Previous work has shown that large scale subcategorisation lexicons could be extracted from parsed corpora with reasonably high precision. In this paper, we apply a standard extra...
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
We show how LR parsers for the analysis of arbitrary context-free grammars can be derived from classical Earley's parsing algorithm. The result is a Generalized LR parsing al...
Miguel A. Alonso, David Cabrero, Manuel Vilares Fe...
Abstract. This paper introduces a novel approach to language processing, in which linguistic facts are represented as predicates over ranges of the intput text, usually, but not li...
This paper presents a study on the use of deep syntactical features to improve prosody modeling 1 . A French linguistic processing chain based on linguistic preprocessing, morphos...