@inproceedings{060712a48b964ee99467e8c9cd99d917,
title = "Computational Methods for the Analysis of Complementizer Variability in Language and Literature: The Case of Hebrew {\v s}e-and ki",
abstract = "We demonstrate a computational method for analyzing complementizer variability within language and literature, focusing on Hebrew as a test case.The primary complementizers in Hebrew are {\v s}e- and ki.We first run a large-scale corpus analysis to determine the relative preference for one or the other of these complementizers given the preceding verb.On top of this foundation, we leverage clustering methods to measure the degree of interchangeability between the complementizers for each verb.The resulting tables, which provide this information for all common complement-taking verbs in Hebrew, are a first-of-its-kind lexical resource which we provide to the NLP community.Upon this foundation, we demonstrate a computational method to analyze literary works for unusual and unexpected complementizer usages deserving of literary analysis.",
author = "Avi Shmidman and Aynat Rubinstein",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 4th International Conference on Natural Language Processing for Digital Humanities, NLP4DH 2024 ; Conference date: 16-11-2024",
year = "2024",
language = "الإنجليزيّة",
series = "NLP4DH 2024 - 4th International Conference on Natural Language Processing for Digital Humanities, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "294--307",
editor = "Mika Hamalainen and Emily Ohman and So Miyagawa and Khalid Alnajjar and Yuri Bizzoni",
booktitle = "NLP4DH 2024 - 4th International Conference on Natural Language Processing for Digital Humanities, Proceedings of the Conference",
address = "الولايات المتّحدة",
}