Programmers tend to avoid using language tools, resorting to ad-hoc methods, because tools can be hard to use, their parsing strategies can be difficult to understand and debug, a...
The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technica...
This paper describes SYNAPSIS, a parser for performing real-time understanding of spoken utterances in a parallel computational environment. Understanding continuous speech allowi...
This paper presents a system which detects and corrects morpho-syntactic errors in Dutch texts. It includes a spelling corrector and a shift-reduce parser for Augmented Context-fr...
We describe an approach to training a statistical parser from a bracketed corpus, and demonstrate its use in a software testing application that translates English speci cations i...
We describe a practical parser for unrestricted dependencies. The parser creates links between words and names the links according to their syntactic functions. We first describe ...
Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a p...
We present an efficientmulti-levelchart parser that was designed forsyntacticanalysisofclosedcaptions (subtitles) in a real-time Machine Translation (MT) system. In order to achie...
We present two language models based upon an "immediate-head" parser -our name for a parser that conditions all events below a constituent c upon the head of c. While al...
Accurate dependency recovery has recently been reported for a number of wide-coverage statistical parsers using Combinatory Categorial Grammar (CCG). However, overall figures give...