In this paper, we describe a novel approach to spoken language analysis for translation, which uses a combination of grammar-based phrase-level parsing and automatic classification. The job of the analyzer is to produce a shallow semantic interlingua representation for spoken task-oriented utterances. The goal of our hybrid approach is to provide accurate real-time analyses while improving robu...

The paper presents a novel approach, integrating layer concept information into the trigram language model, to improve the understanding accuracy for spoken dialogue systems. With this approach, both the recognition accuracy and out-of-grammar problem can be largely improved. The concept error rate is therefore reduced. In the experiment using a real-world airticket information spoken dialogue ...

Object ive To construct a data base (the "Penn Treebank') of written and transcribed spoken American English annotated with detailed grammatical structure. This data base will serve as a national resource, providing training material for a wide variety of approaches to automatic language acquisition, a rei~rence standard for the rigorous evaluation of some components of natural language underst...

This paper describes a robust parsing algorithm for spoken language understanding. Comparing with the other work in robust parsing, we focus on building a parser that is robust to not only ill-formed spontaneous spoken language inputs but also under-specified grammars. Preliminary experiment results show that the parsing performance deteriorates more gracefully than another parser we have used ...

The present paper describes the linguistic components of a platform for building spoken language dialogue systems. The platform is being designed and implemented within the EU-language engineering project REWARD. The linguistic components mainly consist of a suite of general unification based natural language processing utilities and a window based Sub Grammar Design Tool which provides non-exp...

Our work addresses the integration of speech recognition and natural language processing for spoken dialogue systems. To deal with recognition errors, we investigate two repairing strategies integrated in a parsing based on a Lexicalized Tree Grammar. The rst strategy takes its root in the recognition hypothesis, the other in the linguistic expectations. We expose a formal framework to express ...

This paper describes the current state of work on unification-based semantic interpretation in HARC (for Hear and Recognize Continous speech) the BBN Spoken Language System. It presents the implementation of an integrated syntax/semantics grammar written in a unification formalism similar to Definite Clause Grammar. This formalism is described, and its use in solving a number of semantic interp...

In this paper we present the design and the implement of the language understanding component of a Chinese spoken language dialogue system EasyNav . In pursuing the coherence with the goal of understanding, we design the structure of system with speech decoding and language understanding integrated closely. Thus the language understanding component need to be restrictive besides portable. Actua...

Educational tools are essential in teaching the field of Spoken Dialogue Systems given the complexity and variety of disciplines involved. This paper describes DUDE, a Dialogue and Understanding Development Environment that enables researchers and students to efficiently create Information State Update (ISU) Spoken Dialogue Systems using large scale databases with minimal programming and gramma...

In this paper, I describe a novel approach to analysis for spoken language translation which uses a combination of phrase-level grammar-based parsing and automatic classification. The job of the analyzer is to transform spoken taskoriented utterances into a shallow semantic interlingua representation. The goal of this hybrid approach is to provide accurate real-time analyses and to improve robu...