File size: 2,516 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project.
# SPDX-License-Identifier: Apache-2.0
"""
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
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