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>
This commit is contained in:
parent
6748e8e2d5
commit
0b1444b61e
|
@ -641,38 +641,56 @@ def _get_fasttext_model() -> "fasttext.FastText._FastText":
|
||||||
|
|
||||||
|
|
||||||
def detect_language(text: str, threshold: float = 0.3, only_search_languages: bool = False) -> Optional[str]:
|
def detect_language(text: str, threshold: float = 0.3, only_search_languages: bool = False) -> Optional[str]:
|
||||||
"""Detect the language of the text parameter
|
"""Detect the language of the ``text`` parameter.
|
||||||
|
|
||||||
Args:
|
:param str text: The string whose language is to be detected.
|
||||||
* text (str): the string whose language is to be detected.
|
|
||||||
* threshold (float): threshold filters the returned labels by a threshold on probability.
|
|
||||||
A choice of 0.3 will return labels with at least 0.3 probability.
|
|
||||||
* only_search_languages (bool): if True, returns only supported SearXNG search languages.
|
|
||||||
see :py:obj:`searx.languages`
|
|
||||||
|
|
||||||
|
:param float threshold: Threshold filters the returned labels by a threshold
|
||||||
|
on probability. A choice of 0.3 will return labels with at least 0.3
|
||||||
|
probability.
|
||||||
|
|
||||||
Raises:
|
:param bool only_search_languages: If ``True``, returns only supported
|
||||||
* ValueError: if text is not a string
|
SearXNG search languages. see :py:obj:`searx.languages`
|
||||||
|
|
||||||
Returns:
|
:rtype: str, None
|
||||||
* result (str, None): the detected language code or None. See below.
|
:returns:
|
||||||
|
The detected language code or ``None``. See below.
|
||||||
|
|
||||||
The language detection is done by using `a fork`_ of the fastText_ library (`python
|
:raises ValueError: If ``text`` is not a string.
|
||||||
fasttext`_). fastText_ distributes the `language identification model`_, for
|
|
||||||
reference:
|
The language detection is done by using `a fork`_ of the fastText_ library
|
||||||
|
(`python fasttext`_). fastText_ distributes the `language identification
|
||||||
|
model`_, for reference:
|
||||||
|
|
||||||
- `FastText.zip: Compressing text classification models`_
|
- `FastText.zip: Compressing text classification models`_
|
||||||
- `Bag of Tricks for Efficient Text Classification`_
|
- `Bag of Tricks for Efficient Text Classification`_
|
||||||
|
|
||||||
The `language identification model`_ support the language codes (ISO-639-3)::
|
The `language identification model`_ support the language codes
|
||||||
af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs bxr
|
(ISO-639-3)::
|
||||||
ca cbk ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es et eu fa
|
|
||||||
fi fr frr fy ga gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia id ie ilo io
|
af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs
|
||||||
is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li lmo lo lrc lt lv
|
bxr ca cbk ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es
|
||||||
mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah nap nds ne new nl nn
|
et eu fa fi fr frr fy ga gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia
|
||||||
no oc or os pa pam pfl pl pms pnb ps pt qu rm ro ru rue sa sah sc scn sco sd
|
id ie ilo io is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li
|
||||||
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
|
lmo lo lrc lt lv mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah
|
||||||
vi vls vo wa war wuu xal xmf yi yo yue zh
|
nap nds ne new nl nn no oc or os pa pam pfl pl pms pnb ps pt qu rm ro ru
|
||||||
|
rue sa sah sc scn sco sd 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 vi vls vo wa war wuu xal xmf yi yo yue zh
|
||||||
|
|
||||||
|
By using ``only_search_languages=True`` the `language identification model`_
|
||||||
|
is harmonized with the SearXNG's language (locale) model. General
|
||||||
|
conditions of SearXNG's locale model are:
|
||||||
|
|
||||||
|
a. SearXNG's locale of a query is passed to the
|
||||||
|
:py:obj:`searx.locales.get_engine_locale` to get a language and/or region
|
||||||
|
code that is used by an engine.
|
||||||
|
|
||||||
|
b. Most of SearXNG's engines do not support all the languages from `language
|
||||||
|
identification model`_ and there is also a discrepancy in the ISO-639-3
|
||||||
|
(fastext) and ISO-639-2 (SearXNG)handling. Further more, in SearXNG the
|
||||||
|
locales like ``zh-TH`` (``zh-CN``) are mapped to ``zh_Hant``
|
||||||
|
(``zh_Hans``) while the `language identification model`_ reduce both to
|
||||||
|
``zh``.
|
||||||
|
|
||||||
.. _a fork: https://github.com/searxng/fasttext-predict
|
.. _a fork: https://github.com/searxng/fasttext-predict
|
||||||
.. _fastText: https://fasttext.cc/
|
.. _fastText: https://fasttext.cc/
|
||||||
|
@ -680,6 +698,7 @@ def detect_language(text: str, threshold: float = 0.3, only_search_languages: bo
|
||||||
.. _language identification model: https://fasttext.cc/docs/en/language-identification.html
|
.. _language identification model: https://fasttext.cc/docs/en/language-identification.html
|
||||||
.. _Bag of Tricks for Efficient Text Classification: https://arxiv.org/abs/1607.01759
|
.. _Bag of Tricks for Efficient Text Classification: https://arxiv.org/abs/1607.01759
|
||||||
.. _`FastText.zip: Compressing text classification models`: https://arxiv.org/abs/1612.03651
|
.. _`FastText.zip: Compressing text classification models`: https://arxiv.org/abs/1612.03651
|
||||||
|
|
||||||
"""
|
"""
|
||||||
if not isinstance(text, str):
|
if not isinstance(text, str):
|
||||||
raise ValueError('text must a str')
|
raise ValueError('text must a str')
|
||||||
|
|
Loading…
Reference in New Issue