Abstract
This paper presents a reordering framework for statistical machine translation (SMT) where source-side reorderings are integrated into SMT decoding, allowing for a highly constrained reordered search graph. The monotone search is extended by means of a set of reordering patterns (linguistically motivated rewrite patterns). Patterns are automatically learnt in training from word-to-word alignments and source-side Part-Of-Speech (POS) tags. Traversing the extended search graph, the decoder evaluates every hypothesis making use of a group of widely used SMT models and helped by an additional Ngram language model of source-side POS tags. Experiments are reported on the Euparl task (Spanish-to-English and English-to- Spanish). Results are presented regarding translation accuracy (using human and automatic evaluations) and computational efficiency, showing significant improvements in translation quality for both translation directions at a very low computational cost.- Anthology ID:
- 2006.amta-papers.4
- Volume:
- Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers
- Month:
- August 8-12
- Year:
- 2006
- Address:
- Cambridge, Massachusetts, USA
- Venue:
- AMTA
- SIG:
- Publisher:
- Association for Machine Translation in the Americas
- Note:
- Pages:
- 29–36
- Language:
- URL:
- https://aclanthology.org/2006.amta-papers.4
- DOI:
- Cite (ACL):
- Josep M. Crego and José B. Mariño. 2006. Integration of POStag-based Source Reordering into SMT Decoding by an Extended Search Graph. In Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 29–36, Cambridge, Massachusetts, USA. Association for Machine Translation in the Americas.
- Cite (Informal):
- Integration of POStag-based Source Reordering into SMT Decoding by an Extended Search Graph (Crego & Mariño, AMTA 2006)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2006.amta-papers.4.pdf