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Fixes #182 #196

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merged 2 commits into from
Oct 26, 2023
Merged

Fixes #182 #196

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fef4dee
Fixes #182
Enkidu93 Oct 25, 2023
a9ae31a
Merge branch 'main' into clarify_language_code_docs
Enkidu93 Oct 26, 2023
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18 changes: 12 additions & 6 deletions src/Serval.Client/Client.g.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -807,7 +807,10 @@ public partial interface ITranslationEnginesClient
/// <br/>Typical endpoints: translate, get-word-graph, train-segment
/// <br/>### Nmt
/// <br/>The Neural Machine Translation engine is primarily used for pretranslations. It is
/// <br/>fine tuned from the NLLB-200 from Meta and inherits the 200 language codes. Valid IETF language tags will be converted to an [NLLB-200 code](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200), and NLLB will be used as-is.
/// <br/>fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).
/// <br/>If you use a language among NLLB's supported languages,
/// <br/>Serval will utilize everything the NLLB-200 model already knows about that language when translating.
/// <br/>If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
/// <br/>Typical endpoints: pretranslate
/// <br/>### Echo
/// <br/>The Echo engine has full coverage of all Nmt and SmtTransfer endpoints. Endpoints like create and build
Expand Down Expand Up @@ -907,9 +910,9 @@ public partial interface ITranslationEnginesClient
/// ## Parameters
/// <br/>* **name**: A name to help identify and distinguish the corpus from other corpora
/// <br/> * The name does not have to be unique since the corpus is uniquely identified by an auto-generated id
/// <br/>* **sourceLanguage**: The source language code
/// <br/>* **sourceLanguage**: The source language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// <br/> * Normally, this is the same as the engine sourceLanguage. This may change for future engines as a means of transfer learning.
/// <br/>* **targetLanguage**: The target language code
/// <br/>* **targetLanguage**: The target language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// <br/>* **SourceFiles**: The source files associated with the corpus
/// <br/> * **FileId**: The unique id referencing the uploaded file
/// <br/> * **TextId**: The client-defined name to associate source and target files.
Expand Down Expand Up @@ -1209,7 +1212,10 @@ public string BaseUrl
/// <br/>Typical endpoints: translate, get-word-graph, train-segment
/// <br/>### Nmt
/// <br/>The Neural Machine Translation engine is primarily used for pretranslations. It is
/// <br/>fine tuned from the NLLB-200 from Meta and inherits the 200 language codes. Valid IETF language tags will be converted to an [NLLB-200 code](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200), and NLLB will be used as-is.
/// <br/>fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).
/// <br/>If you use a language among NLLB's supported languages,
/// <br/>Serval will utilize everything the NLLB-200 model already knows about that language when translating.
/// <br/>If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
/// <br/>Typical endpoints: pretranslate
/// <br/>### Echo
/// <br/>The Echo engine has full coverage of all Nmt and SmtTransfer endpoints. Endpoints like create and build
Expand Down Expand Up @@ -2127,9 +2133,9 @@ public string BaseUrl
/// ## Parameters
/// <br/>* **name**: A name to help identify and distinguish the corpus from other corpora
/// <br/> * The name does not have to be unique since the corpus is uniquely identified by an auto-generated id
/// <br/>* **sourceLanguage**: The source language code
/// <br/>* **sourceLanguage**: The source language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// <br/> * Normally, this is the same as the engine sourceLanguage. This may change for future engines as a means of transfer learning.
/// <br/>* **targetLanguage**: The target language code
/// <br/>* **targetLanguage**: The target language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// <br/>* **SourceFiles**: The source files associated with the corpus
/// <br/> * **FileId**: The unique id referencing the uploaded file
/// <br/> * **TextId**: The client-defined name to associate source and target files.
Expand Down
9 changes: 6 additions & 3 deletions src/Serval.Translation/Controllers/TranslationEnginesController.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,10 @@ CancellationToken cancellationToken
/// Typical endpoints: translate, get-word-graph, train-segment
/// ### Nmt
/// The Neural Machine Translation engine is primarily used for pretranslations. It is
/// fine tuned from the NLLB-200 from Meta and inherits the 200 language codes. Valid IETF language tags will be converted to an [NLLB-200 code](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200), and NLLB will be used as-is.
/// fine-tuned from Meta's NLLB-200. Valid IETF language tags provided to Serval will be converted to [NLLB-200 codes](https://github.com/facebookresearch/flores/tree/main/flores200#languages-in-flores-200).
/// If you use a language among NLLB's supported languages,
/// Serval will utilize everything the NLLB-200 model already knows about that language when translating.
/// If the language you are working with is not among NLLB's supported languages, the language code will have no effect.
/// Typical endpoints: pretranslate
/// ### Echo
/// The Echo engine has full coverage of all Nmt and SmtTransfer endpoints. Endpoints like create and build
Expand Down Expand Up @@ -394,9 +397,9 @@ CancellationToken cancellationToken
/// ## Parameters
/// * **name**: A name to help identify and distinguish the corpus from other corpora
/// * The name does not have to be unique since the corpus is uniquely identified by an auto-generated id
/// * **sourceLanguage**: The source language code
/// * **sourceLanguage**: The source language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// * Normally, this is the same as the engine sourceLanguage. This may change for future engines as a means of transfer learning.
/// * **targetLanguage**: The target language code
/// * **targetLanguage**: The target language code (See documentation on endpoint /translation/engines/ - "Create a new translation engine" for details on language codes).
/// * **SourceFiles**: The source files associated with the corpus
/// * **FileId**: The unique id referencing the uploaded file
/// * **TextId**: The client-defined name to associate source and target files.
Expand Down