|
"""Aligns corpora based on the English text using Murmurhash3""" |
|
import mmh3 |
|
import numpy as np |
|
import polars as pl |
|
|
|
with open("raw/europarl-v7.da-en.en") as in_file: |
|
texts = list(in_file) |
|
eng_da = pl.DataFrame(dict(text=texts, da_id=np.arange(len(texts)))) |
|
eng_da = eng_da.select( |
|
pl.col("da_id"), pl.col("text").map_elements(mmh3.hash64).alias("hash") |
|
) |
|
eng_da = eng_da.select( |
|
pl.col("da_id"), |
|
|
|
pl.col("hash").list.first().alias("hash1"), |
|
pl.col("hash").list.last().alias("hash2"), |
|
) |
|
|
|
with open("raw/europarl-v7.sv-en.en") as in_file: |
|
texts = list(in_file) |
|
eng_sv = pl.DataFrame(dict(text=texts, sv_id=np.arange(len(texts)))) |
|
eng_sv = eng_sv.select( |
|
pl.col("sv_id"), pl.col("text").map_elements(mmh3.hash64).alias("hash") |
|
) |
|
eng_sv = eng_sv.select( |
|
pl.col("sv_id"), |
|
|
|
pl.col("hash").list.first().alias("hash1"), |
|
pl.col("hash").list.last().alias("hash2"), |
|
) |
|
|
|
alignment = eng_sv.join(eng_da, on=["hash1", "hash2"], how="inner") |
|
alignment = alignment.select(pl.col("da_id", "sv_id")) |
|
alignment.write_parquet("alignment.parquet") |
|
|
