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

Amika Achom; Partha Pakray; Alexander Gelbukh

doi:10.1007/978-3-031-23793-5_25

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

Amika Achom, Partha Pakray, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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).

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers
Editors	Alexander Gelbukh
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	299-319
Number of pages	21
ISBN (Print)	9783031237928
DOIs	https://doi.org/10.1007/978-3-031-23793-5_25
State	Published - 2023
Event	19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018 - Hanoi, Viet Nam Duration: 18 Mar 2018 → 24 Mar 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13396 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018
Country/Territory	Viet Nam
City	Hanoi
Period	18/03/18 → 24/03/18

Keywords

Adequacy
Automatic-bilingual evaluation understudy score (BLEU)
English to manipuri parallel corpora
Human evaluation-fluency
Overall rating
Phrase based statistical machine translation

Access to Document

10.1007/978-3-031-23793-5_25

Cite this

Achom, A., Pakray, P., & Gelbukh, A. (2023). Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers (pp. 299-319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13396 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-23793-5_25

Achom, Amika ; Pakray, Partha ; Gelbukh, Alexander. / Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation. Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers. editor / Alexander Gelbukh. Springer Science and Business Media Deutschland GmbH, 2023. pp. 299-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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).",

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Achom, A, Pakray, P & Gelbukh, A 2023, Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13396 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 299-319, 19th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2018, Hanoi, Viet Nam, 18/03/18. https://doi.org/10.1007/978-3-031-23793-5_25

Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation. / Achom, Amika; Pakray, Partha; Gelbukh, Alexander.
Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers. ed. / Alexander Gelbukh. Springer Science and Business Media Deutschland GmbH, 2023. p. 299-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13396 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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).

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Achom A, Pakray P, Gelbukh A. Addressing the Issue of Unavailability of Parallel Corpus Incorporating Monolingual Corpus on PBSMT System for English-Manipuri Translation. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing - 19th International Conference, CICLing 2018, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 299-319. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-23793-5_25