Autores
Gelbukh Alexander
Título Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation
Tipo Congreso
Sub-tipo Memoria
Descripción 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018
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). © 2023, Springer Nature Switzerland AG.
Observaciones DOI 10.1007/978-3-031-23793-5_25 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13396
Lugar Hanoi
País Vietnam
No. de páginas 299-319
Vol. / Cap. 13396 LNCS
Inicio 2018-03-18
Fin 2018-03-24
ISBN/ISSN