PHRASE ALIGNMENTS IN PARALLEL CORPUS USING BOOTSTRAPPING APPROACH

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TAVAKOLI LEILA; FAILI HESHAAM

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Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2014 | Volume:6 | Issue:3 Page(s): 63-76

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Title

PHRASE ALIGNMENTS IN PARALLEL CORPUS USING BOOTSTRAPPING APPROACH

Author(s)

TAVAKOLI LEILA | FAILI HESHAAM | Issue Writer Certificate

Keywords

PHRASE-BASED SMT

SCARCE TRAINING CORPUS

LOG-LINEAR MODELS

MAXIMUM ENTROPY

BOOTSTRAPPING APPROACH

FERTILITY

Abstract

Word choice and word order problems are considered as fundamental barriers in statistical machine translation (SMT). These barriers are more pronounced in deficiencies of training corpus. PHRASE-BASED SMT has advantages in word choice and local word ordering process; so phrase alignment is effective in improving translation quality. In this paper, an approach for automatic alignment is proposed in which boosts up the machine translation quality. Since, alignment problem is more problematic with lack of training data, so we make corpus of phrase alignment with high precision. For this purpose, a novel phrase alignment approach in a bootstrapping manner is proposed. By bootstrapping on alignment model via using a number of features, the accuracy of the phrase table is improved iteratively. These features are based on the phrase table extracted from Moses, IBM Model 3 alignment probabilities, Google translator and FERTILITY of candidates. Our experiments on English-Persian translation show an improvement about 4.17 BLEU points over the PB-SMT as baseline system.

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APA: Copy

TAVAKOLI, LEILA, & FAILI, HESHAAM. (2014). PHRASE ALIGNMENTS IN PARALLEL CORPUS USING BOOTSTRAPPING APPROACH. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, 6(3), 63-76. SID. https://sid.ir/paper/315130/en

Vancouver: Copy

TAVAKOLI LEILA, FAILI HESHAAM. PHRASE ALIGNMENTS IN PARALLEL CORPUS USING BOOTSTRAPPING APPROACH. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH[Internet]. 2014;6(3):63-76. Available from: https://sid.ir/paper/315130/en

IEEE: Copy

LEILA TAVAKOLI, and HESHAAM FAILI, “PHRASE ALIGNMENTS IN PARALLEL CORPUS USING BOOTSTRAPPING APPROACH,” INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, vol. 6, no. 3, pp. 63–76, 2014, [Online]. Available: https://sid.ir/paper/315130/en

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