Přehled o publikaci
2023
MUNI-NLP Systems for Low-resource Indic Machine Translation
SIGNORONI, Edoardo and Pavel RYCHLÝBasic information
Original name
MUNI-NLP Systems for Low-resource Indic Machine Translation
Authors
SIGNORONI, Edoardo and Pavel RYCHLÝ
Edition
Singapore, Proceedings of the Eighth Conference on Machine Translation, p. 959-966, 8 pp. 2023
Publisher
Association for Computational Linguistics
Other information
Language
English
Type of outcome
Proceedings paper
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
References:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14330/23:00138713
Organization
Fakulta informatiky – Repository – Repository
ISBN
979-8-89176-041-7
EID Scopus
Keywords in English
low-resource;machine translation;NLP
Links
LM2023062, research and development project.
Changed: 31/7/2025 00:50, RNDr. Daniel Jakubík
Abstract
In the original language
The WMT 2023 Shared Task on Low-Resource Indic Language Translation featured to and from Assamese, Khasi, Manipuri, Mizo on one side and English on the other. We submitted systems supervised neural machine translation systems for each pair and direction and experimented with different configurations and settings for both preprocessing and training. Even if most of them did not reach competitive performance, our experiments uncovered some interesting points for further investigation, namely the relation between dataset and model size, and the impact of the training framework. Moreover, the results of some of our preliminary experiments on the use of word embeddings initialization, backtranslation, and model depth were in contrast with previous work. The final results also show some disagreement in the automated metrics employed in the evaluation.