Quantifying the cross-linguistic effects of syncretism on agreement attraction

Utku Turk, Eva Neu


Abstract
Agreement attraction errors, in which a verb erroneously agrees with an intervening noun rather than its grammatical head, are amplified by morphological syncretism in some languages (English, German, Russian) but not others (Turkish, Armenian), a cross-linguistic pattern without a principled account. We use surprisal and attention entropy from large language models as processing proxies to investigate this variation across four languages. LLM-derived measures replicate behavioral findings in English and German (syncretism modulates attraction), align with Turkish null results (no modulation), and partially capture Russian patterns. We discuss further directions for better understanding why syncretism affects agreement attraction differently across languages.
Anthology ID:
2026.scil-main.16
Volume:
Proceedings of the Society for Computation in Linguistics 2026
Month:
July
Year:
2026
Address:
San Diego, CA
Editors:
Rob Voigt, Alex Warstadt, Naomi Feldman, Tal Linzen
Venues:
SCiL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
160–170
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.scil-main.16/
DOI:
Bibkey:
Cite (ACL):
Utku Turk and Eva Neu. 2026. Quantifying the cross-linguistic effects of syncretism on agreement attraction. In Proceedings of the Society for Computation in Linguistics 2026, pages 160–170, San Diego, CA. Association for Computational Linguistics.
Cite (Informal):
Quantifying the cross-linguistic effects of syncretism on agreement attraction (Turk & Neu, SCiL 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.scil-main.16.pdf