zaclys/searxng
1
0
Fork 1
mirror of https://github.com/searxng/searxng synced 2024-01-01 18:24:07 +00:00
Code Issues Packages Projects Releases Wiki Activity

[doc] improved docs of implementations for automatic speech recognition

Browse Source 
Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
This commit is contained in:
Markus Heiser 2023-01-30 08:53:48 +01:00 committed by Alexandre Flament
parent 6748e8e2d5
commit 0b1444b61e
1 changed files with 42 additions and 23 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

65
searx/utils.py
View File

@ -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]:
"""Detect the language of the text parameter
"""Detect the language of the ``text`` parameter.
Args:
* 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 str text: The string whose language is to be detected.
: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:
* ValueError: if text is not a string
:param bool only_search_languages: If ``True``, returns only supported
SearXNG search languages. see :py:obj:`searx.languages`
Returns:
* result (str, None): the detected language code or None. See below.
:rtype: str, None
:returns:
The detected language code or ``None``. See below.
The language detection is done by using `a fork`_ of the fastText_ library (`python
fasttext`_). fastText_ distributes the `language identification model`_, for
reference:
:raises ValueError: If ``text`` is not a string.
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`_
- `Bag of Tricks for Efficient Text Classification`_
The `language identification model`_ support the language codes (ISO-639-3)::
af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs bxr
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
is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li lmo lo lrc lt lv
mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah 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
The `language identification model`_ support the language codes
(ISO-639-3)::
af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs
bxr 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 is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li
lmo lo lrc lt lv mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah
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
.. _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
.. _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
"""
if not isinstance(text, str):
raise ValueError('text must a str')