mirror of https://github.com/searxng/searxng.git
[doc] improved docs of implementations for automatic speech recognition
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
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@ -641,38 +641,56 @@ def _get_fasttext_model() -> "fasttext.FastText._FastText":
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def detect_language(text: str, threshold: float = 0.3, only_search_languages: bool = False) -> Optional[str]:
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"""Detect the language of the text parameter
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"""Detect the language of the ``text`` parameter.
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Args:
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* text (str): the string whose language is to be detected.
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* threshold (float): threshold filters the returned labels by a threshold on probability.
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A choice of 0.3 will return labels with at least 0.3 probability.
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* only_search_languages (bool): if True, returns only supported SearXNG search languages.
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see :py:obj:`searx.languages`
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:param str text: The string whose language is to be detected.
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:param float threshold: Threshold filters the returned labels by a threshold
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on probability. A choice of 0.3 will return labels with at least 0.3
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probability.
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Raises:
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* ValueError: if text is not a string
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:param bool only_search_languages: If ``True``, returns only supported
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SearXNG search languages. see :py:obj:`searx.languages`
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Returns:
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* result (str, None): the detected language code or None. See below.
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:rtype: str, None
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:returns:
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The detected language code or ``None``. See below.
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The language detection is done by using `a fork`_ of the fastText_ library (`python
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fasttext`_). fastText_ distributes the `language identification model`_, for
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reference:
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:raises ValueError: If ``text`` is not a string.
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The language detection is done by using `a fork`_ of the fastText_ library
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(`python fasttext`_). fastText_ distributes the `language identification
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model`_, for reference:
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- `FastText.zip: Compressing text classification models`_
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- `Bag of Tricks for Efficient Text Classification`_
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The `language identification model`_ support the language codes (ISO-639-3)::
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af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs bxr
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ca cbk ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es et eu fa
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fi fr frr fy ga gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia id ie ilo io
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is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li lmo lo lrc lt lv
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mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah nap nds ne new nl nn
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no oc or os pa pam pfl pl pms pnb ps pt qu rm ro ru rue sa sah sc scn sco sd
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sh si sk sl so sq sr su sv sw ta te tg th tk tl tr tt tyv ug uk ur uz vec vep
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vi vls vo wa war wuu xal xmf yi yo yue zh
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The `language identification model`_ support the language codes
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(ISO-639-3)::
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af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs
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bxr ca cbk ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es
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et eu fa fi fr frr fy ga gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia
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id ie ilo io is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li
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lmo lo lrc lt lv mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah
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nap nds ne new nl nn no oc or os pa pam pfl pl pms pnb ps pt qu rm ro ru
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rue sa sah sc scn sco sd sh si sk sl so sq sr su sv sw ta te tg th tk tl
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tr tt tyv ug uk ur uz vec vep vi vls vo wa war wuu xal xmf yi yo yue zh
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By using ``only_search_languages=True`` the `language identification model`_
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is harmonized with the SearXNG's language (locale) model. General
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conditions of SearXNG's locale model are:
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a. SearXNG's locale of a query is passed to the
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:py:obj:`searx.locales.get_engine_locale` to get a language and/or region
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code that is used by an engine.
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b. Most of SearXNG's engines do not support all the languages from `language
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identification model`_ and there is also a discrepancy in the ISO-639-3
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(fastext) and ISO-639-2 (SearXNG)handling. Further more, in SearXNG the
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locales like ``zh-TH`` (``zh-CN``) are mapped to ``zh_Hant``
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(``zh_Hans``) while the `language identification model`_ reduce both to
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``zh``.
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.. _a fork: https://github.com/searxng/fasttext-predict
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.. _fastText: https://fasttext.cc/
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@ -680,6 +698,7 @@ def detect_language(text: str, threshold: float = 0.3, only_search_languages: bo
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.. _language identification model: https://fasttext.cc/docs/en/language-identification.html
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.. _Bag of Tricks for Efficient Text Classification: https://arxiv.org/abs/1607.01759
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.. _`FastText.zip: Compressing text classification models`: https://arxiv.org/abs/1612.03651
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"""
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if not isinstance(text, str):
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raise ValueError('text must a str')
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