| |
| |
| |
| """ |
| Thai National Corpus word frequency |
| """ |
|
|
| __all__ = [ |
| "bigram_word_freqs", |
| "trigram_word_freqs", |
| "unigram_word_freqs", |
| "word_freqs", |
| ] |
|
|
| from collections import defaultdict |
| from typing import List, Tuple |
|
|
| from pythainlp.corpus import get_corpus, get_corpus_path |
|
|
| _UNIGRAM_FILENAME = "tnc_freq.txt" |
| _BIGRAM_CORPUS_NAME = "tnc_bigram_word_freqs" |
| _TRIGRAM_CORPUS_NAME = "tnc_trigram_word_freqs" |
|
|
|
|
| def word_freqs() -> List[Tuple[str, int]]: |
| """ |
| Get word frequency from Thai National Corpus (TNC) |
| \n(See: `dev/pythainlp/corpus/tnc_freq.txt\ |
| <https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/tnc_freq.txt>`_) |
| |
| Credit: Korakot Chaovavanich https://www.facebook.com/groups/thainlp/posts/434330506948445 |
| """ |
| freqs: list[tuple[str, int]] = [] |
| lines = list(get_corpus(_UNIGRAM_FILENAME)) |
| for line in lines: |
| word_freq = line.split("\t") |
| if len(word_freq) >= 2: |
| freqs.append((word_freq[0], int(word_freq[1]))) |
|
|
| return freqs |
|
|
|
|
| def unigram_word_freqs() -> dict[str, int]: |
| """ |
| Get unigram word frequency from Thai National Corpus (TNC) |
| """ |
| freqs: dict[str, int] = defaultdict(int) |
| lines = list(get_corpus(_UNIGRAM_FILENAME)) |
| for i in lines: |
| _temp = i.strip().split(" ") |
| if len(_temp) >= 2: |
| freqs[_temp[0]] = int(_temp[-1]) |
|
|
| return freqs |
|
|
|
|
| def bigram_word_freqs() -> dict[Tuple[str, str], int]: |
| """ |
| Get bigram word frequency from Thai National Corpus (TNC) |
| """ |
| freqs: dict[tuple[str, str], int] = defaultdict(int) |
| path = get_corpus_path(_BIGRAM_CORPUS_NAME) |
| if not path: |
| return freqs |
| path = str(path) |
|
|
| with open(path, "r", encoding="utf-8-sig") as fh: |
| for i in fh.readlines(): |
| temp = i.strip().split(" ") |
| freqs[(temp[0], temp[1])] = int(temp[-1]) |
|
|
| return freqs |
|
|
|
|
| def trigram_word_freqs() -> dict[Tuple[str, str, str], int]: |
| """ |
| Get trigram word frequency from Thai National Corpus (TNC) |
| """ |
| freqs: dict[tuple[str, str, str], int] = defaultdict(int) |
| path = get_corpus_path(_TRIGRAM_CORPUS_NAME) |
| if not path: |
| return freqs |
| path = str(path) |
|
|
| with open(path, "r", encoding="utf-8-sig") as fh: |
| for i in fh.readlines(): |
| temp = i.strip().split(" ") |
| freqs[(temp[0], temp[1], temp[2])] = int(temp[-1]) |
|
|
| return freqs |
|
|
