Translate

You can get machine translation and translation quality scores from the /translate endpoint. This endpoint/class takes three parameters:

• text - The text to translate.
• source_lang - The ISO 639 source language code (e.g. ‘eng’ for English).
• target_lang - The ISO 639 target language code (e.g ‘fra’ for French).

Under the hood, the /translate endpoint simultaneously leverages multiple state-of-the-art LLM and machine translation models to perform translations. The translations from these models are scored and ranked using reference-free quality estimation models. This allows us to select the highest quality machine translation for the given source and target languages.

Supported Languages

Our translation API supports a wide range of languages, including but not limited to English, Hindi, French, Spanish, German, and more. Refer to the language codes to identify specific languages.

/translate

The /translate endpoint will return a JSON object response with two fields:

• Best translation - The translated text.
• Score - A score from -1.0 to 1.0 representing the translation quality. Higher the score better the quality.

Generate a translation

To generate a translation, you can use the following code examples. Depending on your preference or requirements, select the appropriate method for your application.

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import os
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import json
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import predictionguard as pg
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# Set your PREDICTIONGUARD access token as an environmental variable.
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os.environ["PREDICTIONGUARD_TOKEN"] = "<your access token>"
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# Translate the text.
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result = pg.Translate.create(
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    		text="The sky is blue",
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            source_lang="eng",
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            target_lang="fra"
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    )
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print(json.dumps(
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    result,
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    sort_keys=True,
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    indent=4,
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    separators=(',', ': ')
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))

The output will look something like:

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{
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  "response": {
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    "Best translation": "Le ciel est bleu",
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    "Score": 0.8694158792495728
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  }
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}