In this paper we use statistical machine translation and morphology information from two different morphological analyzers to try to improve translation quality by linguistically ...
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account...
Abstract. Temporal reference in natural language is inherently context dependent: what counts as a moment in one context may be structurally analysed in another context, and vice v...