Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms

Yin-Wen Chang, Michael Collins


Abstract
This paper describes an empirical study of the phrase-based decoding algorithm proposed by Chang and Collins (2017). The algorithm produces a translation by processing the source-language sentence in strictly left-to-right order, differing from commonly used approaches that build the target-language sentence in left-to-right order. Our results show that the new algorithm is competitive with Moses (Koehn et al., 2007) in terms of both speed and BLEU scores.
Anthology ID:
D17-1157
Volume:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1495–1499
Language:
URL:
https://aclanthology.org/D17-1157
DOI:
10.18653/v1/D17-1157
Bibkey:
Cite (ACL):
Yin-Wen Chang and Michael Collins. 2017. Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1495–1499, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms (Chang & Collins, EMNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/D17-1157.pdf