Tímea Borbála Bajzát


2023

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Fly, fly little Comet! Exploring Subtoken-Level Metaphorical Patterns in Finnish and Hungarian Texts. New Results from the FiHuComet Corpus.
Tímea Borbála Bajzát
Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages

The FiHuComet Corpus was created to address the gap in the lack of a systematic comparison of metaphor research in Finnish and Hungarian (Bajzát and Simon, 2023). This study aims to: (i) expand the existing quasi-parallel corpus; (ii) explore subtoken-level metaphorical patterns comparatively in the examined languages with rich morphology. The analysis employs a MIPVU-inspired protocol for metaphor identification, the MetaID protocol (Simon et al., 2023). Although this endeavor is not new, the comparative study conducted on a small-scale corpus has only revealed a few aspects of the potential of comparative metaphor analysis in the context of Finno-Ugric languages selected.

2022

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ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry
Péter Horváth | Péter Kundráth | Balázs Indig | Zsófia Fellegi | Eszter Szlávich | Tímea Borbála Bajzát | Zsófia Sárközi-Lindner | Bence Vida | Aslihan Karabulut | Mária Timári | Gábor Palkó
Proceedings of the Thirteenth Language Resources and Evaluation Conference

ELTE Poetry Corpus is a database that stores canonical Hungarian poetry with automatically generated annotations of the poems’ structural units, grammatical features and sound devices, i.e. rhyme patterns, rhyme pairs, rhythm, alliterations and the main phonological features of words. The corpus has an open access online query tool with several search functions. The paper presents the main stages of the annotation process and the tools used for each stage. The TEI XML format of the different versions of the corpus, each of which contains an increasing number of annotation layers, is presented as well. We have also specified our own XML format for the corpus, slightly different from TEI, in order to make it easier and faster to execute queries on the corpus. We discuss the results of a manual evaluation of the quality of automatic annotation of rhythm, as well as the results of an automatic evaluation of different rule sets used for the automatic annotation of rhyme patterns. Finally, the paper gives an overview of the main functions of the online query tool developed for the corpus.