Dyer, Andrew; Betul Bahceci, Ruveyda; Rajestari, Maryam; Rouvalis, Andreas; Singhal, Aarushi; Stodolinska, Yuliya; Asma Umniyati, Syahidah; Rodrigues Menezes de Oliveira Vaz, Helena
A Multilingual Parallel Corpus for Coreference Resolution and Information Status in the Literary Domain
Dakota, Daniel; Jablotschkin, Sarah; Kübler, Sandra; Zinsmeister, Heike (Ed.): Proceedings of the 22nd Workshop on Treebanks and Linguistic Theories (TLT 2024), Association for Computational Linguistics, pp. 55-64, Hamburg, Germany, 2024.
Information status — the newness or givenness of referents in discourse — is known to affect the production of language at many different levels. At the morphosyntactic level, information status gives rise to special words orders, elisions, and other phenomena that challenge the notion that morphosyntax can be considered independent of discourse context. Though there are many language-specific corpora annotated for information status and its related phenomena, coreference and anaphora resolution, what is not available at present is a cross-lingually consistently annotated corpus or annotation scheme that would allow for comparativestudy of these phenomena across many diverse languages. In this paper we present our work to build such a resource. We are annotating a parsed, parallel corpus of prose in many languages for information status and coreference resolution, so that like-for-like cross-lingual comparisons can be made at the intersection of discourse and syntax. Our corpus can and will be used both for corpus analysis and for model training.