Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment

Risa Kondo, Seiji Sugiyama, Tomoyuki Kajiwara, Takashi Ninomiya


Abstract
We utilize neural word alignment to improve the quality of paraphrase databases in English and Japanese. For large-scale paraphrase acquisition, previous studies have employed a framework of bilingual pivoting based on word alignment on bilingual parallel corpora. Naturally, the quality of paraphrases acquired by bilingual pivoting depends on the performance of word alignment. Previous studies based on statistical word alignment have limitations in the quality of acquired paraphrases because they do not consider word meaning. This study employs a more sophisticated neural approach for word alignment in bilingual pivoting to enhance the quality of paraphrase acquisition. Experimental results revealed that our paraphrase databases outperformed existing ones in both internal and external evaluations.
Anthology ID:
2026.slide-1.14
Volume:
Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
Month:
May
Year:
2026
Address:
Palma de Mallorca, Spain
Editors:
Erhard Hinrichs, Joakim Nivre, Petya Osenova, James Pustejovsky, Claus Zinn
Venues:
SLiDE | WS
SIG:
Publisher:
ELRA Language Resources Association (ELRA)
Note:
Pages:
160–168
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-slide-14
DOI:
10.63317/2n2z2ofgsnsd
Bibkey:
Cite (ACL):
Risa Kondo, Seiji Sugiyama, Tomoyuki Kajiwara, and Takashi Ninomiya. 2026. Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment. In Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE), pages 160–168, Palma de Mallorca, Spain. ELRA Language Resources Association (ELRA).
Cite (Informal):
Paraphrase Acquisition via Bilingual Pivoting Based on Neural Word Alignment (Kondo et al., SLiDE 2026)
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