Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
text
Sub-tasks:
language-modeling
Size:
< 1K
License:
| # (c) 2022 Jordi Mas i Hernàndez. Licensed under GPL 3.0. | |
| import polib | |
| import re | |
| def _remove_accelerators(result): | |
| CHARS = ( | |
| '_', '&', '~' # Accelerators. | |
| ) | |
| for c in CHARS: | |
| result = result.replace(c, '') | |
| return result.strip() | |
| def _remove_tags(text): | |
| clean = re.sub("<[^>]*>", "", text) | |
| return clean | |
| def _is_non_localized_string(src, trg): | |
| words_src_len = len(src.split()) | |
| words_trg_len = len(trg.split()) | |
| if words_src_len > 2 and words_trg_len > 2: | |
| return src == trg | |
| return False | |
| def _is_invalid(src, trg): | |
| if len(src) < 2 or len(trg) < 2: | |
| return True | |
| if '\n' in src or '\n' in trg: | |
| return True | |
| if '@@image' in src or '@@image' in trg: | |
| return True | |
| if _is_non_localized_string(src, trg): | |
| return True | |
| return False | |
| def generate_tsv(po_filename, output_filename): | |
| SEPARATOR = '\t' | |
| input_po = polib.pofile(po_filename) | |
| entries = 0 | |
| words = 0 | |
| srcs = set() | |
| with open(po_filename, "r") as source,\ | |
| open(output_filename, "w") as output: | |
| for entry in input_po: | |
| src = _remove_accelerators(entry.msgid.strip()) | |
| trg = _remove_accelerators(entry.msgstr.strip()) | |
| src = _remove_tags(src) | |
| trg = _remove_tags(trg) | |
| if _is_invalid(src, trg): | |
| continue | |
| if SEPARATOR in src or SEPARATOR in trg: | |
| continue | |
| if src in srcs: | |
| continue | |
| srcs.add(src) | |
| output.write(f"{src}{SEPARATOR}{trg}\n") | |
| words += len(src.split()) | |
| entries += 1 | |
| print(f"Generated {entries} entries with {words} words") | |
| def main(): | |
| print("Generate TSV from a PO file") | |
| generate_tsv("tots-tm.po", "MemoriesProjectesLliures.tsv") | |
| if __name__ == "__main__": | |
| main() |