Low-Resource Text Style Transfer for Bangla: Data & Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475865" target="_blank" >RIV/00216208:11320/23:10475865 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.banglalp-1.5/" target="_blank" >https://aclanthology.org/2023.banglalp-1.5/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2023.banglalp-1.5" target="_blank" >10.18653/v1/2023.banglalp-1.5</a>
Alternative languages
Result language
angličtina
Original language name
Low-Resource Text Style Transfer for Bangla: Data & Models
Original language description
Text style transfer (TST) involves modifying the linguistic style of a given text while retaining its core content. This paper addresses the challenging task of text style transfer in the Bangla language, which is low-resourced in this area. We present a novel Bangla dataset that facilitates text sentiment transfer, a subtask of TST, enabling the transformation of positive sentiment sentences to negative and vice versa. To establish a high-quality base for further research, we refined and corrected an existing English dataset of 1,000 sentences for sentiment transfer based on Yelp reviews, and we introduce a new human-translated Bangla dataset that parallels its English counterpart. Furthermore, we offer multiple benchmark models that serve as a validation of the dataset and baseline for further research.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 First Workshop on Bangla Language Processing
ISBN
979-8-89176-058-5
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
34-47
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Singapore, Singapore
Event date
Dec 7, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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