Evaluating the Morphosyntactic Well-formedness of Generated Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10442280" target="_blank" >RIV/00216208:11320/21:10442280 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evaluating the Morphosyntactic Well-formedness of Generated Texts
Original language description
Text generation systems are ubiquitous in natural language processing applications. However, evaluation of these systems remains a challenge, especially in multilingual settings. In this paper, we propose L'AMBRE - a metric to evaluate the morphosyntactic well-formedness of text using its dependency parse and morphosyntactic rules of the language. We present a way to automatically extract various rules governing morphosyntax directly from dependency treebanks. To tackle the noisy outputs from text generation systems, we propose a simple methodology to train robust parsers. We show the effectiveness of our metric on the task of machine translation through a diachronic study of systems translating into morphologically-rich languages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
ISBN
978-1-955917-09-4
ISSN
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e-ISSN
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Number of pages
20
Pages from-to
7131-7150
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg
Event location
Punta Cana
Event date
Nov 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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