Neuronové modely pro vícejazyčnou inflexi
Thesis title in Czech: | Neuronové modely pro vícejazyčnou inflexi |
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Thesis title in English: | Neural Models for Multilingual Inflection |
Academic year of topic announcement: | 2023/2024 |
Thesis type: | diploma thesis |
Thesis language: | |
Department: | Institute of Formal and Applied Linguistics (32-UFAL) |
Supervisor: | RNDr. Jana Straková, Ph.D. |
Author: | hidden![]() |
Date of registration: | 05.02.2024 |
Date of assignment: | 05.02.2024 |
Confirmed by Study dept. on: | 05.02.2024 |
Guidelines |
Automatic inflection, a process of word formation in which a base word form (lemma) is modified to express grammatical categories, is a useful and researched task. The aim of this thesis is to research supervised deep learning models for automatic inflection in multiple languages. The focus of the experiments is multilinguality and potential future deployment in an open-source tool or webservice.
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References |
Goldman et al. (2023): SIGMORPHON–UniMorph 2023 Shared Task 0: Typologically Diverse Morphological Inflection
Kodner et al. (2022): SIGMORPHON–UniMorph 2022 Shared Task 0: Generalization and Typologically Diverse Morphological Inflection Tiago Pimentel et al. (2021): SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages Nivre et al. (2020): Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection Arya D. McCarthy (2020): UniMorph 3.0: Universal Morphology |