ESR10
Examining the Relationship between Preordering and Word Order Freedom in Machine Translation
Daiber, J., Stanojević, M., Aziz, W. and Sima'an, K. (2016) Examining the Relationship between Preordering and Word Order Freedom in Machine Translation. In Proceedings of the First Conference on Machine Translation.
Universal Reordering via Linguistic Typology
Morphology induction using word embeddings
Submitted by c.orasan on Mon, 26/10/2015 - 10:38An implementation of mophology induction using word embeddings (Soricut, Radu, and Franz Och. "Unsupervised morphology induction using word embeddings." Proc. NAACL. 2015.)
https://github.com/jodaiber/vec2morph
Delimiting Morphosyntactic Search Space with Source-Side Reordering Models
Daiber, J. and Sima’an, K (2015). Delimiting Morphosyntactic Search Space with Source-Side Reordering Models. In Proceedings of the first Deep Machine Translation Workshop. Prague, Czech Republic.
Machine Translation with Source-Predicted Target Morphology
Daiber, J. and Sima’an, K (2015). Machine Translation with Source-Predicted Target Morphology. Proceedings of MT Summit XV. Miami, USA.
Morphology-Sensitive n-Best Preordering for Machine Translation
Semantic analogy-based compound splitter
Submitted by c.orasan on Thu, 22/10/2015 - 12:16A high-quality compound splitter based on the semantic regularities in the vector space of word embeddings. Initially, we provide models for German, but broader language support will be added in the coming releases.
More details can be found in:
Splitting Compounds by Semantic Analogy
Joachim Daiber, Lautaro Quiroz, Roger Wechsler and Stella Frank (2015) Splitting Compounds by Semantic Analogy. In Proceedings of the 1st Deep Machine Translation Workshop, Prague, Czech Republic, pp. 20 - 28