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tra Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text. In this paper, we propose a method to per- form domain adaptation for …...

We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to another. We propose quasi- …...

This work shows how to improve state-of-the-art monolingual natural language processing models using unannotated bilingual text. We build a mul- tiview learning objective that enforces agreement between monolingual and bilingual …...

Discriminative training for machine transla- tion has been well studied in the recent past. A limitation of the work to date is that it relies on the availability of high-quality …...

AbstractResearch in machine translation (MT) is developing at a rapid pace. However, most work in the community has focused on languages where large amounts of digital resources are available. In …...