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Learning patterns/Developing Apertium MT for your language in Content Translation

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A learning pattern forproject management
Developing Apertium MT for your language in Content Translation
problemCreating a machine translator for your language
solutionMaking an Apertium language pair with the help of the Apertium community
creator• Unhammer
endorse
created on12:23, 16 March 2016 (UTC)
status:DRAFT

What problem does this solve?

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Content Translation is a great tool which is made even better for the language pairs where there is machine translation support – if the languages you translate between are not included, and you're a bit technically minded, you can contribute to create a new Apertium machine translator for your language pair!

Screenshot of Content Translation Bokmål→Nynorsk

What is the solution?

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  1. Read the Contributing guide, and decide how you'd like to contribute
  2. Join the IRC channel and ask about starting a new language pair (or getting a beta pair up to release quality)
  3. Follow the New Language Pair HOWTO under the guidance of a mentor
  4. Talk to other Wikimedia users from the relevant language communities to get more people involved

Things to consider

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  • There are many ways to help getting support for your language pair
    • Simply voicing that you want it might make others motivated to contribute
    • You can help find and document resources (language data like word lists, corpora, dictionaries and grammars, or simply record mistakes in an existing beta translator)
    • And finally, you can edit the Apertium language data itself and ask for SVN commit access to Apertium

The Apertium machine translation platform is especially geared towards getting high-quality translations out of closely-related language pairs, where there may not be enough parallel data available to create high-quality statistical systems. Apertium developers thus tend to get more excited about translation between closely-related (and typically non-English) languages, which is where Apertium really shines.

When to use

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When Content Translation does not support your favoured translation directions, or the current translator there makes too many mistakes.

This pattern was created as part of the IEG project "Pan-Scandinavian Machine-assiste Content Translation".[1]

Endorsements

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See also

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References

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  1. ↑ https://meta.wikimedia.org/wiki/Grants:IEG/Pan-Scandinavian_Machine-assisted_Content_Translation/Midpoint
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