Tree-to-string translation rules are widely used in linguistically syntax-based statistical machine translation systems. In this paper, we propose to use deep syntactic informatio...
A central problem in historical linguistics is the identification of historically related cognate words. We present a generative phylogenetic model for automatically inducing cogn...
Statistical translation models that try to capture the recursive structure of language have been widely adopted over the last few years. These models make use of varying amounts o...
This paper presents a supervised approach for identifying generic noun phrases in context. Generic statements express rulelike knowledge about kinds or events. Therefore, their id...
We present a novel method to improve word alignment quality and eventually the translation performance by producing and combining complementary word alignments for low-resource la...