Strings Words Characters | |||
---|---|---|---|
24 13,067 542,691 |
|
All strings | Browse Translate Zen |
20 2,724 19,430 |
|
Translated strings | Browse Translate Zen |
20 2,724 19,430 |
|
Strings waiting for review | Browse Translate Zen |
4 10,343 523,261 |
|
Unfinished strings | Browse Translate Zen |
4 10,343 523,261 |
|
Untranslated strings | Browse Translate Zen |
4 10,343 523,261 |
|
Unfinished strings without suggestions | Browse Translate Zen |
2 8 76 |
|
Strings with any failing checks | Browse Translate Zen |
2 8 76 |
|
Translated strings with any failing checks | Browse Translate Zen |
4 1,231 8,700 |
|
Translated strings with dismissed checks | Browse Translate Zen |
2 8 76 |
|
Failing check: Reused translation | Browse Translate Zen |
Overview
Project website | github.com/worldbank/sdg-metadata | |
---|---|---|
Instructions for translators | This project is limited to Russian translation only, for now. More detailed instructions to come. |
|
Project maintainers | brockfanning | |
Translation license | MIT License | |
Translation process |
|
|
Source code repository |
https://github.com/worldbank/sdg-metadata
|
|
Repository branch | master | |
Last remote commit |
Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a
d3a3ca3e2bb
brockfanning authored yesterday |
|
Last commit in Weblate |
Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a
d3a3ca3e2bb
brockfanning authored yesterday |
|
Weblate repository |
https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
|
|
File mask | translations-metadata/*/3-b-3.yml |
|
Monolingual base language file | translations-metadata/en/3-b-3.yml |
|
Translation file |
Download
translations-metadata/fr/3-b-3.yml
|
|
Last change | May 12, 2022, 10:12 p.m. | |
Last change made by | Sylvie DeBlois | |
Language | French | |
Language code | fr | |
Text direction | Left to right | |
Number of speakers | 295,510,923 | |
Number of plurals | 2 | |
Plural type | One/other | |
Plurals | Singular | 0, 1 | Plural | 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, … |
Plural formula | n > 1 |
8 days ago
String statistics
Strings percent | Hosted strings | Words percent | Hosted words | Characters percent | Hosted characters | |
---|---|---|---|---|---|---|
Total | 24 | 13,067 | 542,691 | |||
Approved | 0% | 0 | 0% | 0 | 0% | 0 |
Waiting for review | 83% | 20 | 20% | 2,724 | 3% | 19,430 |
Translated | 83% | 20 | 20% | 2,724 | 3% | 19,430 |
Needs editing | 0% | 0 | 0% | 0 | 0% | 0 |
Read-only | 0% | 0 | 0% | 0 | 0% | 0 |
Failing checks | 8% | 2 | 1% | 8 | 1% | 76 |
Strings with suggestions | 0% | 0 | 0% | 0 | 0% | 0 |
Untranslated strings | 16% | 4 | 79% | 10,343 | 96% | 523,261 |
Quick numbers
and previous 30 days
Trends of last 30 days
—
Hosted words
+100%
—
Hosted strings
+100%
—
Translated
+83%
—
Contributors
—
deblsyl
Translation changed |
|
deblsyl
Translation added |
|
deblsyl
Translation added |
|
deblsyl
Translation added |
|
deblsyl
Translation changed |
|
deblsyl
Translation added |
|
deblsyl
Translation changed |
|
deblsyl
Translation added |
|
deblsyl
Translation changed |
|
deblsyl
Translation added |
|
24 | File in original format as translated in the repository | YAML file | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
24 | All strings, converted files enriched with comments; suitable for offline translation | Android String Resource | CSV | JSON | JSON nested structure file | gettext PO | iOS strings | TBX | TMX | XLIFF 1.1 with gettext extensions | XLIFF 1.1 | XLSX |
4 | Unfinished strings, converted files enriched with comments; suitable for offline translation | Android String Resource | CSV | JSON | JSON nested structure file | gettext PO | iOS strings | TBX | TMX | XLIFF 1.1 with gettext extensions | XLIFF 1.1 | XLSX |
<p>Data can be received from three data sources: SARA, HAI/WHO, and the EMP MedMon. These data collection methods demonstrate the following discrepancies:</p>
<ol>
<li>Sampling of the facilities to be surveyed,</li>
<li>Size of the sampling of the facilities to be surveyed, and</li>
<li>Questions asked at facility level to capture availability (i.e. SARA considers potentially available expired medicines as well).</li>
</ol>
<p>WHO will use any of these three data sources available for the year of calculation as a compromise between the limitations that these discrepancies pose to the proposed methodology and the need to overcome data availability issues in order to start reporting on this critical indicator. In the unlikely case that data is available through more than one data source for a specific country, WHO will rely on the source with a larger sample size and a higher percentage of medicines from the defined core list captured by the survey.</p>
<p>Les données peuvent être reçues de trois sources de données : SARA, HAI/OMS et EMP MedMon. Ces méthodes de collecte de données
illustrprésentent les divergences suivantes :</p><ol>
<li>
Ééchantillonnage des installations à inspecter</li><li>
Ttaille de l’échantillonnage des installations à étudier, et</li><li>
Qquestions posées au niveau de l’établissement pour saisir la disponibilité (c.-à-d.la LEPSARA tient également compte des médicaments périmés potentiellement disponibles). </li></ol>
<p>L’OMS utilisera l’une ou l’autre de ces trois sources de données disponibles pour l’année de calcul comme compromis entre les limites que ces écarts posent à la méthodologie proposée et la nécessité de surmonter les problèmes de disponibilité des données afin de commencer à rendre compte de cet indicateur critique. Dans le cas peu probable où les données sont disponibles via plus d’une source de données pour un pays spécifique, l’OMS s’appuiera sur la source avec un échantillon plus grand et un pourcentage plus élevé de médicaments de la liste de base définie
capturésaisie par l’enquête. </p>