| |
| |
| |
| |
| """ |
| Thai unigram word frequency from OSCAR Corpus (words tokenized using ICU) |
| |
| Credit: Korakot Chaovavanich |
| https://web.facebook.com/groups/colab.thailand/permalink/1524070061101680/ |
| """ |
|
|
| __all__ = ["word_freqs", "unigram_word_freqs"] |
|
|
| from collections import defaultdict |
| from typing import List, Tuple |
|
|
| from pythainlp.corpus import get_corpus_path |
|
|
| _OSCAR_FILENAME = "oscar_icu" |
|
|
|
|
| def word_freqs() -> List[Tuple[str, int]]: |
| """ |
| Get word frequency from OSCAR Corpus (words tokenized using ICU) |
| """ |
| freqs: list[tuple[str, int]] = [] |
| path = get_corpus_path(_OSCAR_FILENAME) |
| if not path: |
| return freqs |
| path = str(path) |
|
|
| with open(path, "r", encoding="utf-8-sig") as f: |
| lines = list(f.readlines()) |
| del lines[0] |
| for line in lines: |
| temp = line.strip().split(",") |
| if len(temp) >= 2: |
| if temp[0] != " " and '"' not in temp[0]: |
| freqs.append((temp[0], int(temp[1]))) |
| elif temp[0] == " ": |
| freqs.append(("<s/>", int(temp[1]))) |
|
|
| return freqs |
|
|
|
|
| def unigram_word_freqs() -> dict[str, int]: |
| """ |
| Get unigram word frequency from OSCAR Corpus (words tokenized using ICU) |
| """ |
| freqs: dict[str, int] = defaultdict(int) |
| path = get_corpus_path(_OSCAR_FILENAME) |
| if not path: |
| return freqs |
| path = str(path) |
|
|
| with open(path, "r", encoding="utf-8-sig") as fh: |
| lines = list(fh.readlines()) |
| del lines[0] |
| for i in lines: |
| temp = i.strip().split(",") |
| if temp[0] != " " and '"' not in temp[0]: |
| freqs[temp[0]] = int(temp[-1]) |
| elif temp[0] == " ": |
| freqs["<s/>"] = int(temp[-1]) |
|
|
| return freqs |
|
|
