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        <title>Verbal Multiword Expressions in the Croatian Verb Lexicon</title>
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            <publisher>Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences</publisher>
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    <abstract>The paper examines the complexities of encoding verbal multiword expressions in the Croatian verb lexicon. The lexicon incorporates a verb’s description at the syntactic, morphological, and semantic levels. This study explores the treatment of reflexive verbs, light verb constructions, and verbal idioms across several Croatian and Slavic language resources to find the best solution for the verb lexicon. It addresses the following research questions: 1. How should reflexive verbs, i.e., verbs with the reflexive marker se, be treated? Should they be considered as separate lemmas, sublemmas of non-reflexive counterparts, or as one of their senses? 2. What syntactic label and semantic role should be assigned to a predicative noun in light verb constructions? 3. Should verbal idioms be included, and, if so, at which level of a description? Our conclusion is that all reflexive verbs should be treated as separate lemmas since they are distinct lexemes that have undergone semantic and syntactic change. To differentiate between a semantically full verb and a light verb, we have introduced the label LV and decided not to assign a semantic role to a predicative noun. By including verbal idioms and their translation into English, non-native users can benefit from the lexicon. The aim is to enhance the verb lexicon for the more effective description and recognition of verbal multiword expressions.</abstract>
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%0 Conference Proceedings
%T Verbal Multiword Expressions in the Croatian Verb Lexicon
%A Brač, Ivana
%A Birtić, Matea
%S Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)
%D 2024
%8 September
%I Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
%C Sofia, Bulgaria
%F brac-birtic-2024-verbal
%X The paper examines the complexities of encoding verbal multiword expressions in the Croatian verb lexicon. The lexicon incorporates a verb’s description at the syntactic, morphological, and semantic levels. This study explores the treatment of reflexive verbs, light verb constructions, and verbal idioms across several Croatian and Slavic language resources to find the best solution for the verb lexicon. It addresses the following research questions: 1. How should reflexive verbs, i.e., verbs with the reflexive marker se, be treated? Should they be considered as separate lemmas, sublemmas of non-reflexive counterparts, or as one of their senses? 2. What syntactic label and semantic role should be assigned to a predicative noun in light verb constructions? 3. Should verbal idioms be included, and, if so, at which level of a description? Our conclusion is that all reflexive verbs should be treated as separate lemmas since they are distinct lexemes that have undergone semantic and syntactic change. To differentiate between a semantically full verb and a light verb, we have introduced the label LV and decided not to assign a semantic role to a predicative noun. By including verbal idioms and their translation into English, non-native users can benefit from the lexicon. The aim is to enhance the verb lexicon for the more effective description and recognition of verbal multiword expressions.
%U https://aclanthology.org/2024.clib-1.13
%P 130-139

Markdown (Informal)

[Verbal Multiword Expressions in the Croatian Verb Lexicon](https://aclanthology.org/2024.clib-1.13) (Brač & Birtić, CLIB 2024)

• Verbal Multiword Expressions in the Croatian Verb Lexicon (Brač & Birtić, CLIB 2024)

ACL

• Ivana Brač and Matea Birtić. 2024. Verbal Multiword Expressions in the Croatian Verb Lexicon. In Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024), pages 130–139, Sofia, Bulgaria. Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences.