| |
| |
| |
| |
| """ |
| The implementation of sentence segmentator from Nakhun Chumpolsathien, 2020 |
| original codes are from: https://github.com/nakhunchumpolsathien/ThaiSum |
| |
| Cite: |
| |
| @mastersthesis{chumpolsathien_2020, |
| title={Using Knowledge Distillation from Keyword Extraction to Improve the Informativeness of Neural Cross-lingual Summarization}, |
| author={Chumpolsathien, Nakhun}, |
| year={2020}, |
| school={Beijing Institute of Technology} |
| """ |
|
|
| import math |
| import operator |
| import re |
| from typing import List |
|
|
| from pythainlp.tokenize import word_tokenize |
|
|
|
|
| def list_to_string(list: List[str]) -> str: |
| string = "".join(list) |
| string = " ".join(string.split()) |
| return string |
|
|
|
|
| def middle_cut(sentences: List[str]) -> List[str]: |
| new_text = "" |
| for sentence in sentences: |
| sentence_size = len(word_tokenize(sentence, keep_whitespace=False)) |
|
|
| for k in range(0, len(sentence)): |
| if k == 0 or k + 1 >= len(sentence): |
| continue |
| if sentence[k].isdigit() and sentence[k - 1] == " ": |
| sentence = sentence[: k - 1] + sentence[k:] |
| if k + 2 <= len(sentence): |
| if sentence[k].isdigit() and sentence[k + 1] == " ": |
| sentence = sentence[: k + 1] + sentence[k + 2 :] |
|
|
| fixed_text_lenth = 20 |
|
|
| if sentence_size > fixed_text_lenth: |
| partition = math.floor(sentence_size / fixed_text_lenth) |
| tokens = word_tokenize(sentence, keep_whitespace=True) |
| for i in range(0, partition): |
| middle_space = sentence_size / (partition + 1) * (i + 1) |
| white_space_index = [] |
| white_space_diff = {} |
|
|
| for j in range(len(tokens)): |
| if tokens[j] == " ": |
| white_space_index.append(j) |
|
|
| for white_space in white_space_index: |
| white_space_diff.update( |
| {white_space: abs(white_space - middle_space)} |
| ) |
|
|
| if len(white_space_diff) > 0: |
| min_diff = min( |
| white_space_diff.items(), key=operator.itemgetter(1) |
| ) |
| tokens.pop(min_diff[0]) |
| tokens.insert(min_diff[0], "<stop>") |
| new_text = new_text + list_to_string(tokens) + "<stop>" |
| else: |
| new_text = new_text + sentence + "<stop>" |
|
|
| sentences = new_text.split("<stop>") |
| sentences = [s.strip() for s in sentences] |
| if "" in sentences: |
| sentences.remove("") |
| if "nan" in sentences: |
| sentences.remove("nan") |
|
|
| sentences = list(filter(None, sentences)) |
| return sentences |
|
|
|
|
| class ThaiSentenceSegmentor: |
| def split_into_sentences( |
| self, text: str, isMiddleCut: bool = False |
| ) -> List[str]: |
| |
| th_alphabets = "([ก-๙])" |
| th_conjunction = "(ทำให้|โดย|เพราะ|นอกจากนี้|แต่|กรณีที่|หลังจากนี้|ต่อมา|ภายหลัง|นับตั้งแต่|หลังจาก|ซึ่งเหตุการณ์|ผู้สื่อข่าวรายงานอีก|ส่วนที่|ส่วนสาเหตุ|ฉะนั้น|เพราะฉะนั้น|เพื่อ|เนื่องจาก|จากการสอบสวนทราบว่า|จากกรณี|จากนี้|อย่างไรก็ดี)" |
| th_cite = "(กล่าวว่า|เปิดเผยว่า|รายงานว่า|ให้การว่า|เผยว่า|บนทวิตเตอร์ว่า|แจ้งว่า|พลเมืองดีว่า|อ้างว่า)" |
| th_ka_krub = "(ครับ|ค่ะ)" |
| th_stop_after = "(หรือไม่|โดยเร็ว|แล้ว|อีกด้วย)" |
| th_stop_before = "(ล่าสุด|เบื้องต้น|ซึ่ง|ทั้งนี้|แม้ว่า|เมื่อ|แถมยัง|ตอนนั้น|จนเป็นเหตุให้|จากนั้น|อย่างไรก็ตาม|และก็|อย่างใดก็ตาม|เวลานี้|เช่น|กระทั่ง)" |
| degit = "([0-9])" |
| th_title = "(นาย|นาง|นางสาว|เด็กชาย|เด็กหญิง|น.ส.|ด.ช.|ด.ญ.)" |
|
|
| text = f" {text} " |
| text = text.replace("\n", " ") |
| text = text.replace("", "") |
| text = text.replace("โดยเร็ว", "<rth_Doeirew>") |
| text = text.replace("เพื่อน", "<rth_friend>") |
| text = text.replace("แต่ง", "<rth_but>") |
| text = text.replace("โดยสาร", "<rth_passenger>") |
| text = text.replace("แล้วแต่", "<rth_leawtea>") |
| text = text.replace("หรือเปล่า", "<rth_repraw>") |
| text = text.replace("หรือไม่", "<rth_remai>") |
| text = text.replace("จึงรุ่งเรืองกิจ", "<rth_tanatorn_lastname>") |
| text = text.replace("ตั้งแต่", "<rth_tangtea>") |
| text = text.replace("แต่ละ", "<rth_teala>") |
| text = text.replace("วิตแล้ว", "<rth_chiwitleaw>") |
| text = text.replace("โดยประ", "<rth_doipra>") |
| text = text.replace("แต่หลังจากนั้น", "<rth_tealangjaknan>") |
| text = text.replace("พรรคเพื่อ", "<for_party>") |
| text = text.replace("แต่เนื่อง", "<rth_teaneung>") |
| text = text.replace("เพื่อทำให้", "เพื่อ<rth_tamhai>") |
| text = text.replace("ทำเพื่อ", "ทำ<rth_for>") |
| text = text.replace("จึงทำให้", "จึง<tamhai>") |
| text = text.replace("มาโดยตลอด", "<madoitalod>") |
| text = text.replace("แต่อย่างใด", "<teayangdaikptam>") |
| text = text.replace("แต่หลังจาก", "แต่<langjak>") |
| text = text.replace("คงทำให้", "<rth_kongtamhai>") |
| text = text.replace("แต่ทั้งนี้", "แต่<tangni>") |
| text = text.replace("มีแต่", "มี<tea>") |
| text = text.replace("เหตุที่ทำให้", "<hedteetamhai>") |
| text = text.replace("โดยหลังจาก", "โดย<langjak>") |
| text = text.replace("ซึ่งหลังจาก", "ซึ่ง<langjak>") |
| text = text.replace("ตั้งโดย", "<rth_tangdoi>") |
| text = text.replace("โดยตรง", "<rth_doitong>") |
| text = text.replace("นั้นหรือ", "<rth_nanhlor>") |
| text = text.replace("ซึ่งต้องทำให้", "ซึ่งต้อง<tamhai>") |
| text = text.replace("ชื่อต่อมา", "ชื่อ<tomar>") |
| text = text.replace("โดยเร่งด่วน", "<doi>เร่งด่วน") |
| text = text.replace("ไม่ได้ทำให้", "ไม่ได้<tamhai>") |
| text = text.replace("จะทำให้", "จะ<tamhai>") |
| text = text.replace("จนทำให้", "จน<tamhai>") |
| text = text.replace("เว้นแต่", "เว้น<rth_tea>") |
| text = text.replace("ก็ทำให้", "ก็<tamhai>") |
| text = text.replace(" ณ ตอนนั้น", " ณ <tonnan>") |
| text = text.replace("บางส่วน", "บาง<rth_suan>") |
| text = text.replace("หรือแม้แต่", "หรือ<rth_meatea>") |
| text = text.replace("โดยทำให้", "โดย<tamhai>") |
| text = text.replace("หรือเพราะ", "หรือ<rth_orbecause>") |
| text = text.replace("มาแต่", "มา<rth_tea>") |
| text = text.replace("แต่ไม่ทำให้", "แต่<maitamhai>") |
| text = text.replace("ฉะนั้นเมื่อ", "ฉะนั้น<rth_moe>") |
| text = text.replace("เพราะฉะนั้น", "เพราะ<rth_chanan>") |
| text = text.replace("เพราะหลังจาก", "เพราะ<rth_langjak>") |
| text = text.replace("สามารถทำให้", "สามารถ<rth_tamhai>") |
| text = text.replace("อาจทำ", "อาจ<rth_tam>") |
| text = text.replace("จะทำ", "จะ<rth_tam>") |
| text = text.replace("และนอกจากนี้", "นอกจากนี้") |
| text = text.replace("อีกทั้งเพื่อ", "อีกทั้ง<rth_for>") |
| text = text.replace("ทั้งนี้เพื่อ", "ทั้งนี้<rth_for>") |
| text = text.replace("เวลาต่อมา", "เวลา<rth_toma>") |
| text = text.replace("อย่างไรก็ตาม", "อย่างไรก็ตาม") |
| text = text.replace( |
| "อย่างไรก็ตามหลังจาก", "<stop>อย่างไรก็ตาม<rth_langjak>" |
| ) |
| text = text.replace("ซึ่งทำให้", "ซึ่ง<rth_tamhai>") |
| text = text.replace("โดยประมาท", "<doi>ประมาท") |
| text = text.replace("โดยธรรม", "<doi>ธรรม") |
| text = text.replace("โดยสัจจริง", "<doi>สัจจริง") |
|
|
| if "และ" in text: |
| tokens = word_tokenize(text.strip(), keep_whitespace=True) |
| and_position = -1 |
| nearest_space_position = -1 |
| last_position = len(tokens) |
| pop_split_position = [] |
| split_position = [] |
| for i in range(len(tokens)): |
| if tokens[i] == "และ": |
| and_position = i |
|
|
| if ( |
| and_position != -1 |
| and i > and_position |
| and tokens[i] == " " |
| and nearest_space_position == -1 |
| ): |
| if i - and_position != 1: |
| nearest_space_position = i |
|
|
| if and_position != -1 and last_position - and_position == 3: |
| split_position.append(last_position) |
| and_position = -1 |
| nearest_space_position = -1 |
|
|
| if nearest_space_position != -1: |
| if nearest_space_position - and_position < 5: |
| pop_split_position.append(nearest_space_position) |
| else: |
| split_position.append(and_position) |
| and_position = -1 |
| nearest_space_position = -1 |
| for pop in pop_split_position: |
| tokens.pop(pop) |
| tokens.insert(pop, "<stop>") |
| for split in split_position: |
| tokens.insert(split, "<stop>") |
| text = list_to_string(tokens) |
|
|
| if "หรือ" in text: |
| tokens = word_tokenize(text.strip(), keep_whitespace=True) |
| or_position = -1 |
| nearest_space_position = -1 |
| last_position = len(tokens) |
| pop_split_position = [] |
| split_position = [] |
| for i in range(len(tokens)): |
| if tokens[i] == "หรือ": |
| or_position = i |
| if ( |
| or_position != -1 |
| and i > or_position |
| and tokens[i] == " " |
| and nearest_space_position == -1 |
| ): |
| if i - or_position != 1: |
| nearest_space_position = i |
|
|
| if or_position != -1 and last_position - or_position == 3: |
| split_position.append(last_position) |
| or_position = -1 |
| nearest_space_position = -1 |
|
|
| if nearest_space_position != -1: |
| if nearest_space_position - or_position < 4: |
| pop_split_position.append(nearest_space_position) |
| else: |
| split_position.append(or_position) |
| or_position = -1 |
| nearest_space_position = -1 |
| for pop in pop_split_position: |
| tokens.pop(pop) |
| tokens.insert(pop, "<stop>") |
| for split in split_position: |
| tokens.insert(split, "<stop>") |
| text = list_to_string(tokens) |
|
|
| if "จึง" in text: |
| tokens = word_tokenize(text.strip(), keep_whitespace=True) |
| cung_position = -1 |
| nearest_space_position = -1 |
| pop_split_position = [] |
| last_position = len(tokens) |
| split_position = [] |
| for i in range(len(tokens)): |
| if tokens[i] == "จึง": |
| cung_position = i |
|
|
| if ( |
| cung_position != -1 |
| and tokens[i] == " " |
| and i > cung_position |
| and nearest_space_position == -1 |
| ): |
| if i - cung_position != 1: |
| nearest_space_position = i |
|
|
| if cung_position != -1 and last_position - cung_position == 2: |
| split_position.append(last_position) |
| cung_position = -1 |
| nearest_space_position = -1 |
|
|
| if nearest_space_position != -1: |
| if nearest_space_position - cung_position < 3: |
| pop_split_position.append(nearest_space_position) |
| else: |
| split_position.append(cung_position) |
| cung_position = -1 |
| nearest_space_position = -1 |
|
|
| for pop in pop_split_position: |
| tokens.pop(pop) |
| tokens.insert(pop, "<stop>") |
| for split in split_position: |
| tokens.insert(split, "<stop>") |
|
|
| text = list_to_string(tokens) |
|
|
| text = re.sub(" " + th_stop_before, "<stop>\\1", text) |
| text = re.sub(th_ka_krub, "\\1<stop>", text) |
| text = re.sub(th_conjunction, "<stop>\\1", text) |
| text = re.sub(th_cite, "\\1<stop>", text) |
| text = re.sub(" " + degit + "[.]" + th_title, "<stop>\\1.\\2", text) |
| text = re.sub( |
| " " + degit + degit + "[.]" + th_title, "<stop>\\1\\2.\\3", text |
| ) |
| text = re.sub(th_alphabets + th_stop_after + " ", "\\1\\2<stop>", text) |
| if "”" in text: |
| text = text.replace(".”", "”.") |
| if '"' in text: |
| text = text.replace('."', '".') |
| if "!" in text: |
| text = text.replace('!"', '"!') |
| if "?" in text: |
| text = text.replace('?"', '"?') |
| text = text.replace("<rth_Doeirew>", "โดยเร็ว") |
| text = text.replace("<rth_friend>", "เพื่อน") |
| text = text.replace("<rth_but>", "แต่ง") |
| text = text.replace("<rth_passenger>", "โดยสาร") |
| text = text.replace("<rth_leawtea>", "แล้วแต่") |
| text = text.replace("<rth_repraw>", "หรือเปล่า") |
| text = text.replace("<rth_remai>", "หรือไม่") |
| text = text.replace("<rth_tanatorn_lastname>", "จึงรุ่งเรืองกิจ") |
| text = text.replace("<rth_tangtea>", "ตั้งแต่") |
| text = text.replace("<rth_teala>", "แต่ละ") |
| text = text.replace("<rth_chiwitleaw>", "วิตแล้ว") |
| text = text.replace("<rth_doipra>", "โดยประ") |
| text = text.replace("<rth_tealangjaknan>", "แต่หลังจากนั้น") |
| text = text.replace("<for_party>", "พรรคเพื่อ") |
| text = text.replace("<rth_teaneung>", "แต่เนื่อง") |
| text = text.replace("เพื่อ<rth_tamhai>", "เพื่อทำให้") |
| text = text.replace("ทำ<rth_for>", "ทำเพื่อ") |
| text = text.replace("จึง<tamhai>", "จึงทำให้") |
| text = text.replace("<madoitalod>", "มาโดยตลอด") |
| text = text.replace("แต่<langjak>", "แต่หลังจาก") |
| text = text.replace("แต่<tangni>", "แต่ทั้งนี้") |
| text = text.replace("มี<tea>", "มีแต่") |
| text = text.replace("<teayangdaikptam>", "แต่อย่างใด") |
| text = text.replace("<rth_kongtamhai>", "คงทำให้") |
| text = text.replace("<hedteetamhai>", "เหตุที่ทำให้") |
| text = text.replace("โดย<langjak>", "โดยหลังจาก") |
| text = text.replace("ซึ่ง<langjak>", "ซึ่งหลังจาก") |
| text = text.replace("<rth_tangdoi>", "ตั้งโดย") |
| text = text.replace("<rth_doitong>", "โดยตรง") |
| text = text.replace("<rth_nanhlor>", "นั้นหรือ") |
| text = text.replace("ซึ่งต้อง<tamhai>", "ซึ่งต้องทำให้") |
| text = text.replace("ชื่อ<tomar>", "ชื่อต่อมา") |
| text = text.replace("<doi>เร่งด่วน", "โดยเร่งด่วน") |
| text = text.replace("ไม่ได้<tamhai>", "ไม่ได้ทำให้") |
| text = text.replace("จะ<tamhai>", "จะทำให้") |
| text = text.replace("จน<tamhai>", "จนทำให้") |
| text = text.replace("เว้น<rth_tea>", "เว้นแต่") |
| text = text.replace("ก็<tamhai>", "ก็ทำให้") |
| text = text.replace(" ณ <tonnan>", " ณ ตอนนั้น") |
| text = text.replace("บาง<rth_suan>", "บางส่วน") |
| text = text.replace("หรือ<rth_meatea>", "หรือแม้แต่") |
| text = text.replace("โดย<tamhai>", "โดยทำให้") |
| text = text.replace("หรือ<rth_orbecause>", "หรือเพราะ") |
| text = text.replace("มา<rth_tea>", "มาแต่") |
| text = text.replace("แต่<maitamhai>", "แต่ไม่ทำให้") |
| text = text.replace("ฉะนั้น<rth_moe>", "ฉะนั้นเมื่อ") |
| text = text.replace("เพราะ<rth_chanan>", "เพราะฉะนั้น") |
| text = text.replace("เพราะ<rth_langjak>", "เพราะหลังจาก") |
| text = text.replace("สามารถ<rth_tamhai>", "สามารถทำให้") |
| text = text.replace("อาจ<rth_tam>", "อาจทำ") |
| text = text.replace("จะ<rth_tam>", "จะทำ") |
| text = text.replace("อีกทั้ง<rth_for>", "อีกทั้งเพื่อ") |
| text = text.replace("ทั้งนี้<rth_for>", "ทั้งนี้เพื่อ") |
| text = text.replace("เวลา<rth_toma>", "เวลาต่อมา") |
| text = text.replace( |
| "อย่างไรก็ตาม<rth_langjak>", |
| "อย่างไรก็ตามหลังจาก", |
| ) |
| text = text.replace("ซึ่ง<rth_tamhai>", "ซึ่งทำให้") |
| text = text.replace("<doi>ประมาท", "โดยประมาท") |
| text = text.replace("<doi>ธรรม", "โดยธรรม") |
| text = text.replace("<doi>สัจจริง", "โดยสัจจริง") |
| text = text.replace("?", "?<stop>") |
| text = text.replace("!", "!<stop>") |
| text = text.replace("<prd>", ".") |
| sentences = text.split("<stop>") |
| sentences = [s.strip() for s in sentences] |
| if "" in sentences: |
| sentences.remove("") |
| if "nan" in sentences: |
| sentences.remove("nan") |
|
|
| sentences = list(filter(None, sentences)) |
|
|
| if isMiddleCut: |
| return middle_cut(sentences) |
| else: |
| return sentences |
|
|
