LibreTranslate/app/language.py
2022-12-11 00:45:14 -05:00

117 lines
3.6 KiB
Python

import string
from argostranslate import translate
from app.detect import Detector, UnknownLanguage
__languages = None
def load_languages():
global __languages
if __languages is None or len(__languages) == 0:
__languages = translate.get_installed_languages()
return __languages
def detect_languages(text):
# detect batch processing
if isinstance(text, list):
is_batch = True
else:
is_batch = False
text = [text]
# get the candidates
candidates = []
for t in text:
try:
d = Detector(t).languages
for i in range(len(d)):
d[i].text_length = len(t)
candidates.extend(d)
except UnknownLanguage:
pass
# total read bytes of the provided text
text_length_total = sum(c.text_length for c in candidates)
# Load language codes
languages = load_languages()
lang_codes = [l.code for l in languages]
# only use candidates that are supported by argostranslate
candidate_langs = list(
filter(lambda l: l.text_length != 0 and l.code in lang_codes, candidates)
)
# this happens if no language could be detected
if not candidate_langs:
# use language "en" by default but with zero confidence
return [{"confidence": 0.0, "language": "en"}]
# for multiple occurrences of the same language (can happen on batch detection)
# calculate the average confidence for each language
if is_batch:
temp_average_list = []
for lang_code in lang_codes:
# get all candidates for a specific language
lc = list(filter(lambda l: l.code == lang_code, candidate_langs))
if len(lc) > 1:
# if more than one is present, calculate the average confidence
lang = lc[0]
lang.confidence = sum(l.confidence for l in lc) / len(lc)
lang.text_length = sum(l.text_length for l in lc)
temp_average_list.append(lang)
elif lc:
# otherwise just add it to the temporary list
temp_average_list.append(lc[0])
if temp_average_list:
# replace the list
candidate_langs = temp_average_list
# sort the candidates descending based on the detected confidence
candidate_langs.sort(
key=lambda l: (l.confidence * l.text_length) / text_length_total, reverse=True
)
return [{"confidence": l.confidence, "language": l.code} for l in candidate_langs]
def improve_translation_formatting(source, translation, improve_punctuation=True):
source = source.strip()
if not len(source):
return ""
if not len(translation):
return source
if improve_punctuation:
source_last_char = source[len(source) - 1]
translation_last_char = translation[len(translation) - 1]
punctuation_chars = ['!', '?', '.', ',', ';']
if source_last_char in punctuation_chars:
if translation_last_char != source_last_char:
if translation_last_char in punctuation_chars:
translation = translation[:-1]
translation += source_last_char
elif translation_last_char in punctuation_chars:
translation = translation[:-1]
if source.islower():
return translation.lower()
if source.isupper():
return translation.upper()
if source[0].islower():
return translation[0].lower() + translation[1:]
if source[0].isupper():
return translation[0].upper() + translation[1:]
return translation