Syntactic Skeleton-Based Translation

Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu

AAAI 2016 pp. 2856-2862

doi:10.1609/AAAI.V30I1.10343 /aaai/2016/xiao2016aaai-syntactic/

Abstract

In this paper we propose an approach to modeling syntactically-motivated skeletal structure of source sentence for machine translation. This model allows for application of high-level syntactic transfer rules and low-level non-syntactic rules. It thus involves fully syntactic, non-syntactic, and partially syntactic derivations via a single grammar and decoding paradigm. On large-scale Chinese-English and English-Chinese translation tasks, we obtain an average improvement of +0.9 BLEU across the newswire and web genres.

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Cite

Text

Xiao et al. "Syntactic Skeleton-Based Translation." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.10343

Markdown

[Xiao et al. "Syntactic Skeleton-Based Translation." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/xiao2016aaai-syntactic/) doi:10.1609/AAAI.V30I1.10343

BibTeX

@inproceedings{xiao2016aaai-syntactic,
  title     = {{Syntactic Skeleton-Based Translation}},
  author    = {Xiao, Tong and Zhu, Jingbo and Zhang, Chunliang and Liu, Tongran},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {2856-2862},
  doi       = {10.1609/AAAI.V30I1.10343},
  url       = {https://mlanthology.org/aaai/2016/xiao2016aaai-syntactic/}
}