import os import sys from tqdm import tqdm from typing import Iterator, List, Tuple from remove_train_devtest_overlaps import pair_dedup_files def read_file(fname: str) -> Iterator[str]: """ Reads text from the input file and yields the text line-by-line as string. Args: fname (str): name of the input file to read. Yields: Iterator[str]: yields text line-by-line as a string from the input file. """ with open(fname, "r", encoding="utf-8") as infile: for line in infile: yield line.strip() def extract_non_english_pairs(in_dir: str, out_dir: str, pivot_lang: str, langs: List[str]): """ Extracts non-English language pairs from a parallel corpora using pivot-translation. Args: in_dir (str): path of the directory where the input files are stored. out_dir (str): path of the directory where the output files are stored. pivot_lang (str): pivot language that the input files are translated to. langs (List[str]): a list of language codes for the non-English languages. """ for i in tqdm(range(len(langs) - 1)): print() for j in range(i + 1, len(langs)): lang1 = langs[i] lang2 = langs[j] print("{} {}".format(lang1, lang2)) fname1 = "{}/{}-{}/train.{}".format(in_dir, pivot_lang, lang1, pivot_lang) fname2 = "{}/{}-{}/train.{}".format(in_dir, pivot_lang, lang2, pivot_lang) enset_l1 = set(read_file(fname1)) common_en_set = enset_l1.intersection(read_file(fname2)) il_fname1 = "{}/{}-{}/train.{}".format(in_dir, pivot_lang, lang1, lang1) en_lang1_dict = {} for en_line, il_line in zip(read_file(fname1), read_file(il_fname1)): if en_line in common_en_set: en_lang1_dict[en_line] = il_line os.makedirs("{}/{}-{}".format(out_dir, lang1, lang2), exist_ok=True) out_l1_fname = "{o}/{l1}-{l2}/train.{l1}".format(o=out_dir, l1=lang1, l2=lang2) out_l2_fname = "{o}/{l1}-{l2}/train.{l2}".format(o=out_dir, l1=lang1, l2=lang2) il_fname2 = "{}/en-{}/train.{}".format(in_dir, lang2, lang2) with open(out_l1_fname, "w", encoding="utf-8") as out_l1_file, open( out_l2_fname, "w", encoding="utf-8" ) as out_l2_file: for en_line, il_line in zip(read_file(fname2), read_file(il_fname2)): if en_line in en_lang1_dict: # this block should be used if you want to consider multiple tranlations. for il_line_lang1 in en_lang1_dict[en_line]: # lang1_line, lang2_line = il_line_lang1, il_line # out_l1_file.write(lang1_line + "\n") # out_l2_file.write(lang2_line + "\n") # this block should be used if you DONT to consider multiple translation. lang1_line, lang2_line = en_lang1_dict[en_line], il_line out_l1_file.write(lang1_line + "\n") out_l2_file.write(lang2_line + "\n") pair_dedup_files(out_l1_fname, out_l2_fname) def get_extracted_stats(out_dir: str, langs: List[str]) -> List[Tuple[str, str, int]]: """ Gathers stats from the extracted non-english pairs. Args: out_dir (str): path of the directory where the output files are stored. langs (List[str]): a list of language codes. Returns: List[Tuple[str, str, int]]: a list of tuples, where each tuple contains statistical information about a language pair in the form "`(lang1, lang2, count)`". """ common_stats = [] for i in tqdm(range(len(langs) - 1)): for j in range(i + 1, len(langs)): lang1 = langs[i] lang2 = langs[j] out_l1_fname = "{o}/{l1}-{l2}/train.{l1}".format(o=out_dir, l1=lang1, l2=lang2) cnt = sum([1 for _ in read_file(out_l1_fname)]) common_stats.append((lang1, lang2, cnt)) common_stats.append((lang2, lang1, cnt)) return common_stats if __name__ == "__main__": #TODO: need to fix this in_dir = sys.argv[1] out_dir = sys.argv[2] langs = sorted([lang.strip() for lang in sys.argv[3].split(",")]) if len(sys.argv) == 4: pivot_lang = "eng_Latn" else: pivot_lang = sys.argv[4] for pair in os.listdir(in_dir): src_lang, tgt_lang = pair.split("-") if src_lang == pivot_lang: continue else: tmp_in_dir = os.path.join(in_dir, pair) tmp_out_dir = os.path.join(in_dir, "{}-{}".format(pivot_lang, src_lang)) os.rename(tmp_in_dir, tmp_out_dir) #extract_non_english_pairs(in_dir, out_dir, pivot_lang, langs) """stats = get_extracted_stats(out_dir, langs) with open("{}/lang_pairs.txt", "w") as f: for stat in stats: stat = list(map(str, stat)) f.write("\t".join(stat) + "\n") """