Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi and Nepali
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10456922" target="_blank" >RIV/00216208:11320/22:10456922 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.sigmorphon-1.pdf" target="_blank" >https://aclanthology.org/2022.sigmorphon-1.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi and Nepali
Original language description
Word embeddings are growing to be a crucial resource in the field of NLP for any language. This work introduces a novel technique for static subword embeddings transfer for Indic languages from a relatively higher resource language to a genealogically related low resource language. We primarily work with Hindi-Marathi, simulating a low-resource scenario for Marathi, and confirm observed trends on Nepali. We demonstrate the consistent benefits of unsupervised morphemic segmentation on both source and target sides over the treatment performed by fastText. Our best-performing approach uses an EM-style approach to learning bilingual subword embeddings; we also show, for the first time, that a trivial "copy- and-paste" embeddings transfer based on even perfect bilingual lexicons is inadequate in capturing language-specific relationships. We find that our approach substantially outperforms the fastText baselines for both Marathi and Nepali on the Word Similarity task as well as WordNet-Based Synonymy Tests;
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
ISBN
978-1-955917-82-7
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
61-71
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Seattle, WA, USA
Event date
Jul 14, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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