Changeset 33813


Ignore:
Timestamp:
12/18/19 21:38:44 (16 months ago)
Author:
ak19
Message:

With the bugfix from yesterday and the inclusion of http(s):mi.* type URLs in setting the Websites mongodb collection's urlContainsLangCodeInPath property, and updated/improved mongodb queries and their results I have now regenerated the latest geojson json data and maps.

Location:
other-projects/maori-lang-detection
Files:
4 added
6 deleted
14 edited
3 moved

Legend:

Unmodified
Added
Removed
  • other-projects/maori-lang-detection/MoreReading/mongodb.txt

    r33807 r33813  
    461461117496
    462462
    463 # Find number of websites who have 1 or more pages in Maori (a positive numPagesInMRI)
     463# Find number of websites that have 1 or more pages detected as being in Maori (a positive numPagesInMRI)
    464464db.getCollection('Websites').find({numPagesInMRI: { $gt: 0}}).count()
    465465361
     
    488488# Number of sites with URLs containing /mi(/)
    489489db.getCollection('Websites').find({urlContainsLangCodeInPath:true}).count()
    490 153
     490X 153
     491# Number of sites with URLs containing /mi(/) OR http(s)://mi.*
     492db.getCollection('Websites').find({urlContainsLangCodeInPath:true}).count()
     493670
    491494
    492495# Number of websites that are outside NZ that contain /mi(/) in any of its sub-urls
    493496db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: {$ne : "NZ"} }).count()
    494 147
    495 
    496 # 5 sites with URLs containing /mi(/) that are in NZ
     497X 147
     498# Number of websites that are outside NZ that contain /mi(/) OR http(s)://mi.* in any of its sub-urls
     499db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: {$ne : "NZ"} }).count()
     500656
     501
     502# 6 sites with URLs containing /mi(/) that are in NZ
    497503db.getCollection('Websites').find({urlContainsLangCodeInPath:true, geoLocationCountryCode: "NZ"}).count()
    498 6
     504X 6
     505# 14 sites with URLs containing /mi(/) OR http(s)://mi.* that are in NZ
     50614
    499507
    500508
     
    609617
    610618WORKS:
    611 // count of country codes for sites that have /mi(/) in path
     619// count of country codes for sites that have /mi(/) or http(s)://mi.* in URL path
    612620
    613621db.Websites.aggregate([
     
    743751# These are the TENTATIVE NON-PRODUCT SITES
    744752# Should be less than the point 4, but more than 1 to 3
     753
    745754db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{urlContainsLangCodeInPath: false}, {$and: [{urlContainsLangCodeInPath: true}, {geoLocationCountryCode: "NZ"}]}]}]}).count()
    746 859
     755X 859
     756
     757Now with http(s)://mi.* also excluded, the above query returns a count of:
     758389
     759
     760
     761BUT THIS IS THE CORRECT VERSION OF THE QUERY:
     762db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{geoLocationCountryCode: "NZ"}, {urlContainsLangCodeInPath: false}]}]}).count()
     763389
     764
    747765
    748766# 6. Now do the counts by country code of the above, by pasting the query of point 5 as the $match clause (i.e. without the .count() suffix)
     
    913931    {
    914932        $match: {
    915             $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPath: {$ne: true}}, ]
     933            $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPath: {$ne: true}}]
    916934        }
    917935    },
     
    926944    { $sort : { count : -1} }
    927945]);
     946
     947
     948We can knock of another 54 non-NZ sites with our new urlContainsLangCodeInPathPrefix field:
     949
     950   db.getCollection('Websites').find({urlContainsLangCodeInPathPrefix: true, geoLocationCountryCode: {$ne: "NZ"}, domain: {$not: /.nz$/}}).count()
     951   54
     952
     953
     954SO, can repeat query with new field "urlContainsLangCodeInPathPrefix":
     955Number of sites containing >= 1 MRI sentences that are not from NZ or of .nz TLD and which don't contain "/mi(/)" or "http(s)://mi." in URL path:
     956   db.getCollection('Websites').find({$and: [
     957                     {numPagesContainingMRI: {$gt: 0}},
     958                     {geoLocationCountryCode: {$ne: "NZ"}},
     959                     {domain: {$not: /.nz$/}},
     960                     {urlContainsLangCodeInPathSuffix: {$ne: true}},
     961                     {urlContainsLangCodeInPathPrefix: {$ne: true}}
     962                ]}).count()
     963
     964   651
     965
     966
     967REDO THE COUNT BY COUNTRY QUERY FOR THIS:
     968
     969db.Websites.aggregate([
     970    {
     971        $match: {
     972            $and: [{numPagesContainingMRI: {$gt: 0}}, {geoLocationCountryCode: {$ne: "NZ"}}, {domain: {$not: /.nz$/}}, {urlContainsLangCodeInPathSuffix: {$ne: true}}, {urlContainsLangCodeInPathPrefix: {$ne: true}}]
     973        }
     974    },
     975    { $unwind: "$geoLocationCountryCode" },
     976    {
     977        $group: {
     978            _id: {$toLower: '$geoLocationCountryCode'},
     979            count: { $sum: 1 },
     980            domain: { $addToSet: '$domain' }
     981        }
     982    },
     983    { $sort : { count : -1} }
     984]);
     985
     986
     987AFTER BUGFIX FOR miInURLPath being set at the correct now:
     988db.getCollection('Websites').find(
     989{$and: [
     990    {numPagesContainingMRI: {$gt: 0}},
     991    {geoLocationCountryCode: {$ne: "NZ"}},
     992    {domain: {$not: /.nz$/}},
     993    {urlContainsLangCodeInPath: {$ne: true}}
     994]}).count()
     995
     996220
     997
     998db.Websites.aggregate([
     999    {
     1000        $match: {
     1001            $and: [
     1002            {numPagesContainingMRI: {$gt: 0}},
     1003            {geoLocationCountryCode: {$ne: "NZ"}},
     1004            {domain: {$not: /.nz$/}},
     1005            {urlContainsLangCodeInPath: {$ne: true}}
     1006            ]
     1007        }
     1008    },
     1009    { $unwind: "$geoLocationCountryCode" },
     1010    {
     1011        $group: {
     1012            _id: {$toLower: '$geoLocationCountryCode'},
     1013            count: { $sum: 1 },
     1014            domain: { $addToSet: '$domain' }
     1015        }
     1016    },
     1017    { $sort : { count : -1} }
     1018]);
     1019
     1020Can inspect websites' pages for whether it's relevant/auto-translated as follows:
     1021    db.getCollection('Webpages').find({URL:/svenkirsten.com/, mriSentenceCount: {$gt: 0}})
     1022
    9281023
    9291024* CN: Only 1/113 sites from CN stood out as being of interest: http://kiwi2china.com/
     
    9371032    http://splaf.free.fr/pfurb.html - Tahiti, French Polynesian, ... island names
    9381033    http://mi.fitnessrebates.com - Uses https://wordpress.org/plugins/weglot/ wordpress-compatible multilingual plugin, which ensures translated pages get indexed by google - exactly what we want to avoid
    939 *
    940 
     1034*
     1035
     1036
     1037DE:
     1038http://etymologie.info/~e/n_/nz-___reg.html - placenames, not meaningful
     1039!! https://www.cartogiraffe.com/ - some genuine pages (Rarotongan), but one page is in Czech that had a single word misindentified as MRI
     1040~ http://svenkirsten.com/ - one page mentions "tiki" but the rest is in English. The other is an (English) caption of "Book of Tiki A Maori Maiden"
     1041- herocity - autotranslated
     1042- weltderberge.de - 3 pages mention NZ mountains by name.
     1043~ (arts.mythologica.fr) https://mythologica.fr/oceanie/texte/pantheon_polynesien.pdf - mentions certain Maori Gods and other Polynesian Gods by name.
     1044- https://traynews.com - nothing in MRI, misdetected
     1045~ http://klaaskoehne.de/galleries/nzl-taranaki/index.html - mentions NZ mountain names
     1046- http://www.nierstrasz.org/deGrauwRegister.rtf - misdetected European (Dutch) names as MRI
     1047- https://afrikhepri.org/mi/ - autotranslated
     1048- https://www.tvteile.de - pure German pages, misdetected "Automatik" as a Maori language word
     1049- etoile-de-lune.net - 5 pages containing 1 sentence each but none with 2 sentences detected
     1050
     1051- ITALY:
     1052  http://oipaz.net/IMG/GalleriaAotearoa/ - NZ photogallery with each photo captioned by placename
     1053  http://www.marcosanti.it/Reportage/Oceania_ph/Nuova_Zelanda/ - each photo captioned by NZ placename
     1054  http://www.pegasoesmicamion.com/ - REO abbreviation misidentified, also in REO%20PUBLICIDAD.htm
     1055- AUSTRIA:
     1056  petit-prince.at - Tahitian and Wayuu (Venezuela) translations of Le Petit Prince
     1057  http://www.tmtmm.net/newzealand - photos from NZ named after places and people's names
     1058- ROMANIA: parohiauceadesus.ro - Sentences of single Romanian words misidentified.
     1059- ISRAEL:
     1060  http://www.daat.ac.il - misidentification of "no." as MRI, and Hebrew words.
     1061  https://www.hitiaotera.com/ - misidentifiation of Tahitian pages
     1062- RUSSIA: https://www.gismeteo.lv - misidentification of an email address
     1063- JAPAN: http://yutaka.it-n.jp - many pages of scientific names of (plants?) which are often misdetected as MRI
     1064!! Ireland, ie: https://coggle.it
     1065- IRAN: https://www.dideo.ir/v/yt/d6cgya0ze-E - video title from MaoriTelevision website
     1066? - CZECH republic: https://www.fipojobs.com/new-zealand/jobs-work-p-1 - NZ job position title in MRI but rest in English
     1067- SPAIN: http://www.info-hoteles.com/nz/2/hotels_lake_rotoiti.asp - 2 uses of the same placename
     1068- SINGAPORE: https://omg-solutions.com - autotranslated
     1069- TURKEY: https://www.elitedeluxe.com.tr/mi/yatak-odasi-takimlari - autotranslated
     1070- MEXICO: http://www.gelbukh.com - misidentification, lines of just numbers or phrases like "Area Chair" in English and Russian CVs.
     1071- FINLAND: http://pertti.com - travelogue, placenames
     1072- SWITZERLAND CH:
     1073  nicoledidi.ch - blog, placenames
     1074  https://photos.axelebert.org - Tahiti related content
     1075- UNKNOWN: https://www.viveipcl.com: tours website, placenames mentioned
     1076#- EU: https://www.the-good-stuff-factory.be/mi/ : Autotranslated
     1077!! - BULGARIA: http://anitra.net/activism/humanrights/UDHR/rrt_print.htm (2 pages)
     1078
     1079
     1080TREATING AUSTRALIA AND GREAT BRITAIN MORE SPECIALLY (don't ignore /mi in URL, same as with NZ, but do leave out .nz TLDs since we cover them under NZ - TODO: later find country codes of all .nz TLDs):
     1081[nothing found under "UK", only under "GB"]
     1082
     1083db.getCollection('Websites').find({
     1084    domain: {$not: /.nz$/},
     1085    numPagesContainingMRI: {$gt: 0},   
     1086    $or: [{geoLocationCountryCode: "AU"}, {geoLocationCountryCode: "GB"}]
     1087}).count()
     108811
     1089
     1090db.Websites.aggregate([
     1091    {
     1092        $match: {
     1093           domain: {$not: /.nz$/},
     1094           numPagesContainingMRI: {$gt: 0},           
     1095           $or: [{geoLocationCountryCode: "AU"}, {geoLocationCountryCode: "GB"}]
     1096        }
     1097    },
     1098    { $unwind: "$geoLocationCountryCode" },
     1099    {
     1100        $group: {
     1101            _id: {$toLower: '$geoLocationCountryCode'},
     1102            count: { $sum: 1 },
     1103            domain: { $addToSet: '$domain' }
     1104        }
     1105    },
     1106    { $sort : { count : -1} }
     1107]);
     1108
     1109AUSTRALIA:
     1110!!  https://www.kiwiproperty.com - e.g. https://www.kiwiproperty.com/the-base/mi/he-paepaki/ has some actual MRI sentences. [Not autotranslated]
     1111?   http://fionajack.net - Wellington gallery of artist. A few occurrences of Kia Ora in a title like context (e.g. "Street Party Kia Ora! Kia Ora!")
     1112!!  https://infogram.com/te-marautanga-o-aotearoa-moe-pld-allocations-2012-1go502ygvn562jd  - site of individual pages (like docs.google.com). This one has a relevant infogram image.
     1113!!  https://koreromaori.com - some actual Maori language sentences
     1114    http://theunderwaterworld.com/Galleries/Roimata/roimata-frame.html - placenames
     1115
     1116UK:
     1117    http://www.wordsearchfun.com/200628_Word_Find_wordsearch.html - 2 word games with Maori words (one of them has 3 different views, e.g. print view)
     1118?   https://omniatlas.com/maps/australasia/18400206/plain/ - historical map with Maori iwi names over NZ map regions
     1119?      https://omniatlas.com/maps/australasia/18400206/ - historical map of Australia and NZ at the time of the Treaty of Waitangi, with events marked in English
     1120    https://centrallanguageschool.com - AUTOTRANSLATED
     1121    https://www.solasolv.com - Autotranslated product site
     1122    http://mikestephens.co.uk/ - photo captions containing NZ placenames
     1123    http://www.woolrych.org/nzholiday2004/ - photogallery captioned with NZ placenames
    9411124--------------
    9421125
     
    9591142
    9601143---------------------
     1144
     1145Count of websites that have at least 1 page containing at least one sentence detected as MRI
     1146AND which websites have mi in the URL path:
     1147
     1148db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{urlContainsLangCodeInPath: true}]}).count()
     1149
     1150491
     1151
     1152
     1153
     1154# The websites that have some MRI detected AND which are either in NZ or with NZ TLD
     1155# or (so if they're from overseas) don't contain /mi or mi.* in URL path:
     1156
     1157db.getCollection('Websites').find({$and: [{numPagesContainingMRI: {$gt: 0}},{$or: [{geoLocationCountryCode: "NZ"}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}]}).count()
     1158396
     1159
     1160Include Australia (to get the valid "kiwiproperty.com" website included in the result list):
     1161
     1162db.getCollection('Websites').find({$and: [
     1163                {numPagesContainingMRI: {$gt: 0}},
     1164                {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}
     1165            ]}).count()
     1166
     1167397
     1168
     1169# aggregate results by a count of country codes
     1170db.Websites.aggregate([
     1171    {
     1172        $match: {
     1173            $and: [
     1174                {numPagesContainingMRI: {$gt: 0}},
     1175                {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}
     1176            ]
     1177        }
     1178    },
     1179    { $unwind: "$geoLocationCountryCode" },
     1180    {
     1181        $group: {
     1182            _id: {$toLower: '$geoLocationCountryCode'},
     1183            count: { $sum: 1 }
     1184        }
     1185    },
     1186    { $sort : { count : -1} }
     1187]);
     1188
     1189
     1190# Just considering those sites outside NZ or not with .nz TLD:
     1191
     1192db.getCollection('Websites').find({$and: [
     1193                {geoLocationCountryCode: {$ne: "NZ"}},
     1194                {domain: {$not: /\.nz/}},
     1195                {numPagesContainingMRI: {$gt: 0}},
     1196                {$or: [{geoLocationCountryCode: "AU"}, {urlContainsLangCodeInPath: false}]}           
     1197            ]}).count()
     1198
     1199221 websites
     1200
     1201# counts by country code excluding NZ related sites
     1202db.Websites.aggregate([
     1203    {
     1204        $match: {
     1205            $and: [
     1206                {geoLocationCountryCode: {$ne: "NZ"}},
     1207                {domain: {$not: /\.nz/}},
     1208                {numPagesContainingMRI: {$gt: 0}},
     1209                {$or: [{geoLocationCountryCode: "AU"}, {urlContainsLangCodeInPath: false}]}           
     1210            ]
     1211        }
     1212    },
     1213    { $unwind: "$geoLocationCountryCode" },
     1214    {
     1215        $group: {
     1216            _id: {$toLower: '$geoLocationCountryCode'},
     1217            count: { $sum: 1 },
     1218            domain: { $addToSet: '$domain' }
     1219        }
     1220    },
     1221    { $sort : { count : -1} }
     1222]);
     1223
     1224
     1225# But to produce the tentative non-product sites, we also want the aggregate for all NZ sites (from NZ or with .nz tld):
     1226db.getCollection('Websites').find({$and: [
     1227                {numPagesContainingMRI: {$gt: 0}},
     1228                {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]}
     1229            ]}).count()
     1230
     1231176
     1232
     1233(Total is 221+176 = 397, which adds up).
     1234
     1235# Get the count (and domain listing) output put under a hardcoded  _id of "nz":
     1236db.Websites.aggregate([
     1237    {
     1238        $match: {
     1239            $and: [
     1240                {numPagesContainingMRI: {$gt: 0}},
     1241                {$or: [{geoLocationCountryCode:"NZ"},{domain: /\.nz/}]}
     1242            ]
     1243        }
     1244    },
     1245    { $unwind: "$geoLocationCountryCode" },
     1246    {
     1247        $group: {
     1248            _id: "nz",
     1249            count: { $sum: 1 },
     1250            domain: { $addToSet: '$domain' }
     1251        }
     1252    },
     1253    { $sort : { count : -1} }
     1254]);
  • other-projects/maori-lang-detection/mongodb-data/counts_allCrawledSites.json

    r33811 r33813  
     1/*
     2Num websites:
     3db.getCollection('Websites').find({}).count()
     4= 1445
     5
     6Num webpages
     7db.getCollection('Webpages').find({}).count()
     8= 117496
     9
     10Count of country codes for all sites:
     11db.Websites.aggregate([
     12   
     13    { $unwind: "$geoLocationCountryCode" },
     14    {
     15        $group: {
     16            _id: "$geoLocationCountryCode",
     17            count: { $sum: 1 }
     18        }
     19    },
     20    { $sort : { count : -1} }
     21]);
     22*/
     23
    124/* 1 */
    225{
    326    "_id" : "US",
    4     "count" : 686.0
     27    "count" : 696.0
    528}
    629
     
    831{
    932    "_id" : "UNKNOWN",
    10     "count" : 171.0
     33    "count" : 173.0
    1134}
    1235
    1336/* 3 */
    1437{
     38    "_id" : "CN",
     39    "count" : 125.0
     40}
     41
     42/* 4 */
     43{
    1544    "_id" : "NZ",
    16     "count" : 128.0
    17 }
    18 
    19 /* 4 */
    20 {
    21     "_id" : "CN",
    22     "count" : 124.0
     45    "count" : 115.0
    2346}
    2447
     
    4467{
    4568    "_id" : "NL",
    46     "count" : 31.0
     69    "count" : 32.0
    4770}
    4871
     
    5073{
    5174    "_id" : "CA",
    52     "count" : 21.0
     75    "count" : 19.0
    5376}
    5477
     
    6184/* 11 */
    6285{
     86    "_id" : "DK",
     87    "count" : 10.0
     88}
     89
     90/* 12 */
     91{
    6392    "_id" : "JP",
    6493    "count" : 10.0
    6594}
    6695
    67 /* 12 */
    68 {
    69     "_id" : "DK",
    70     "count" : 10.0
    71 }
    72 
    7396/* 13 */
    7497{
     
    79102/* 14 */
    80103{
     104    "_id" : "RU",
     105    "count" : 7.0
     106}
     107
     108/* 15 */
     109{
     110    "_id" : "HK",
     111    "count" : 7.0
     112}
     113
     114/* 16 */
     115{
    81116    "_id" : "CZ",
    82117    "count" : 7.0
    83118}
    84119
    85 /* 15 */
    86 {
    87     "_id" : "RU",
    88     "count" : 7.0
    89 }
    90 
    91 /* 16 */
    92 {
    93     "_id" : "HK",
    94     "count" : 7.0
    95 }
    96 
    97120/* 17 */
    98 {
    99     "_id" : "IT",
    100     "count" : 5.0
    101 }
    102 
    103 /* 18 */
    104 {
    105     "_id" : "SE",
    106     "count" : 5.0
    107 }
    108 
    109 /* 19 */
    110121{
    111122    "_id" : "UA",
     
    113124}
    114125
    115 /* 20 */
     126/* 18 */
    116127{
    117128    "_id" : "IE",
     
    119130}
    120131
     132/* 19 */
     133{
     134    "_id" : "SE",
     135    "count" : 4.0
     136}
     137
     138/* 20 */
     139{
     140    "_id" : "IT",
     141    "count" : 4.0
     142}
     143
    121144/* 21 */
    122145{
     146    "_id" : "RO",
     147    "count" : 3.0
     148}
     149
     150/* 22 */
     151{
     152    "_id" : "SG",
     153    "count" : 3.0
     154}
     155
     156/* 23 */
     157{
     158    "_id" : "AT",
     159    "count" : 3.0
     160}
     161
     162/* 24 */
     163{
     164    "_id" : "CH",
     165    "count" : 3.0
     166}
     167
     168/* 25 */
     169{
     170    "_id" : "IL",
     171    "count" : 3.0
     172}
     173
     174/* 26 */
     175{
    123176    "_id" : "IN",
    124177    "count" : 3.0
    125178}
    126179
    127 /* 22 */
    128 {
    129     "_id" : "CH",
    130     "count" : 3.0
    131 }
    132 
    133 /* 23 */
    134 {
    135     "_id" : "IL",
    136     "count" : 3.0
    137 }
    138 
    139 /* 24 */
    140 {
    141     "_id" : "AT",
    142     "count" : 3.0
    143 }
    144 
    145 /* 25 */
    146 {
    147     "_id" : "RO",
    148     "count" : 2.0
    149 }
    150 
    151 /* 26 */
     180/* 27 */
     181{
     182    "_id" : "PL",
     183    "count" : 2.0
     184}
     185
     186/* 28 */
     187{
     188    "_id" : "ZA",
     189    "count" : 2.0
     190}
     191
     192/* 29 */
     193{
     194    "_id" : "VG",
     195    "count" : 2.0
     196}
     197
     198/* 30 */
    152199{
    153200    "_id" : "CK",
     
    155202}
    156203
    157 /* 27 */
    158 {
    159     "_id" : "VG",
    160     "count" : 2.0
    161 }
    162 
    163 /* 28 */
    164 {
    165     "_id" : "ZA",
    166     "count" : 2.0
    167 }
    168 
    169 /* 29 */
    170 {
    171     "_id" : "PL",
    172     "count" : 2.0
    173 }
    174 
    175 /* 30 */
     204/* 31 */
     205{
     206    "_id" : "BG",
     207    "count" : 1.0
     208}
     209
     210/* 32 */
     211{
     212    "_id" : "PF",
     213    "count" : 1.0
     214}
     215
     216/* 33 */
     217{
     218    "_id" : "IO",
     219    "count" : 1.0
     220}
     221
     222/* 34 */
    176223{
    177224    "_id" : "GR",
     
    179226}
    180227
    181 /* 31 */
     228/* 35 */
     229{
     230    "_id" : "MX",
     231    "count" : 1.0
     232}
     233
     234/* 36 */
     235{
     236    "_id" : "TR",
     237    "count" : 1.0
     238}
     239
     240/* 37 */
     241{
     242    "_id" : "ME",
     243    "count" : 1.0
     244}
     245
     246/* 38 */
    182247{
    183248    "_id" : "FI",
     
    185250}
    186251
    187 /* 32 */
    188 {
    189     "_id" : "ME",
    190     "count" : 1.0
    191 }
    192 
    193 /* 33 */
     252/* 39 */
     253{
     254    "_id" : "EU",
     255    "count" : 1.0
     256}
     257
     258/* 40 */
     259{
     260    "_id" : "IR",
     261    "count" : 1.0
     262}
     263
     264/* 41 */
    194265{
    195266    "_id" : "PT",
    196267    "count" : 1.0
    197268}
    198 
    199 /* 34 */
    200 {
    201     "_id" : "IR",
    202     "count" : 1.0
    203 }
    204 
    205 /* 35 */
    206 {
    207     "_id" : "EU",
    208     "count" : 1.0
    209 }
    210 
    211 /* 36 */
    212 {
    213     "_id" : "TR",
    214     "count" : 1.0
    215 }
    216 
    217 /* 37 */
    218 {
    219     "_id" : "MX",
    220     "count" : 1.0
    221 }
    222 
    223 /* 38 */
    224 {
    225     "_id" : "IO",
    226     "count" : 1.0
    227 }
    228 
    229 /* 39 */
    230 {
    231     "_id" : "PF",
    232     "count" : 1.0
    233 }
    234 
    235 /* 40 */
    236 {
    237     "_id" : "BG",
    238     "count" : 1.0
    239 }
    240 
    241 /* 41 */
    242 {
    243     "_id" : "SG",
    244     "count" : 1.0
    245 }
  • other-projects/maori-lang-detection/mongodb-data/counts_miInUrlPath.json

    r33797 r33813  
    22{
    33    "_id" : "us",
    4     "count" : 93.0
     4    "count" : 408.0
    55}
    66
     
    88{
    99    "_id" : "cn",
     10    "count" : 123.0
     11}
     12
     13/* 3 */
     14{
     15    "_id" : "fr",
     16    "count" : 34.0
     17}
     18
     19/* 4 */
     20{
     21    "_id" : "unknown",
     22    "count" : 19.0
     23}
     24
     25/* 5 */
     26{
     27    "_id" : "nz",
     28    "count" : 14.0
     29}
     30
     31/* 6 */
     32{
     33    "_id" : "de",
     34    "count" : 12.0
     35}
     36
     37/* 7 */
     38{
     39    "_id" : "nl",
     40    "count" : 8.0
     41}
     42
     43/* 8 */
     44{
     45    "_id" : "hk",
    1046    "count" : 7.0
    1147}
    1248
    13 /* 3 */
     49/* 9 */
    1450{
    1551    "_id" : "au",
     
    1753}
    1854
    19 /* 4 */
     55/* 10 */
    2056{
    21     "_id" : "de",
     57    "_id" : "ca",
     58    "count" : 7.0
     59}
     60
     61/* 11 */
     62{
     63    "_id" : "gb",
    2264    "count" : 5.0
    2365}
    2466
    25 /* 5 */
     67/* 12 */
    2668{
    27     "_id" : "hk",
     69    "_id" : "jp",
    2870    "count" : 5.0
    2971}
    3072
    31 /* 6 */
     73/* 13 */
    3274{
    33     "_id" : "nz",
    34     "count" : 5.0
     75    "_id" : "ua",
     76    "count" : 4.0
    3577}
    3678
    37 /* 7 */
     79/* 14 */
    3880{
    3981    "_id" : "ru",
     
    4183}
    4284
    43 /* 8 */
     85/* 15 */
    4486{
    45     "_id" : "gb",
    46     "count" : 3.0
     87    "_id" : "vg",
     88    "count" : 2.0
    4789}
    4890
    49 /* 9 */
     91/* 16 */
    5092{
    51     "_id" : "jp",
    52     "count" : 3.0
     93    "_id" : "sg",
     94    "count" : 2.0
    5395}
    5496
    55 /* 10 */
     97/* 17 */
    5698{
    5799    "_id" : "dk",
     
    59101}
    60102
    61 /* 11 */
     103/* 18 */
    62104{
    63     "_id" : "ca",
    64     "count" : 2.0
    65 }
    66 
    67 /* 12 */
    68 {
    69     "_id" : "fr",
    70     "count" : 2.0
    71 }
    72 
    73 /* 13 */
    74 {
    75     "_id" : "vg",
    76     "count" : 2.0
    77 }
    78 
    79 /* 14 */
    80 {
    81     "_id" : "nl",
     105    "_id" : "se",
    82106    "count" : 1.0
    83107}
    84108
    85 /* 15 */
     109/* 19 */
    86110{
    87     "_id" : "ch",
     111    "_id" : "ie",
    88112    "count" : 1.0
    89113}
    90114
    91 /* 16 */
     115/* 20 */
     116{
     117    "_id" : "es",
     118    "count" : 1.0
     119}
     120
     121/* 21 */
     122{
     123    "_id" : "tr",
     124    "count" : 1.0
     125}
     126
     127/* 22 */
    92128{
    93129    "_id" : "za",
     
    95131}
    96132
    97 /* 17 */
     133/* 23 */
    98134{
    99135    "_id" : "cz",
     
    101137}
    102138
    103 /* 18 */
     139/* 24 */
    104140{
    105     "_id" : "kr",
     141    "_id" : "eu",
    106142    "count" : 1.0
    107143}
    108 
    109 /* 19 */
    110 {
    111     "_id" : "ua",
    112     "count" : 1.0
    113 }
  • other-projects/maori-lang-detection/mongodb-data/counts_noMiInUrlPath.json

    r33798 r33813  
    22{
    33    "_id" : "us",
    4     "count" : 612.0
     4    "count" : 288.0
    55}
    66
     
    88{
    99    "_id" : "unknown",
    10     "count" : 150.0
     10    "count" : 154.0
    1111}
    1212
     
    1414{
    1515    "_id" : "nz",
    16     "count" : 112.0
     16    "count" : 101.0
    1717}
    1818
    1919/* 4 */
    2020{
    21     "_id" : "cn",
    22     "count" : 106.0
     21    "_id" : "de",
     22    "count" : 40.0
    2323}
    2424
    2525/* 5 */
    2626{
     27    "_id" : "au",
     28    "count" : 36.0
     29}
     30
     31/* 6 */
     32{
    2733    "_id" : "fr",
    28     "count" : 69.0
    29 }
    30 
    31 /* 6 */
    32 {
    33     "_id" : "de",
    34     "count" : 46.0
     34    "count" : 35.0
    3535}
    3636
    3737/* 7 */
    3838{
    39     "_id" : "au",
    40     "count" : 35.0
     39    "_id" : "nl",
     40    "count" : 24.0
    4141}
    4242
    4343/* 8 */
    4444{
    45     "_id" : "nl",
    46     "count" : 30.0
     45    "_id" : "gb",
     46    "count" : 13.0
    4747}
    4848
     
    5050{
    5151    "_id" : "ca",
    52     "count" : 21.0
     52    "count" : 12.0
    5353}
    5454
    5555/* 10 */
    56 {
    57     "_id" : "gb",
    58     "count" : 15.0
    59 }
    60 
    61 /* 11 */
    62 {
    63     "_id" : "es",
    64     "count" : 8.0
    65 }
    66 
    67 /* 12 */
    6856{
    6957    "_id" : "dk",
     
    7159}
    7260
     61/* 11 */
     62{
     63    "_id" : "es",
     64    "count" : 7.0
     65}
     66
     67/* 12 */
     68{
     69    "_id" : "cz",
     70    "count" : 6.0
     71}
     72
    7373/* 13 */
    7474{
    75     "_id" : "cz",
    76     "count" : 7.0
     75    "_id" : "jp",
     76    "count" : 5.0
    7777}
    7878
    7979/* 14 */
    80 {
    81     "_id" : "jp",
    82     "count" : 7.0
    83 }
    84 
    85 /* 15 */
    8680{
    8781    "_id" : "it",
     
    8983}
    9084
     85/* 15 */
     86{
     87    "_id" : "in",
     88    "count" : 3.0
     89}
     90
    9191/* 16 */
    9292{
    93     "_id" : "in",
     93    "_id" : "ie",
    9494    "count" : 3.0
    9595}
     
    9797/* 17 */
    9898{
    99     "_id" : "ua",
     99    "_id" : "at",
    100100    "count" : 3.0
    101101}
     
    103103/* 18 */
    104104{
    105     "_id" : "at",
     105    "_id" : "ro",
    106106    "count" : 3.0
    107107}
     
    109109/* 19 */
    110110{
    111     "_id" : "ie",
     111    "_id" : "ru",
    112112    "count" : 3.0
    113113}
     
    115115/* 20 */
    116116{
     117    "_id" : "se",
     118    "count" : 3.0
     119}
     120
     121/* 21 */
     122{
    117123    "_id" : "ch",
    118124    "count" : 3.0
    119125}
    120126
    121 /* 21 */
    122 {
    123     "_id" : "se",
    124     "count" : 3.0
    125 }
    126 
    127127/* 22 */
    128128{
    129     "_id" : "ru",
     129    "_id" : "il",
    130130    "count" : 3.0
    131131}
     
    133133/* 23 */
    134134{
    135     "_id" : "il",
    136     "count" : 3.0
     135    "_id" : "pl",
     136    "count" : 2.0
    137137}
    138138
     
    145145/* 25 */
    146146{
    147     "_id" : "pl",
     147    "_id" : "cn",
    148148    "count" : 2.0
    149149}
     
    151151/* 26 */
    152152{
    153     "_id" : "ro",
    154     "count" : 2.0
     153    "_id" : "sg",
     154    "count" : 1.0
    155155}
    156156
    157157/* 27 */
    158158{
    159     "_id" : "sg",
     159    "_id" : "mx",
    160160    "count" : 1.0
    161161}
     
    163163/* 28 */
    164164{
    165     "_id" : "mx",
     165    "_id" : "io",
    166166    "count" : 1.0
    167167}
     
    169169/* 29 */
    170170{
     171    "_id" : "za",
     172    "count" : 1.0
     173}
     174
     175/* 30 */
     176{
    171177    "_id" : "ir",
    172178    "count" : 1.0
    173179}
    174180
    175 /* 30 */
    176 {
    177     "_id" : "eu",
    178     "count" : 1.0
    179 }
    180 
    181181/* 31 */
    182182{
     183    "_id" : "ua",
     184    "count" : 1.0
     185}
     186
     187/* 32 */
     188{
    183189    "_id" : "bg",
    184190    "count" : 1.0
    185191}
    186192
    187 /* 32 */
     193/* 33 */
    188194{
    189195    "_id" : "gr",
     
    191197}
    192198
    193 /* 33 */
     199/* 34 */
     200{
     201    "_id" : "fi",
     202    "count" : 1.0
     203}
     204
     205/* 35 */
     206{
     207    "_id" : "me",
     208    "count" : 1.0
     209}
     210
     211/* 36 */
     212{
     213    "_id" : "pf",
     214    "count" : 1.0
     215}
     216
     217/* 37 */
    194218{
    195219    "_id" : "pt",
     
    197221}
    198222
    199 /* 34 */
    200 {
    201     "_id" : "fi",
    202     "count" : 1.0
    203 }
    204 
    205 /* 35 */
    206 {
    207     "_id" : "pf",
    208     "count" : 1.0
    209 }
    210 
  • other-projects/maori-lang-detection/mongodb-data/counts_sitesWithPagesContainingMRI.json

    r33803 r33813  
     1/*
     2Number of sites containing at least one sentence for which OpenNLP detected the best language = MRI
     3
     4db.getCollection('Websites').find({numPagesContainingMRI: {$gt: 0}}).count()
     5868
     6
     7
     8Obviously, the following should be equal to that:
     9
     10db.getCollection('Websites').find({ $or: [ { numPagesInMRI: { $gt: 0 } }, { numPagesContainingMRI: {$gt: 0} } ] } ).count()
     11868
     12
     13
     14Count of country codes for sites that have at least one page containing at least one sentence detected as MRI by OpenNLP:
     15
     16db.Websites.aggregate([
     17    {
     18        $match: {
     19            numPagesContainingMRI: {$gt: 0}
     20        }
     21    },
     22    { $unwind: "$geoLocationCountryCode" },
     23    {
     24        $group: {
     25            _id: {$toLower: '$geoLocationCountryCode'},
     26            count: { $sum: 1 }
     27        }
     28    },
     29    { $sort : { count : -1} }
     30]);
     31
     32*/
     33
    134/* 1 */
    235{
    336    "_id" : "us",
    4     "count" : 479.0
     37    "count" : 486.0
    538}
    639
     
    1447{
    1548    "_id" : "nz",
    16     "count" : 98.0
     49    "count" : 89.0
    1750}
    1851
     
    3871{
    3972    "_id" : "au",
    40     "count" : 20.0
     73    "count" : 21.0
    4174}
    4275
     
    4477{
    4578    "_id" : "ca",
    46     "count" : 13.0
     79    "count" : 12.0
    4780}
    4881
     
    5588/* 10 */
    5689{
     90    "_id" : "es",
     91    "count" : 7.0
     92}
     93
     94/* 11 */
     95{
    5796    "_id" : "gb",
    5897    "count" : 7.0
    5998}
    6099
    61 /* 11 */
    62 {
    63     "_id" : "es",
    64     "count" : 7.0
    65 }
    66 
    67100/* 12 */
    68101{
     
    73106/* 13 */
    74107{
     108    "_id" : "unknown",
     109    "count" : 3.0
     110}
     111
     112/* 14 */
     113{
     114    "_id" : "at",
     115    "count" : 3.0
     116}
     117
     118/* 15 */
     119{
     120    "_id" : "ro",
     121    "count" : 3.0
     122}
     123
     124/* 16 */
     125{
    75126    "_id" : "it",
    76127    "count" : 3.0
    77128}
    78129
    79 /* 14 */
    80 {
    81     "_id" : "at",
    82     "count" : 3.0
    83 }
    84 
    85 /* 15 */
     130/* 17 */
     131{
     132    "_id" : "sg",
     133    "count" : 2.0
     134}
     135
     136/* 18 */
     137{
     138    "_id" : "jp",
     139    "count" : 2.0
     140}
     141
     142/* 19 */
     143{
     144    "_id" : "ie",
     145    "count" : 2.0
     146}
     147
     148/* 20 */
     149{
     150    "_id" : "hk",
     151    "count" : 2.0
     152}
     153
     154/* 21 */
     155{
     156    "_id" : "ua",
     157    "count" : 2.0
     158}
     159
     160/* 22 */
     161{
     162    "_id" : "ru",
     163    "count" : 2.0
     164}
     165
     166/* 23 */
     167{
     168    "_id" : "ch",
     169    "count" : 2.0
     170}
     171
     172/* 24 */
    86173{
    87174    "_id" : "il",
     
    89176}
    90177
    91 /* 16 */
    92 {
    93     "_id" : "ch",
    94     "count" : 2.0
    95 }
    96 
    97 /* 17 */
    98 {
    99     "_id" : "ro",
    100     "count" : 2.0
    101 }
    102 
    103 /* 18 */
    104 {
    105     "_id" : "ru",
    106     "count" : 2.0
    107 }
    108 
    109 /* 19 */
    110 {
    111     "_id" : "ie",
    112     "count" : 2.0
    113 }
    114 
    115 /* 20 */
    116 {
    117     "_id" : "jp",
    118     "count" : 2.0
    119 }
    120 
    121 /* 21 */
    122 {
    123     "_id" : "hk",
    124     "count" : 2.0
    125 }
    126 
    127 /* 22 */
    128 {
    129     "_id" : "ua",
    130     "count" : 2.0
    131 }
    132 
    133 /* 23 */
    134 {
    135     "_id" : "unknown",
    136     "count" : 2.0
    137 }
    138 
    139 /* 24 */
     178/* 25 */
     179{
     180    "_id" : "tr",
     181    "count" : 1.0
     182}
     183
     184/* 26 */
    140185{
    141186    "_id" : "mx",
     
    143188}
    144189
    145 /* 25 */
     190/* 27 */
     191{
     192    "_id" : "ir",
     193    "count" : 1.0
     194}
     195
     196/* 28 */
     197{
     198    "_id" : "gr",
     199    "count" : 1.0
     200}
     201
     202/* 29 */
     203{
     204    "_id" : "bg",
     205    "count" : 1.0
     206}
     207
     208/* 30 */
     209{
     210    "_id" : "eu",
     211    "count" : 1.0
     212}
     213
     214/* 31 */
    146215{
    147216    "_id" : "fi",
    148217    "count" : 1.0
    149218}
    150 
    151 /* 26 */
    152 {
    153     "_id" : "se",
    154     "count" : 1.0
    155 }
    156 
    157 /* 27 */
    158 {
    159     "_id" : "gr",
    160     "count" : 1.0
    161 }
    162 
    163 /* 28 */
    164 {
    165     "_id" : "eu",
    166     "count" : 1.0
    167 }
    168 
    169 /* 29 */
    170 {
    171     "_id" : "bg",
    172     "count" : 1.0
    173 }
    174 
    175 /* 30 */
    176 {
    177     "_id" : "ir",
    178     "count" : 1.0
    179 }
    180 
    181 /* 31 */
    182 {
    183     "_id" : "tr",
    184     "count" : 1.0
    185 }
    186 
    187 /* 32 */
    188 {
    189     "_id" : "sg",
    190     "count" : 1.0
    191 }
  • other-projects/maori-lang-detection/mongodb-data/counts_sitesWithPagesInMRI.json

    r33805 r33813  
     1/*
     2Number of websites that have 1 or more pages detected as being in Maori, a positive numPagesInMRI.
     3
     4db.getCollection('Websites').find({numPagesInMRI: { $gt: 0}}).count()
     5= 361
     6
     7Count of country codes for sites that have at least one page detected as MRI:
     8
     9db.Websites.aggregate([
     10    {
     11        $match: {
     12            numPagesInMRI: {$gt: 0}
     13        }
     14    },
     15    { $unwind: "$geoLocationCountryCode" },
     16    {
     17        $group: {
     18            _id: {$toLower: '$geoLocationCountryCode'},
     19            count: { $sum: 1 }
     20        }
     21    },
     22    { $sort : { count : -1} }
     23]);
     24*/
     25
    126/* 1 */
    227{
    328    "_id" : "us",
    4     "count" : 207.0
     29    "count" : 206.0
    530}
    631
     
    4974/* 9 */
    5075{
    51     "_id" : "ca",
    52     "count" : 4.0
     76    "_id" : "gb",
     77    "count" : 3.0
    5378}
    5479
    5580/* 10 */
    5681{
    57     "_id" : "gb",
     82    "_id" : "ca",
    5883    "count" : 3.0
    5984}
     
    6186/* 11 */
    6287{
    63     "_id" : "ie",
     88    "_id" : "ua",
    6489    "count" : 2.0
    6590}
     
    6792/* 12 */
    6893{
    69     "_id" : "ua",
     94    "_id" : "ie",
    7095    "count" : 2.0
    7196}
     
    80105{
    81106    "_id" : "sg",
     107    "count" : 2.0
     108}
     109
     110/* 15 */
     111{
     112    "_id" : "unknown",
     113    "count" : 2.0
     114}
     115
     116/* 16 */
     117{
     118    "_id" : "gr",
    82119    "count" : 1.0
    83120}
    84121
    85 /* 15 */
     122/* 17 */
     123{
     124    "_id" : "hk",
     125    "count" : 1.0
     126}
     127
     128/* 18 */
     129{
     130    "_id" : "jp",
     131    "count" : 1.0
     132}
     133
     134/* 19 */
     135{
     136    "_id" : "bg",
     137    "count" : 1.0
     138}
     139
     140/* 20 */
    86141{
    87142    "_id" : "mx",
     
    89144}
    90145
    91 /* 16 */
     146/* 21 */
    92147{
    93     "_id" : "hk",
     148    "_id" : "ro",
    94149    "count" : 1.0
    95150}
    96 
    97 /* 17 */
    98 {
    99     "_id" : "jp",
    100     "count" : 1.0
    101 }
    102 
    103 /* 18 */
    104 {
    105     "_id" : "se",
    106     "count" : 1.0
    107 }
    108 
    109 /* 19 */
    110 {
    111     "_id" : "gr",
    112     "count" : 1.0
    113 }
    114 
    115 /* 20 */
    116 {
    117     "_id" : "unknown",
    118     "count" : 1.0
    119 }
    120 
    121 /* 21 */
    122 {
    123     "_id" : "bg",
    124     "count" : 1.0
    125 }
  • other-projects/maori-lang-detection/mongodb-data/counts_tentativeNonProductSites.json

    r33806 r33813  
     1/*
     2
     3The websites that have some MRI detected AND which are either in NZ or with NZ TLD
     4or (so if they're from overseas) don't contain /mi or mi.* in URL path.
     5We'll include Australia, to get the valid "kiwiproperty.com" website,
     6otherwise the sole exception, included in the result list.
     7
     8
     9db.getCollection('Websites').find({$and: [
     10                {numPagesContainingMRI: {$gt: 0}},
     11                {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}
     12            ]}).count()
     13
     14397
     15
     16Aggregate results by a count of country codes:
     17
     18db.Websites.aggregate([
     19    {
     20        $match: {
     21            $and: [
     22                {numPagesContainingMRI: {$gt: 0}},
     23                {$or: [{geoLocationCountryCode: /(NZ|AU)/}, {domain: /\.nz$/}, {urlContainsLangCodeInPath: false}]}
     24            ]
     25        }
     26    },
     27    { $unwind: "$geoLocationCountryCode" },
     28    {
     29        $group: {
     30            _id: {$toLower: '$geoLocationCountryCode'},
     31            count: { $sum: 1 }
     32        }
     33    },
     34    { $sort : { count : -1} }
     35]);
     36
     37*/
     38
    139/* 1 */
    240{
    341    "_id" : "us",
    4     "count" : 475.0
     42    "count" : 181.0
    543}
    644
    745/* 2 */
    846{
    9     "_id" : "cn",
    10     "count" : 114.0
     47    "_id" : "nz",
     48    "count" : 89.0
    1149}
    1250
    1351/* 3 */
    1452{
    15     "_id" : "nz",
    16     "count" : 98.0
     53    "_id" : "au",
     54    "count" : 21.0
    1755}
    1856
    1957/* 4 */
    2058{
     59    "_id" : "de",
     60    "count" : 19.0
     61}
     62
     63/* 5 */
     64{
    2165    "_id" : "fr",
    22     "count" : 36.0
    23 }
    24 
    25 /* 5 */
    26 {
    27     "_id" : "de",
    28     "count" : 26.0
     66    "count" : 17.0
    2967}
    3068
     
    3270{
    3371    "_id" : "nl",
    34     "count" : 22.0
     72    "count" : 16.0
    3573}
    3674
    3775/* 7 */
    38 {
    39     "_id" : "au",
    40     "count" : 17.0
    41 }
    42 
    43 /* 8 */
    44 {
    45     "_id" : "ca",
    46     "count" : 13.0
    47 }
    48 
    49 /* 9 */
    5076{
    5177    "_id" : "dk",
     
    5379}
    5480
     81/* 8 */
     82{
     83    "_id" : "ca",
     84    "count" : 7.0
     85}
     86
     87/* 9 */
     88{
     89    "_id" : "es",
     90    "count" : 6.0
     91}
     92
    5593/* 10 */
    5694{
    57     "_id" : "es",
    58     "count" : 7.0
     95    "_id" : "gb",
     96    "count" : 5.0
    5997}
    6098
    6199/* 11 */
    62 {
    63     "_id" : "gb",
    64     "count" : 7.0
    65 }
    66 
    67 /* 12 */
    68100{
    69101    "_id" : "cz",
     
    71103}
    72104
     105/* 12 */
     106{
     107    "_id" : "at",
     108    "count" : 3.0
     109}
     110
    73111/* 13 */
    74112{
     
    79117/* 14 */
    80118{
    81     "_id" : "at",
     119    "_id" : "ro",
    82120    "count" : 3.0
    83121}
    84122
    85123/* 15 */
     124{
     125    "_id" : "il",
     126    "count" : 2.0
     127}
     128
     129/* 16 */
    86130{
    87131    "_id" : "ch",
     
    89133}
    90134
    91 /* 16 */
    92 {
    93     "_id" : "ro",
    94     "count" : 2.0
    95 }
    96 
    97135/* 17 */
    98136{
    99     "_id" : "il",
    100     "count" : 2.0
     137    "_id" : "bg",
     138    "count" : 1.0
    101139}
    102140
    103141/* 18 */
    104142{
     143    "_id" : "sg",
     144    "count" : 1.0
     145}
     146
     147/* 19 */
     148{
     149    "_id" : "mx",
     150    "count" : 1.0
     151}
     152
     153/* 20 */
     154{
     155    "_id" : "ir",
     156    "count" : 1.0
     157}
     158
     159/* 21 */
     160{
     161    "_id" : "cn",
     162    "count" : 1.0
     163}
     164
     165/* 22 */
     166{
     167    "_id" : "ie",
     168    "count" : 1.0
     169}
     170
     171/* 23 */
     172{
     173    "_id" : "jp",
     174    "count" : 1.0
     175}
     176
     177/* 24 */
     178{
     179    "_id" : "fi",
     180    "count" : 1.0
     181}
     182
     183/* 25 */
     184{
     185    "_id" : "gr",
     186    "count" : 1.0
     187}
     188
     189/* 26 */
     190{
     191    "_id" : "ru",
     192    "count" : 1.0
     193}
     194
     195/* 27 */
     196{
    105197    "_id" : "unknown",
    106     "count" : 2.0
    107 }
    108 
    109 /* 19 */
    110 {
    111     "_id" : "hk",
    112     "count" : 2.0
    113 }
    114 
    115 /* 20 */
    116 {
    117     "_id" : "jp",
    118     "count" : 2.0
    119 }
    120 
    121 /* 21 */
    122 {
    123     "_id" : "ie",
    124     "count" : 2.0
    125 }
    126 
    127 /* 22 */
    128 {
    129     "_id" : "ua",
    130     "count" : 2.0
    131 }
    132 
    133 /* 23 */
    134 {
    135     "_id" : "se",
    136     "count" : 1.0
    137 }
    138 
    139 /* 24 */
    140 {
    141     "_id" : "gr",
    142     "count" : 1.0
    143 }
    144 
    145 /* 25 */
    146 {
    147     "_id" : "ru",
    148     "count" : 1.0
    149 }
    150 
    151 /* 26 */
    152 {
    153     "_id" : "eu",
    154     "count" : 1.0
    155 }
    156 
    157 /* 27 */
    158 {
    159     "_id" : "bg",
    160     "count" : 1.0
    161 }
    162 
    163 /* 28 */
    164 {
    165     "_id" : "fi",
    166     "count" : 1.0
    167 }
    168 
    169 /* 29 */
    170 {
    171     "_id" : "sg",
    172     "count" : 1.0
    173 }
    174 
    175 /* 30 */
    176 {
    177     "_id" : "tr",
    178     "count" : 1.0
    179 }
    180 
    181 /* 31 */
    182 {
    183     "_id" : "mx",
    184     "count" : 1.0
    185 }
    186 
    187 /* 32 */
    188 {
    189     "_id" : "ir",
    190     "count" : 1.0
    191 }
     198    "count" : 1.0
     199}
     200
  • other-projects/maori-lang-detection/mongodb-data/geojson-features_allCrawledSites.json

    r33811 r33813  
    1 {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-127.712891,37.09024],[-127.712891,79.96524],[-63.712891,79.96524],[-63.712891,37.09024],[-127.712891,37.09024]]]},"properties":{"code":"US","count":686,"region":"United States"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[53.0,-70.0],[53.0,15.5],[61.0,15.5],[61.0,-70.0],[53.0,-70.0]]]},"properties":{"code":"UNKNOWN","count":171,"region":"UNKNOWN"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[172.885971,-40.900557],[172.885971,87.09944300000001],[176.885971,87.09944300000001],[176.885971,-40.900557],[172.885971,-40.900557]]]},"properties":{"code":"NZ","count":128,"region":"New Zealand"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[96.195397,35.86166],[96.195397,66.86166],[112.195397,66.86166],[112.195397,35.86166],[96.195397,35.86166]]]},"properties":{"code":"CN","count":124,"region":"China"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-1.786251,46.227638],[-1.786251,80.727638],[6.213749,80.727638],[6.213749,46.227638],[-1.786251,46.227638]]]},"properties":{"code":"FR","count":69,"region":"France"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[6.451525999999999,51.165691],[6.451525999999999,77.16569100000001],[14.451526,77.16569100000001],[14.451526,51.165691],[6.451525999999999,51.165691]]]},"properties":{"code":"DE","count":52,"region":"Germany"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[131.775136,-25.274398],[131.775136,17.725602],[135.775136,17.725602],[135.775136,-25.274398],[131.775136,-25.274398]]]},"properties":{"code":"AU","count":43,"region":"Australia"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[3.2912660000000002,52.132633],[3.2912660000000002,83.132633],[7.291266,83.132633],[7.291266,52.132633],[3.2912660000000002,52.132633]]]},"properties":{"code":"NL","count":31,"region":"Netherlands"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-108.346771,56.130366],[-108.346771,77.13036600000001],[-104.346771,77.13036600000001],[-104.346771,56.130366],[-108.346771,56.130366]]]},"properties":{"code":"CA","count":21,"region":"Canada"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-5.435973000000001,55.378051],[-5.435973000000001,73.378051],[-1.4359730000000002,73.378051],[-1.4359730000000002,55.378051],[-5.435973000000001,55.378051]]]},"properties":{"code":"GB","count":18,"region":"United Kingdom"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[136.252924,36.204824],[136.252924,46.204824],[140.252924,46.204824],[140.252924,36.204824],[136.252924,36.204824]]]},"properties":{"code":"JP","count":10,"region":"Japan"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[7.501785,56.26392],[7.501785,66.26392],[11.501785,66.26392],[11.501785,56.26392],[7.501785,56.26392]]]},"properties":{"code":"DK","count":10,"region":"Denmark"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-5.74922,40.463667],[-5.74922,48.463667],[-1.7492200000000002,48.463667],[-1.7492200000000002,40.463667],[-5.74922,40.463667]]]},"properties":{"code":"ES","count":8,"region":"Spain"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[13.472962,49.817492],[13.472962,56.817492],[17.472962000000003,56.817492],[17.472962000000003,49.817492],[13.472962,49.817492]]]},"properties":{"code":"CZ","count":7,"region":"Czech Republic"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[103.318756,61.52401],[103.318756,68.52401],[107.318756,68.52401],[107.318756,61.52401],[103.318756,61.52401]]]},"properties":{"code":"RU","count":7,"region":"Russia"}},{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[112.109497,22.396428],[112.109497,29.396428],[116.109497,29.396428],[116.109497,22.396428],[112.109497,22.396428]]]},"properties":{"code":"HK","count":7,"region":"Hong 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  • other-projects/maori-lang-detection/mongodb-data/geojson-features_sitesWithPagesContainingMRI.json

    r33803 r33813  
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  • other-projects/maori-lang-detection/mongodb-data/geojson-features_sitesWithPagesInMRI.json

    r33805 r33813  
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  • other-projects/maori-lang-detection/mongodb-data/geojson-features_tentativeNonProductSites.json

    r33806 r33813  
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  • other-projects/maori-lang-detection/mongodb-data/multipoint_allCrawledSites.json

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    35     [-8.224454,39.399872],
     41    [-20.0,50.0],
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    37     [-20.0,50.0],
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    43     [103.819836,1.352083]
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    4444]}
  • other-projects/maori-lang-detection/mongodb-data/multipoint_sitesWithPagesContainingMRI.json

    r33803 r33813  
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    1111    [9.501785,56.26392],
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     33    [25.748151,61.92411]
    3534]}
  • other-projects/maori-lang-detection/mongodb-data/multipoint_sitesWithPagesInMRI.json

    r33805 r33813  
    99    [10.451526,51.165691],
    1010    [9.501785,56.26392],
     11    [-3.435973,55.378051],
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    12     [-3.435973,55.378051],
     13    [31.16558,48.379433],
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    14     [31.16558,48.379433],
    1515    [-3.74922,40.463667],
    1616    [103.819836,1.352083],
    17     [-102.552784,23.634501],
     17    [57.0,-70.0],
     18    [21.824312,39.074208],
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    1920    [138.252924,36.204824],
    20     [18.643501,60.128161],
    21     [21.824312,39.074208],
    22     [57.0,-70.0],
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     22    [-102.552784,23.634501],
     23    [24.96676,45.943161]
    2424]}
  • other-projects/maori-lang-detection/mongodb-data/multipoint_tentativeNonProductSites.json

    r33806 r33813  
    22[
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    54    [174.885971,-40.900557],
     5    [133.775136,-25.274398],
     6    [10.451526,51.165691],
    67    [2.213749,46.227638],
    7     [10.451526,51.165691],
    88    [5.291266,52.132633],
    9     [133.775136,-25.274398],
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    17     [8.227512,46.818188],
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    1917    [34.851612,31.046051],
    20     [57.0,-70.0],
    21     [114.109497,22.396428],
     18    [8.227512,46.818188],
     19    [25.48583,42.733883],
     20    [103.819836,1.352083],
     21    [-102.552784,23.634501],
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    23     [-8.24389,53.41291],
    24     [31.16558,48.379433],
    25     [18.643501,60.128161],
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    2728    [105.318756,61.52401],
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    29     [25.48583,42.733883],
    30     [25.748151,61.92411],
    31     [103.819836,1.352083],
    32     [35.243322,38.963745],
    33     [-102.552784,23.634501],
    34     [53.688046,32.427908]
     29    [57.0,-70.0]
    3530]}
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