Help:Content translation/Translating/Initial machine translation/ko

번역에 새 단락을 추가할 때 처음부터 시작하거나 자동 번역을 시작점으로 사용할 수 있습니다. 가능한 경우 기계 번역이 기본적으로 초기 번역으로 사용됩니다. 다양한 옵션, 사용 가능 여부에 대한 세부 정보 및 기계 번역 사용 시 고려 사항이 아래에 설명되어 있습니다.

초기 번역 옵션
도구 열의 "초기 번역" 옵션을 사용하면 각 단락의 시작 지점으로 사용할 초기 콘텐츠를 결정할 수 있습니다. 사용 가능한 옵션은 다음과 같습니다.


 * "기계 번역 서비스"를 사용하세요.이렇게 하면 원래 단락의 자동 번역 버전으로 시작할 수 있습니다. 이러한 옵션의 수와 이름은 다양합니다. 이러한 서비스에 대해 지원되는 언어에 따라 "Apertium 사용"또는 "Yandex 사용"과 같은 옵션을 사용할 수 있습니다 (자세한 내용은 다음 섹션 참조).
 * 원본 콘텐츠 복사 원본 문단이 번역에 복사됩니다. 콘텐츠는 원래 언어로 유지되지만 일부 요소는 대상 위키에 맞게 조정됩니다. 예를 들어, 링크는 대상 언어로 된 해당 기사를 가리키고 템플릿은 해당 기사로 변환됩니다. 번역가는 여전히 내용을 완전히 다시 작성해야 하지만 조정된 요소는 재사용하기가 더 쉬울 수 있습니다.
 * 빈 문단으로 시작하세요. 빈 문단으로 시작하는 것은 대체 콘텐츠를 입력하는 것보다 더 많은 작업이 필요한 경우에 유용할 수 있습니다.

각 단락이 서로 다른 종류의 콘텐츠에서 가장 잘 작동할 수 있으므로 각 단락에서 독립적으로 서로 다른 접근 방식간에 빠르게 전환할 수 있습니다. 다른 접근 방식간에 전환하면 단락에서 변경한 내용이 유지됩니다. 이런 식으로 원래 접근 방식으로 돌아가기로 결정한 경우 변경 사항을 잃을 염려없이 원본 편집을 시작한 경우에도 다른 접근 방식을 시도 할 수 있습니다. Two additional options are relevant in this context:

It allows to restore the initial content by discarding the changes you made. It allows to set the default approach for the next paragraphs that are added to the translation. This can be very convenient if you found that a particular translation service works generally better than the default one.
 * The reset translation option is available when you made modifications on the initial content provided.
 * The mark as default option is available when you select an approach for a paragraph that is not the default.

Machine translation availability
Content translation integrates several translation services, and each service support a different set of languages. The services supported are listed below with a link to the list of languages they support:


 * Apertium ( languages supported )
 * OpusMT ( languages supported )
 * LingoCloud ( languages supported )
 * Matxin ( languages supported )
 * Google Translate ( languages supported )
 * Yandex ( languages supported )
 * Youdao ( languages supported )

The list of languages above point to the configuration code to make sure that the information is in sync with the way the tool currently works. The list show the language code for the source language at the initial indentation level and the codes of all the supported target languages below it.

Language enablement is done in a gradual way based on the observed results and the community feedback. It is possible that machine translation has not been enabled yet, even if they are supported by the underlying services.

Improving existing translation services
When you publish a translation with Content Translation you are already helping translation services to improve. All the corrections you make to the initial machine translations are exposed through an API and data dumps and can be potentially used to improve existing services. In addition to that, some of the translation services listed above provide specific ways you can contribute to their projects.

OpusMT
OpusMT is an open source neural machine translation system that is trained with multilingual documents freely licensed available online. This open corpus is used to train the translation system, and expanding the corpus will lead to better translations. The contents generated by using Content Translation are integrated automatically in the corpus, but you can contribute to expand the corpus further:

You can upload translated documents in various formats including translated webpages to be incorporated to the corpus.
 * Propose new sources to be integrated in the open corpus. You can contact Jörg Tiedemann to propose a new data source to expand the corpus.
 * Submit documents directly (still a preliminary prototype).

OpusMT is based on MarianNMT which is also an open source project. People with technical knowledge and interested in machine learning can also contribute to improve it.

Apertium
Apertium is an open source rule-based translation system. You can contribute to the project by encoding the language rules of your language. This process requires both linguistic and advanced technical knowledge, but you can get support from the Apertium team to expand the translation support for a new language pair.

Google Translate
Google Translate is not an open source project, but there are still ways for users to contribute back:


 * Join the Google Translate Community to provide translations that help train their system.
 * Report bugs when the translation system shows unexpected behavior when dealing with certain elements such as spacing or end of sentence marks (view full list).

Expanding the language support with new translation services
Content translation has been designed as an extensible platform. So it is possible to develop new clients to integrate additional translation services. Some considerations about the way translation services are integrated:

No personal information is shared with the translation services.
 * Machine translations and the user corrections made are publicly as part of the data on published translations, which can provide a useful resource to create or improve your translation service.
 * External services integrated only receive publicly available wiki content, and return a translated version of such content that is compatible with the licenses used in the wiki.

Feedback on the support provided for each language is very useful. Please, let us know if you are missing support for some language, or whether higher quality options are available for it. You can provide such feedback on the project talk page or in this ticket.

Considerations on machine translation
Machine translation is far from perfect when intended as a final outcome. However, many users find it very useful as a starting point. Please make sure to review the content from these different perspectives:


 * Make sure the original meaning is preserved.
 * Check that there is no information missing, especially for elements such as links, references and templates that include information that is not always visible on the surface.
 * Read the translated content to make sure it reads natural as an independent page.

Limitations with complex elements
In some cases the content may not appear in the translation as expected:

This means that formatting and rich content elements such as links and citations from the original article are lost in the translation, and Content translation needs to guess where those belong in the translated text. Re-adding those elements is not always perfect and some elements may be in the wrong position or applied to the wrong part of the text. Make sure to review the contents inside those elements to make sure there is no important information missing.
 * Some of the services supported only work with plain text.
 * Complex elements such as references or templates may use a different structure in each language, which makes it hard to transfer the content from one language into the other.

Enforcing the review of machine translation
Several automatic mechanisms exist to enforce the review of the initial contents. In this way, the tool makes sure that the initial automatic translation is reviewed enough before the contents get published.