import logging import re # jieba静音 import jieba jieba.setLogLevel(logging.CRITICAL) # 更改fast_langdetect大模型位置 from pathlib import Path import fast_langdetect fast_langdetect.infer._default_detector = fast_langdetect.infer.LangDetector( fast_langdetect.infer.LangDetectConfig( cache_dir=Path(__file__).parent.parent.parent / "pretrained_models" / "fast_langdetect" ) ) from split_lang import LangSplitter def full_en(text): pattern = r"^[A-Za-z0-9\s\u0020-\u007E\u2000-\u206F\u3000-\u303F\uFF00-\uFFEF]+$" return bool(re.match(pattern, text)) def full_cjk(text): # 来自wiki cjk_ranges = [ (0x4E00, 0x9FFF), # CJK Unified Ideographs (0x3400, 0x4DB5), # CJK Extension A (0x20000, 0x2A6DD), # CJK Extension B (0x2A700, 0x2B73F), # CJK Extension C (0x2B740, 0x2B81F), # CJK Extension D (0x2B820, 0x2CEAF), # CJK Extension E (0x2CEB0, 0x2EBEF), # CJK Extension F (0x30000, 0x3134A), # CJK Extension G (0x31350, 0x323AF), # CJK Extension H (0x2EBF0, 0x2EE5D), # CJK Extension H ] pattern = r"[0-9、-〜。!?.!?… ]+$" cjk_text = "" for char in text: code_point = ord(char) in_cjk = any(start <= code_point <= end for start, end in cjk_ranges) if in_cjk or re.match(pattern, char): cjk_text += char return cjk_text def split_jako(tag_lang, item): if tag_lang == "ja": pattern = r"([\u3041-\u3096\u3099\u309A\u30A1-\u30FA\u30FC]+(?:[0-9、-〜。!?.!?… ]+[\u3041-\u3096\u3099\u309A\u30A1-\u30FA\u30FC]*)*)" else: pattern = r"([\u1100-\u11FF\u3130-\u318F\uAC00-\uD7AF]+(?:[0-9、-〜。!?.!?… ]+[\u1100-\u11FF\u3130-\u318F\uAC00-\uD7AF]*)*)" lang_list: list[dict] = [] tag = 0 for match in re.finditer(pattern, item["text"]): if match.start() > tag: lang_list.append({"lang": item["lang"], "text": item["text"][tag : match.start()]}) tag = match.end() lang_list.append({"lang": tag_lang, "text": item["text"][match.start() : match.end()]}) if tag < len(item["text"]): lang_list.append({"lang": item["lang"], "text": item["text"][tag : len(item["text"])]}) return lang_list def merge_lang(lang_list, item): if lang_list and item["lang"] == lang_list[-1]["lang"]: lang_list[-1]["text"] += item["text"] else: lang_list.append(item) return lang_list class LangSegmenter: # 默认过滤器, 基于gsv目前四种语言 DEFAULT_LANG_MAP = { "zh": "zh", "yue": "zh", # 粤语 "wuu": "zh", # 吴语 "zh-cn": "zh", "zh-tw": "x", # 繁体设置为x "ko": "ko", "ja": "ja", "en": "en", } def getTexts(text): lang_splitter = LangSplitter(lang_map=LangSegmenter.DEFAULT_LANG_MAP) substr = lang_splitter.split_by_lang(text=text) lang_list: list[dict] = [] for _, item in enumerate(substr): dict_item = {"lang": item.lang, "text": item.text} # 处理短英文被识别为其他语言的问题 if full_en(dict_item["text"]): dict_item["lang"] = "en" lang_list = merge_lang(lang_list, dict_item) continue # 处理非日语夹日文的问题(不包含CJK) ja_list: list[dict] = [] if dict_item["lang"] != "ja": ja_list = split_jako("ja", dict_item) if not ja_list: ja_list.append(dict_item) # 处理非韩语夹韩语的问题(不包含CJK) ko_list: list[dict] = [] temp_list: list[dict] = [] for _, ko_item in enumerate(ja_list): if ko_item["lang"] != "ko": ko_list = split_jako("ko", ko_item) if ko_list: temp_list.extend(ko_list) else: temp_list.append(ko_item) # 未存在非日韩文夹日韩文 if len(temp_list) == 1: # 未知语言检查是否为CJK if dict_item["lang"] == "x": cjk_text = full_cjk(dict_item["text"]) if cjk_text: dict_item = {"lang": "zh", "text": cjk_text} lang_list = merge_lang(lang_list, dict_item) continue else: lang_list = merge_lang(lang_list, dict_item) continue # 存在非日韩文夹日韩文 for _, temp_item in enumerate(temp_list): # 未知语言检查是否为CJK if temp_item["lang"] == "x": cjk_text = full_cjk(dict_item["text"]) if cjk_text: dict_item = {"lang": "zh", "text": cjk_text} lang_list = merge_lang(lang_list, dict_item) else: lang_list = merge_lang(lang_list, temp_item) return lang_list if __name__ == "__main__": text = "MyGO?,你也喜欢まいご吗?" print(LangSegmenter.getTexts(text)) text = "ねえ、知ってる?最近、僕は天文学を勉強してるんだ。君の瞳が星空みたいにキラキラしてるからさ。" print(LangSegmenter.getTexts(text))