UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AAFU6QPRT" target="_blank" >RIV/00216208:11320/25:AFU6QPRT - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204388477&partnerID=40&md5=4864740cdbe913ecd9b31db9e9ae9997" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204388477&partnerID=40&md5=4864740cdbe913ecd9b31db9e9ae9997</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic
Original language description
The IWSLT low-resource track encourages innovation in the field of speech translation, particularly in data-scarce conditions. This paper details our submission for the IWSLT 2024 low-resource track shared task for Maltese-English and North Levantine Arabic-English spoken language translation using an unconstrained pipeline approach. Using language models, we improve ASR performance by correcting the produced output. We present a 2 step approach for MT using data from external sources showing improvements over baseline systems. We also explore transliteration as a means to further augment MT data and exploit the cross-lingual similarities between Maltese and Arabic. ©2024 Association for Computational Linguistics.
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IWSLT - Int. Conf. Spok. Lang. Transl., Proc. Conf.
ISBN
979-889176141-4
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
145-155
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Hybrid, Bangkok
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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