Recurrent neural network language model for English-Indonesian Machine Translation: Experimental study

Proceedings - 2015 International Conference on Science in Information Technology: Big Data Spectrum for Future Information Economy, ICSITech 2015

Volumn , Issue , 2016, Pages 132-136

  Hermanto, Andi ^a   Adji, Teguh Bharata ^a   Setiawan, Noor Akhmad ^a  

^a GADJAH MADA UNIVERSITY   (Indonesia)

Author keywords

language model; recurrent neural network; statistical machine translation

Indexed keywords

BIG DATA; COMPUTER AIDED LANGUAGE TRANSLATION; RECURRENT NEURAL NETWORKS; STATISTICS; TRANSLATION (LANGUAGES);

COMPUTATION PROCESS; LANGUAGE MODEL; MACHINE TRANSLATIONS; N-GRAM MODELING; RECURRENT NEURAL NETWORK (RNN); STATISTICAL MACHINE TRANSLATION; TWO WAYS; VALUE EVALUATIONS;

COMPUTATIONAL LINGUISTICS;

EID: 84966551182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSITech.2015.7407791     Document Type: Conference Paper

References (19)

1. I. Sutskever, O. Vinyals, and Q. V. Le, " Sequence to sequence learning with neural networks, " ArXiv Prepr. ArXiv14093215, 2014.
2. T. B. Adji, Y. Astuti, and S. S. Kusumawardani, " Statistical-based Machine Translation for Prepositional Phrase Using Link Grammar, " 2011.
3. H. Maruli Manurung and H. Tanuwijaya, " Penerjemahan Dokumen Inggris-Indoensia Menggunakan Mesin Penerjemah Statistik Dengan Word Reordering dan Phrase Reordering, " J. Ilmu Komput. Dan Inf., vol. 2, no. 1, pp. 17-24, 2012.
4. H. S. Simon and A. Purwarianti, " Experiments on Indonesian-Japanese statistical machine translation, " in Computational Intelligence and Cybernetics (CYBERNETICSCOM), 2013 IEEE International Conference on, 2013, pp. 80-84.
5. P. Koehn, " Machine Translation System User Manual and Code Guide, " 2011.
6. S. D. Larasati, " Towards an Indonesian-English SMT system: A case study of an under-studied and under-resourced language, Indonesian, " WDS?12 Proc. Contrib. Pap., vol. 1, pp. 123-129, 2012.
7. M. Khalilov, " N-gram model improvement for Statistical Machine Translation, " 2007.
8. C. Monz, " Statistical machine translation with local language models, " in Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2011, pp. 869-879.
9. J. Brunning, " Alignment Models and Algorithms for Statistical Machine Translation, " Camb. Camb. Univ. Eng. Dep. Jesus Coll., 2010.
10. J. Brunning, " Alignment Models and Algorithms for Statistical Machine Translation, " Camb. Camb. Univ. Eng. Dep. Jesus Coll., 2010.
11. M. Collins, " Statistical machine translation: IBM models 1 and 2, " Columbia Columbia Univ., 2011.
12. A. Gispert Ramis, Introducing linguistic knowledge into statistical machine translation. Universitat Politecnica de Catalunya, 2007.
13. F. J. Och and H. Ney, " The alignment template approach to statistical machine translation, " Comput. Linguist., vol. 30, no. 4, pp. 417-449, 2004.
14. T. Mikolov, M. Karafiát, L. Burget, J. Cernocky, and S. Khudanpur, " Recurrent neural network based language model., " in INTERSPEECH 2010, 11th Annual Conference of the International Speech Communication Association, Makuhari, Chiba, Japan, September 26-30, 2010, 2010, pp. 1045-1048.
15. T. Mikolov, S. Kombrink, A. Deoras, L. Burget, and J. Cernocky, " RNNLM-Recurrent neural network language modeling toolkit, " in Proc. of the 2011 ASRU Workshop, 2011, pp. 196-201.
16. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, " Learning representations by back-propagating errors, " Cogn. Model., vol. 5, p. 3, 1988.
17. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, " BLEU: a method for automatic evaluation of machine translation, " in Proceedings of the 40th annual meeting on association for computational linguistics, 2002, pp. 311-318.
18. T. Mikolov, A. Deoras, D. Povey, L. Burget, and J. Cernocky, " Strategies for training large scale neural network language models, " in Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on, 2011, pp. 196-201.
19. H. Isozaki, T. Hirao, K. Duh, K. Sudoh, and H. Tsukada, " Automatic evaluation of translation quality for distant language pairs, " in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010, pp. 944-952.