| |
| |
| |
| |
| """ |
| Preprocessing for ULMFiT |
| """ |
| import html |
| import re |
| from typing import Collection, List |
|
|
| import emoji |
|
|
| _TK_UNK = "xxunk" |
| _TK_REP = "xxrep" |
| _TK_WREP = "xxwrep" |
| _TK_END = "xxend" |
| _TK_URL = "xxurl" |
|
|
|
|
| def replace_url(text: str) -> str: |
| """ |
| Replace URL in `text` with TK_URL |
| |
| :param str text: text to replace URL in |
| |
| :return: text with URLs replaced |
| :rtype: str |
| |
| :Example: |
| |
| >>> from pythainlp.ulmfit import replace_url |
| >>> replace_url("go to github.com") |
| go to xxurl |
| """ |
| URL_PATTERN = r"""(?i)\b((?:https?:(?:/{1,3}|[a-z0-9%])|[a-z0-9.\-]+[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)/)(?:[^\s()<>{}\[\]]+|\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\))+(?:\([^\s()]*?\([^\s()]+\)[^\s()]*?\)|\([^\s]+?\)|[^\s`!()\[\]{};:'".,<>?«»“”‘’])|(?:(?<!@)[a-z0-9]+(?:[.\-][a-z0-9]+)*[.](?:com|net|org|edu|gov|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|name|post|pro|tel|travel|xxx|ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|sb|sc|sd|se|sg|sh|si|sj|Ja|sk|sl|sm|sn|so|sr|ss|st|su|sv|sx|sy|sz|tc|td|tf|tg|th|tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|ye|yt|yu|za|zm|zw)\b/?(?!@)))""" |
| return re.sub(URL_PATTERN, _TK_URL, text) |
|
|
|
|
| def fix_html(text: str) -> str: |
| """ |
| Replace HTML strings in `test`. (codes from `fastai`) |
| |
| :param str text: text to replace HTML strings in |
| |
| :return: text with HTML strings replaced |
| :rtype: str |
| |
| :Example: |
| |
| >>> from pythainlp.ulmfit import fix_html |
| >>> fix_html("Anbsp;amp;nbsp;B @.@ ") |
| A & B. |
| """ |
| re1 = re.compile(r" +") |
| text = ( |
| text.replace("#39;", "'") |
| .replace("amp;", "&") |
| .replace("#146;", "'") |
| .replace("nbsp;", " ") |
| .replace("#36;", "$") |
| .replace("\\n", "\n") |
| .replace("quot;", "'") |
| .replace("<br />", "\n") |
| .replace('\\"', '"') |
| .replace("<unk>", _TK_UNK) |
| .replace(" @.@ ", ".") |
| .replace(" @-@ ", "-") |
| .replace(" @,@ ", ",") |
| .replace("\\", " \\ ") |
| ) |
| return re1.sub(" ", html.unescape(text)) |
|
|
|
|
| def rm_useless_spaces(text: str) -> str: |
| """Remove multiple spaces in `text`. (codes from `fastai`)""" |
| return re.sub(" {2,}", " ", text) |
|
|
|
|
| def spec_add_spaces(text: str) -> str: |
| """Add spaces around / and # in `text`. \n (codes from `fastai`)""" |
| return re.sub(r"([/#\n])", r" \1 ", text) |
|
|
|
|
| def replace_rep_after(text: str) -> str: |
| """ |
| Replace repetitions at the character level in `text` after the repeated character. |
| This is to prevent cases such as 'น้อยยยยยยยย' becomes 'น้อ xxrep 8 ย' |
| ; instead it will retain the word as 'น้อย xxrep 8' |
| |
| :param str text: input text to replace character repetitions in |
| |
| :return: text with repetitive token **xxrep** and the counter |
| after the repeated character |
| |
| :rtype: str |
| :Example: |
| |
| >>> from pythainlp.ulmfit import replace_rep_after |
| >>> |
| >>> text = "กาาาาาาา" |
| >>> replace_rep_after(text) |
| 'กาxxrep7 ' |
| """ |
|
|
| def _replace_rep(m): |
| c, cc = m.groups() |
| return f"{c}{_TK_REP}{len(cc)+1} " |
|
|
| re_rep = re.compile(r"(\S)(\1{3,})") |
|
|
| return re_rep.sub(_replace_rep, text) |
|
|
|
|
| def replace_wrep_post(toks: Collection[str]) -> List[str]: |
| """ |
| Replace repetitive words after tokenization; |
| fastai `replace_wrep` does not work well with Thai. |
| |
| :param list[str] toks: list of tokens |
| |
| :return: list of tokens where **xxwrep** token and the counter |
| is added before repetitive words. |
| :rtype: list[str] |
| |
| :Example: |
| |
| >>> from pythainlp.ulmfit import replace_wrep_post_nonum |
| >>> |
| >>> toks = ["กา", "น้ำ", "น้ำ", "น้ำ", "น้ำ"] |
| >>> replace_wrep_post(toks) |
| ['กา', 'xxwrep', '3', 'น้ำ'] |
| |
| """ |
| previous_word = None |
| rep_count = 0 |
| res = [] |
| for current_word in toks + [_TK_END]: |
| if current_word == previous_word: |
| rep_count += 1 |
| elif (current_word != previous_word) & (rep_count > 0): |
| res += [_TK_WREP, str(rep_count), previous_word] |
| rep_count = 0 |
| else: |
| res.append(previous_word) |
| previous_word = current_word |
| return res[1:] |
|
|
|
|
| def rm_useless_newlines(text: str) -> str: |
| "Remove multiple newlines in `text`." |
|
|
| return re.sub(r"[\n]{2,}", " ", text) |
|
|
|
|
| def rm_brackets(text: str) -> str: |
| "Remove all empty brackets and artifacts within brackets from `text`." |
| |
| new_line = re.sub(r"\(\)", "", text) |
| new_line = re.sub(r"\{\}", "", new_line) |
| new_line = re.sub(r"\[\]", "", new_line) |
| |
| new_line = re.sub(r"\([^a-zA-Z0-9ก-๙]+\)", "", new_line) |
| new_line = re.sub(r"\{[^a-zA-Z0-9ก-๙]+\}", "", new_line) |
| new_line = re.sub(r"\[[^a-zA-Z0-9ก-๙]+\]", "", new_line) |
| |
| new_line = re.sub( |
| r"(?<=\()[^a-zA-Z0-9ก-๙]+(?=[a-zA-Z0-9ก-๙])", "", new_line |
| ) |
| new_line = re.sub( |
| r"(?<=\{)[^a-zA-Z0-9ก-๙]+(?=[a-zA-Z0-9ก-๙])", "", new_line |
| ) |
| new_line = re.sub( |
| r"(?<=\[)[^a-zA-Z0-9ก-๙]+(?=[a-zA-Z0-9ก-๙])", "", new_line |
| ) |
| |
| new_line = re.sub( |
| r"(?<=[a-zA-Z0-9ก-๙])[^a-zA-Z0-9ก-๙]+(?=\))", "", new_line |
| ) |
| new_line = re.sub( |
| r"(?<=[a-zA-Z0-9ก-๙])[^a-zA-Z0-9ก-๙]+(?=\})", "", new_line |
| ) |
| new_line = re.sub( |
| r"(?<=[a-zA-Z0-9ก-๙])[^a-zA-Z0-9ก-๙]+(?=\])", "", new_line |
| ) |
| return new_line |
|
|
|
|
| def ungroup_emoji(toks: Collection[str]) -> List[str]: |
| """ |
| Ungroup Zero Width Joiner (ZVJ) Emojis |
| |
| See https://emojipedia.org/emoji-zwj-sequence/ |
| """ |
| res = [] |
| for tok in toks: |
| if emoji.emoji_count(tok) == len(tok): |
| res.extend(list(tok)) |
| else: |
| res.append(tok) |
| return res |
|
|
|
|
| def lowercase_all(toks: Collection[str]) -> List[str]: |
| """ |
| Lowercase all English words; |
| English words in Thai texts don't usually have nuances of capitalization. |
| """ |
| return [tok.lower() for tok in toks] |
|
|
|
|
| def replace_rep_nonum(text: str) -> str: |
| """ |
| Replace repetitions at the character level in `text` after the repetition. |
| This is done to prevent such case as 'น้อยยยยยยยย' becoming 'น้อ xxrep ย'; |
| instead it will retain the word as 'น้อย xxrep ' |
| |
| :param str text: input text to replace character repetition |
| |
| :return: text with repetitive token **xxrep** after |
| character repetition |
| :rtype: str |
| |
| :Example: |
| |
| >>> from pythainlp.ulmfit import replace_rep_nonum |
| >>> |
| >>> text = "กาาาาาาา" |
| >>> replace_rep_nonum(text) |
| 'กา xxrep ' |
| |
| """ |
|
|
| def _replace_rep(m): |
| c, _ = m.groups() |
| return f"{c} {_TK_REP} " |
|
|
| re_rep = re.compile(r"(\S)(\1{3,})") |
| return re_rep.sub(_replace_rep, text) |
|
|
|
|
| def replace_wrep_post_nonum(toks: Collection[str]) -> List[str]: |
| """ |
| Replace reptitive words post tokenization; |
| fastai `replace_wrep` does not work well with Thai. |
| |
| :param list[str] toks: list of tokens |
| |
| :return: list of tokens where **xxwrep** token is added in front of |
| repetitive words. |
| :rtype: list[str] |
| |
| :Example: |
| |
| >>> from pythainlp.ulmfit import replace_wrep_post_nonum |
| >>> |
| >>> toks = ["กา", "น้ำ", "น้ำ", "น้ำ", "น้ำ"] |
| >>> replace_wrep_post_nonum(toks) |
| ['กา', 'xxwrep', 'น้ำ'] |
| |
| """ |
| previous_word = None |
| rep_count = 0 |
| res = [] |
| for current_word in toks + [_TK_END]: |
| if current_word == previous_word: |
| rep_count += 1 |
| elif (current_word != previous_word) & (rep_count > 0): |
| res += [_TK_WREP, previous_word] |
| rep_count = 0 |
| else: |
| res.append(previous_word) |
| previous_word = current_word |
| return res[1:] |
|
|
|
|
| def remove_space(toks: Collection[str]) -> List[str]: |
| """ |
| Do not include space for bag-of-word models. |
| |
| :param list[str] toks: list of tokens |
| |
| :return: list of tokens where space tokens (" ") are filtered out |
| :rtype: list[str] |
| """ |
| res = [] |
| for t in toks: |
| t = t.strip() |
| if t: |
| res.append(t) |
| return res |
|
|
