CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427085" target="_blank" >RIV/00216208:11320/19:10427085 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W19-4204" target="_blank" >https://www.aclweb.org/anthology/W19-4204</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CBNU System for SIGMORPHON 2019 Shared Task 2: a Pipeline Model
Original language description
In this paper we describe our system for morphological analysis and lemmatization in context, using a transformer-based sequence to sequence model and a biaffine attention based BiLSTM model. First, a lemma is produced for a given word, and then both the lemma and the given word are used for morphological analysis. We also make use of character level word encodings and trainable encodings to improve accuracy. Overall, our system ranked fifth in lemmatization and sixth in morphological accuracy among twelve systems, and demonstrated considerable improvements over the baseline in morphological analysis.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů