Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents

Fuente: arXiv
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Main Authors: Song, Seyoung, Yoo, Haneul, Jin, Jiho, Cho, Kyunghyun, Oh, Alice
Format: Preprint
Published: 2024
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author Song, Seyoung
Yoo, Haneul
Jin, Jiho
Cho, Kyunghyun
Oh, Alice
author_facet Song, Seyoung
Yoo, Haneul
Jin, Jiho
Cho, Kyunghyun
Oh, Alice
contents Historical documents in the Sinosphere are known to share common formats and practices, particularly in veritable records compiled by court historians. This shared linguistic heritage has led researchers to use Classical Chinese resources for cross-lingual transfer when processing historical documents from Korea and Japan, which remain relatively low-resource. In this paper, we question the assumption of cross-lingual transferability from Classical Chinese to Hanja and Kanbun, the ancient written languages of Korea and Japan, respectively. Our experiments across machine translation, named entity recognition, and punctuation restoration tasks show minimal impact of Classical Chinese datasets on language model performance for ancient Korean documents written in Hanja, with performance differences within $\pm{}0.0068$ F1-score for sequence labeling tasks and up to $+0.84$ BLEU score for translation. These limitations persist consistently across various model sizes, architectures, and domain-specific datasets. Our analysis reveals that the benefits of Classical Chinese resources diminish rapidly as local language data increases for Hanja, while showing substantial improvements only in extremely low-resource scenarios for both Korean and Japanese historical documents. These findings emphasize the need for careful empirical validation rather than assuming benefits from indiscriminate cross-lingual transfer.
format Preprint
id arxiv_https___arxiv_org_abs_2411_04822
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents
Song, Seyoung
Yoo, Haneul
Jin, Jiho
Cho, Kyunghyun
Oh, Alice
Computation and Language
Historical documents in the Sinosphere are known to share common formats and practices, particularly in veritable records compiled by court historians. This shared linguistic heritage has led researchers to use Classical Chinese resources for cross-lingual transfer when processing historical documents from Korea and Japan, which remain relatively low-resource. In this paper, we question the assumption of cross-lingual transferability from Classical Chinese to Hanja and Kanbun, the ancient written languages of Korea and Japan, respectively. Our experiments across machine translation, named entity recognition, and punctuation restoration tasks show minimal impact of Classical Chinese datasets on language model performance for ancient Korean documents written in Hanja, with performance differences within $\pm{}0.0068$ F1-score for sequence labeling tasks and up to $+0.84$ BLEU score for translation. These limitations persist consistently across various model sizes, architectures, and domain-specific datasets. Our analysis reveals that the benefits of Classical Chinese resources diminish rapidly as local language data increases for Hanja, while showing substantial improvements only in extremely low-resource scenarios for both Korean and Japanese historical documents. These findings emphasize the need for careful empirical validation rather than assuming benefits from indiscriminate cross-lingual transfer.
title Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents
topic Computation and Language
url https://arxiv.org/abs/2411.04822