The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general...
The lexical acquisition system presented in this paper incrementallyupdates linguisticproperties of unknown words inferred from their surrounding context by parsing sentences with...
Wc develop a l)ata-Oricntcd Parsing (DOP) model based on the syntactic representations of Lexicalf;unctional Grammar (LFG). We start by summarizing the original DOP model for tree...
We show how the DOP model can be used for fast and robust processing of spoken input in a practical spoken dialogue system called OVIS. OVIS, Openbaar Vervoer Informatie Systeem (...
This paper proposes an automatic method of detecting grammar elements that decrease readability in a Japanese sentence. The method consists of two components: (1) the check list o...
This paper describes our preliminary attempt to automatically recognize zero adnominals, a subgroup of zero pronouns, in Japanese discourse. Based on the corpus study, we define a...
We have developed willex, a tool that helps grammar developers to work efficiently by using annotated corpora and recording parsing errors. Willex has two major new functions. Fi...
We describe iNeATS – an interactive multi-document summarization system that integrates a state-of-the-art summarization engine with an advanced user interface. Three main goals...
We demonstrate a text to sign language translation system for investigating sign language (SL) structure and assisting in production of sign narratives and informa
This position paper argues for an interactive approach to text understanding. The proposed model extends an existing semantics-based text authoring system by using the input text ...