Content translation/Machine Translation/Yandex/ru

Начиная с 4-ого ноября 2015 года, система мишинного перевода разработанная Yandex стала доступной для пользователей Перевода содержания. Вследствии популярности среди русскоязычных пользователей Википедии, включение Яндекс переводчика в список сервисов машинного перевода было сделано на основе запросов пользователей. Изначально этот сервис был представлен, как инструмент для перевода статей Википедии с английского языка на русский. На данный момент сервис включает в себя поддержку всех доступных языков, предусмотренных Яндекс.

Яндекс переводчик разработан Яндекс - российской компанией в отрасли информационных технологий. Начиная с конца 2014 года, команда Фонда Викимедии и команда Яндекс объединились, чтобы разработать соглашение, которое позволит использовать Яндекс переводчик, не нарушая при этом политику Викимедии на присвоение прав, конфиденциальность данных пользователей, а также на реперезентацию бренда. Вы можете ознакомиться с деталями соглашения ниже. Мы будем рады услышать ваши вопросы, которые могут возникнуть при использовании данного сервиса.

Ключевые особенности

 * No personal information is sent to Yandex. The MT system will be accessed via a publicly available API using a key. Article content (freely licensed) is sent to Yandex servers from Wikimedia Foundation servers. No direct communication is happening between the user and external services and no personal information (IP, username) is sent to Yandex servers. The client contacting Yandex servers is open source and you can check it here. No part of Yandex's service or code will be part of Wikimedia infrastructure or Content Translation codebase


 * Information is returned from Yandex under a free license. When Yandex service is used, they provide a translated version of Wikipedia content under a free license. Users can modify it and publish it as part of Wikipedia without conflicts with existing policies. The resulting content translated by Yandex and the user modifications will be available under the same license that is used for the rest of the articles in Wikipedia.


 * Benefits the wider open source translation community. Translations obtained from Yandex and user modifications will be publicly available. The post-edited translations are of special interest for the translation research community who can use this resource to create new translation services to support languages for which open source machine translation is not available yet. This will help developers create and improve machine translation systems.


 * Users can disable it. Automatic translation is an optional tool in Content Translation. Users have an option to disable it if they don't find it useful for some reason. Although many users from the Russian community requested this service, each individual user eventually decides whether they would like to use it or not.

Yandex's obligations

 * To license their Yandex.Translate API key for free to the Wikimedia Foundation to allow volunteers on Wikimedia sites to translate articles
 * To allow volunteers to translate up to ten million characters per day (much more than their publicly available option)
 * To give Wikimedia statistical data on the quantity of characters in the requests sent

Wikimedia Foundation's obligations

 * To provide the volunteer-edited versions of the text translated by the translation tool so that Yandex can improve their tool
 * No personal data of translators will be shared.
 * Currently, just the original content to translate, its language, and translation target language are sent in the request to Yandex.
 * The translations published by translators, with or without the help of machine translation services, will be provided in the form of parallel corpora by the Content Translation APIs. These APIs will be developed incrementally and results will be freely available for everyone, not just Yandex.

Important notes

 * All content will remain licensed under CC BY-SA 3.0
 * Yandex is not requiring any "branding" on Wikimedia Sites outside of listing Yandex.Translate as a translation tool option in the translation interface drop-down menu
 * There is no exchange of personal information of volunteers
 * The agreement is limited to 1 year, at which time we can reevaluate our needs
 * We are free to terminate the agreement for any reason, at any time (with 30 days notice)
 * Agreement is governed by US law

Questions about this service
We have addressed some immediate questions about Yandex in this section. This is also available in the Content Translation FAQ page.

What languages are being handled by Yandex? Are there plans to add more?
Yandex is available at present for more than 70 languages. As Yandex’s language coverage expands we will consider enabling them for Content Translation. Please note: Yandex machine translation will not be available when creating pages into English.

How is using Yandex different than using any other machine translation system?
As a user of Content Translation you will not feel any difference on the translation interface as the machine translation system of Yandex will display the translated content in the same way Apertium currently does for the supported 45 language pairs.

How is the machine translation being done if I choose Yandex?
Yandex provides a free for use API key that allows websites and other services to use their translation system. Content Translation also uses a unique API key to access this service on Yandex's server. When a user starts translating an article, the HTML content of each section of the source article is sent to the Yandex server and a translated version is obtained and displayed on the respective translation column of Content Translation. Links and references are adapted as usual and users can modify the content as required.

This process continues for all the sections of the article being translated. For better performance, the translations for consecutive sections are pre-fetched. The user can save the unpublished translation (to work on it again at a later time) or publish the article in the usual manner. The article is published on Wikipedia like any other normal article with appropriate attribution and licenses.

You can view a diagram of the process.

Yandex is not based on open source software. Why are we using it?
Content Translation evolved from a long-standing need to bridge the gap in the amount of content between Wikipedias in different languages. Like all other software used on Wikimedia sites, Content Translation is also open source. In this particular case as well, we are using an open source client to interact with the external service and import freely licensed content in order to help users expand our free knowledge.

To use Yandex's machine translation system we are not adding any proprietary software in the Content Translation code, or on the Wikimedia websites and servers. The service is free of charge and available for everyone.

Only the freely available Wikipedia article content (in segments) is sent to the Yandex service and the obtained translated content is freely usable on Wikipedia pages. The translated content can be modified by users and this data is also available publicly under a free license through the Content Translation API. This is a valuable resource made available for the community to develop open source translation services for those languages where they don't exist yet.

After studying the implications carefully, we found the fact that the content was stored previously in a closed source service does not limit the freedom of our knowledge or our software in the present or the future. We have taken special care to make sure that the content provided is freely licensed to make sure it complies with Wikipedia policies. This includes a long process for legal and technical evaluation and compliance. The summary of the terms of use is also available.

From user feedback we have seen that machine translation support is really helpful for users and we want to support all languages in the best way. Guided by the principles of Wikimedia Foundation's resolution to support free and open source software, we will prioritise the integration of open source services whenever they are available for a language. Apertium has been a critical part of Content Translation since its inception, but currently it only provides machine translations for 45 of the numerous possible language combination that Wikipedia can support.

Should I be worried about my personal information when using Yandex?
Irrespective of the service being used, you can be sure that only Wikipedia content from existing articles is sent and only freely licensed content will be added back to the translation. No personal information is sent and communication with those services happen at the server side, so they are isolated from the user device. Please refer to this diagram for more details.

What if Yandex is the only machine translation tool available and I don't want to use it?
Machine Translation is an optional feature in Content Translation that you can easily disable at will. If more machine translation systems are added for your languages, you can choose to enable MT again and select the MT service of your choice.

Will the content translated by Yandex be free for use in Wikipedia?
Yes. The content received from Yandex is otherwise freely available on the Yandex web translation platform. Content Translation receives it via an API key to make it seamlessly available on the translation interface. This content can be modified by the users (if necessary) and used in Wikipedia articles under free licenses.

Can this content be used for improving machine translation systems in general?
Yes. Translations made in Content Translation are saved in our database. This information will be made publicly available for anyone to use as translation examples to improve their translation services (from University research groups, open source projects to commercial companies, anyone!). The content can be accessed via the Content Translation API. Please note, only information related to translated text is publicly available. This includes – source and translated text, source and target language information and an identifier for the segment of text.