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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/D17-1157.pdf