Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation

Amika Achom, Partha Pakray, Alexander Gelbukh

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Resumen

This research paper work establishes an important concept of improving Phrase based Statistical Machine Translation System incorporating monolingual corpus on the target side of the English to Manipuri translation language pair. However, there has been no work that focuses on translating one of the Indian Minority Tibeton-Burman Manipuri language pair. This Phrase based Statistical Machine Translation system has been developed using the Moses open-source toolkit and evaluated carefully using various automatic and human evaluation techniques. PBSMT achieves a BLEU Score of 10.15 as compared to the baseline PBSMT of BLEU Score 9.89 using the same training, tuning, and testing datasets. This research paper work addresses the issue of limited availability of parallel text corpora (English-Manipuri pair).

Idioma originalInglés
Título de la publicación alojadaComputational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers
EditoresAlexander Gelbukh
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas299-319
Número de páginas21
ISBN (versión impresa)9783031237928
DOI
EstadoPublicada - 2023
Evento19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018 - Hanoi, Vietnam
Duración: 18 mar. 201824 mar. 2018

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13396 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018
País/TerritorioVietnam
CiudadHanoi
Período18/03/1824/03/18

Huella

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