Linagora/Work@Home Landing page — Russian @ Hosted Weblate

Translation status

124	Strings	100%	Browse Translate
1,764	Words	100%
11,551	Characters	100%

Strings status

Strings Words Characters
124 1,764 11,551	All strings	Browse Translate Zen
124 1,764 11,551	Translated strings	Browse Translate Zen
8 40 252	Translated strings with dismissed checks	Browse Translate Zen
124 1,764 11,551	Strings without a label	Browse Translate Zen

Overview

Project website	twake.app
Instructions for translators	Pour démarrer un opération de traduction, commencez d'abord par prendre contact avec l'équipe ici: https://community.twake.app/ ou ici: https://github.com/TwakeApp/Twake .
Project maintainers	BenoitTallandier hoangdat chibenwa dab246 guimard xguimard kferjani Facyla mghanmi nqhhdev
Translation license	GNU Affero General Public License v3.0 or later
Translation process	Translations can be made directly. Translation suggestions can be made. Any authenticated user can contribute. The translation uses monolingual files. The translation base language is editable.
Source code repository	`git@gitlab.com:linagora_private/software/work-at-home/landing-page.git`
Repository branch	main
Last remote commit	#20: Add more team members `9dec615` Huy TA QUOC authored 2 years ago
Last commit in Weblate	Translated using Weblate (Irish) `53f6fd0` aindriu80 authored 2 months ago
Weblate repository	`https://hosted.weblate.org/git/linagora/work-at-home-landing-page/`
File mask	`public/locales/*/common.json`
Monolingual base language file	`public/locales/en/common.json`
Translation file	Download `public/locales/ru/common.json`
Last change	July 22, 2022, 1:53 p.m.
Last change made by	Taisiya Prudentova
Language	Russian
Language code	ru
Text direction	Left to right
Number of speakers	193,498,207
Number of plurals	3
Plural type	One/few/many
Plurals	One	1, 21, 31, 41, 51, 61, 71, 81, 91, 101, …
	Few	2, 3, 4, 22, 23, 24, 32, 33, 34, 42, …
	Many	0, 5, 6, 7, 8, 9, 10, 11, 12, 13, …
Plural formula	`n%10==1 && n%100!=11 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 \|\| n%100>=20) ? 1 : 2`

yesterday

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		124		1,764		11,551
Translated	100%	124	100%	1,764	100%	11,551
Needs editing	0%	0	0%	0	0%	0
Read-only	0%	0	0%	0	0%	0
Failing checks	0%	0	0%	0	0%	0
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	0%	0	0%	0	0%	0

Last 12 months Previous

Activity in last 12 months


Dec	Jan	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov

Quick numbers

1,764

Hosted words

124

Hosted strings

100%

Translated

Contributors

and previous 30 days

Trends of last 30 days

—

Hosted words

+100%

—

Hosted strings

+100%

—

Translated

+100%

—

Contributors

—

Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Zied Sellami joined LINAGORA in September 2016, after obtaining a Ph.D. in Artificial Intelligence in 2011 from the University of Toulouse and holding various post-doc and industry positions. His research focuses on text-based knowledge engineering, which incorporates elements from the domains of ontology, natural language processing and machine learning. Drawing on this expertise, Zied supervises and participates in the development of innovative functionalities that rely on text processing, including Smart Reply, an automatic email answering solution, and data augmentation for the LinTO platform, which facilitates the creation of new commands for LinTO based on a small starting set. Zied is currently participating in a regional project called Multibot which aims to develop a voice and text chatbot solution for public employees and drivers who wish to report problems on public roads. Russian 977 characters edited Current translation Translated Зиед Селлами присоединился к команде LINAGORA в сентябре 2016 года. В 2011 года он получил степень доктора в области искусственного интеллекта в Университете Тулузы, а после занимал различные должности в сфере промышленности. Его исследования сосредоточены на текстовой инженерии знаний, которая включает в себя элементы из областей онтологии, обработки естественного языка и машинного обучения. Опираясь на этот опыт, Зиед руководит и участвует в разработке инновационных функций, основанных на обработке текста, включая Smart Reply, решение для автоматического ответа на сообщения электронной почты, и расширение данных для платформы LinTO, которое облегчает создание новых команд для LinTO на основе небольшого начального набора. В настоящее время Зиед участвует в региональном проекте под названием Multibot, целью которого является разработка голосового и текстового чат-бота для государственных служащих и водителей, желающих сообщить о проблемах на общественных дорогах. 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Yazid Benazzouz received his Ph.D. in 2011 in computer science from the National Graduate Engineering School of Saint-Etienne (EMSE). Since December 2015, he has held the position of research engineer at LINAGORA and has become a regular contributor to the C2NET European project. Previously, he was involved in several European projects such as OUTSMART, MIDAS, BUTLER and CLOUT. He has also participated in the french project BlueSky. Russian 419 characters edited Current translation Translated Язид Беназзуз получил степень доктора в области компьютерных наук в 2011 году в Национальной высшей инженерной школе Сент-Этьена (EMSE). С декабря 2015 года он занимает должность инженера-исследователя в LINAGORA и стал постоянным участником европейского проекта C2NET. Ранее он участвовал в нескольких европейских проектах, таких как OUTSMART, MIDAS, BUTLER и CLOUT. Он также участвовал во французском проекте BlueSky. 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Twake Lead Developer Russian 25 characters edited Current translation Translated Ведущий разработчик Twake 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Sarah Zribi is the R&D team’s Innovation Project Manager, with a Ph.D in Computer Science from INSA Toulouse and Ecole des Mines d’Albi. With 10 years experience, she is familiar with European and French IT Research projects. Sarah’s expertise lies in the fields of Artificial Intelligence, Cloud Computing, SOA, SOA Governance, BPM, Modelling (UML, SoaML, BPMN, etc.), MDA and Model Transformation. She is currently managing the LinTO Project. Russian 535 characters edited Current translation Translated Сара Зриби - менеджер инновационных проектов команды R&D, доктор в области теории вычислительных машин, окончившая INSA Toulouse и Ecole des Mines d'Albi. Благодаря десятилетнему опыту работы, она знакома с различными европейскими и французскими исследовательскими проектами в области информационных технологий. Сара специализируется в области искусственного интеллекта, облачных вычислений, SOA, управления SOA, BPM, моделирования (UML, SoaML, BPMN и т.д.), MDA и трансформации моделей. В настоящее время она руководит проектом LinTO. 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Founder of Twake messenger. Serial innovator and creator in reg-tech, computer vision, gaming, music, vfx, video. Software Architect Engineer from Telecom Nancy, France. Russian 200 characters edited Current translation Translated Основатель мессенджера Twake. Инноватор и создатель в области reg-tech, машинного распознавания образов, игр, музыки, vfx, видео. Инженер-архитектор программного обеспечения из Telecom Nancy, Франция. 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English R&D Director Russian 42 characters edited Current translation Translated Руководитель по исследованиям и разработке 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Project Manager Russian 20 characters edited Current translation Translated Менеджер по проектам 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Product Manager Russian 20 characters edited Current translation Translated Менеджер по продукту 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English NLP Russian 29 characters edited Current translation Translated Обработка естественного языка 2 years ago
Taisiya_Prudentova Translation added Linagora Work@Home Landing page Russian	English Kate Thompson is pursuing a doctoral degree with ANITI, LAAS and in collaboration with LINAGORA as a part of the <a class="primary" href="https://anr.fr/fr/plan-de-relance/" target="_blank" rel="noopener noreferrer">France Relance initiative</a>. Her research aims to integrate learning in the fields of Human Robot Interaction and Discourse Semantics in order to develop more sophisticated conversational agents to be used in various industrial contexts. She came to LINAGORA as a research engineer before beginning her doctoral work. Before that she worked as an engineer on the <a class="primary" href="https://www.irit.fr/STAC/index.html" target="_blank" rel="noopener noreferrer">STAC</a> project. Russian 704 characters edited Current translation Translated Кейт Томпсон получает докторскую степень в институте ANITI, LAAS и в сотрудничестве с LINAGORA в рамках инициативы <a class="primary" href="https://anr.fr/fr/plan-de-relance/" target="_blank" rel="noopener noreferrer">France Relance</a>. Ее исследование направлено на интеграцию обучения в области человеко-машинного взаимодействия и семантики дискурса с целью разработки более сложных разговорных агентов для использования в различных проектах. Кейт пришла в LINAGORA в качестве инженера-исследователя до начала работы над докторской диссертацией. До этого она работала инженером в проекте <a class="primary" href="https://www.irit.fr/STAC/index.html" target="_blank" rel="noopener noreferrer">STAC</a>. 2 years ago

Browse all translation changes

Quick downloads

124	File in original format as translated in the repository	i18next JSON file v3
124	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

Search

Advanced query builder

Query examples

Review strings changed by other users	`changed:>="1 month ago" AND NOT changed_by:anonymous`	Add
Translated strings	`state:>=translated`	Add
Strings with comments	`has:comment`	Add
Strings with any failing checks	`has:check`	Add
Strings with suggestions from others	`has:suggestion AND NOT suggestion_author:anonymous`	Add
Approved strings with suggestions	`state:approved AND has:suggestion`	Add
All untranslated strings added the past month	`added:>="1 month ago" AND state:<=needs-editing`	Add
Strings changed in the past two weeks	`changed:>="2 weeks ago"`	Add

Shortcut	Action
`?`	Open available keyboard shortcuts.
`Alt` + `Home`	Navigate to the first translation in the current search.
`Alt` + `End`	Navigate to the last translation in the current search.
`Alt` + `PageUp` or `Ctrl` + `↑` or `Alt` + `↑` or `Cmd` + `↑` or	Navigate to the last translation in the current search.
`Alt` + `PageDown` or `Ctrl` + `↓` or `Alt` + `↓` or `Cmd` + `↓` or	Navigate to the next translation in the current search.
`Ctrl` + `Enter` or `Cmd` + `Enter`	Submit current form; this works the same as pressing Save and continue while editing translation.
`Ctrl` + `Shift` + `Enter` or `Cmd` + `Shift` +`Enter`	Unmark translation as Needing edit and submit it.
`Alt` + `Enter` or `Option` + `Enter`	Submit the string as a suggestion; this works the same as pressing Suggest while editing translation.
`Ctrl` + `E` or `Cmd` + `E`	Focus on translation editor.
`Ctrl` + `U` or `Cmd` + `U`	Focus on comment editor.
`Ctrl` + `M` or `Cmd` + `M`	Shows Automatic suggestions tab.
`Ctrl` + `1` to `Ctrl` + `9` or `Cmd` + `1` to `Cmd` + `9`	Copies placeable of a given number from source string.
`Ctrl` + `M` followed by `1` to `9` or `Cmd` + `M` followed by `1` to `9`	Copy the machine translation of a given number to current translation.
`Ctrl` + `I` followed by `1` to `9` or `Cmd` + `I` followed by `1` to `9`	Ignore one item in the list of failing checks.
`Ctrl` + `J` or `Cmd` + `J`	Shows the Nearby strings tab.
`Ctrl` + `S` or `Cmd` + `S`	Focus on search field.
`Ctrl` + `O` or `Cmd` + `O`	Copy the source string.
`Ctrl` + `Y` or `Cmd` + `Y`	Toggle the Needs editing checkbox.
`→`	Browse the next translation string.
`←`	Browse the previous translation string.

Translation status

Strings status

Overview

String statistics

Activity in last 12 months

Quick numbers

Trends of last 30 days

Quick downloads

Customize download

Search