We present the spoken dialogue system designed and implemented for Virtual Advisers in the FOCAL environment. Its architecture is based on: Dialogue Agents using propositional attitudes, a Natural Language Understanding component using typed unification grammar, and a commercial speaker-independent speech recognition system. The current application aims to facilitate the multimedia presentation...

Introduct ion This paper describes our results on a spoken language application for finding directions. The spoken language system consists of the MIT SUMMIT speech recognition system ([20]) loosely coupled to the UNISYS PUNDIT language understanding system ([9]) with SUMMIT providing the top N candidates (based on acoustic score) to the P U N D I T system. The direction finding capability is p...

ÐThis paper describes a methodology for semiautomatic grammar induction from unannotated corpora of information-seeking queries in a restricted domain. The grammar contains both semantic and syntactic structures, which are conducive to (spoken) natural language understanding. Our work aims to ameliorate the reliance of grammar development on expert handcrafting or on the availability of annotat...

To understand the status of life messages in Tamil grammar, information on studies premarital relationships and female chastity through Agatthinai constitutes best data this article. In grammatical texts, there is an abundance love-theme (Agapporul) subject areas. Literature involves grammar within itself. Grammar texts are interpreted as describing nature literary material. Literary principles...

Abstract Nuclear stress (or sentence stress) as a prosodic feature marks information flow in spoken English, and has received some treatment the linguistics literature, most notably pragmatics, but less so newer phonological paradigms. Current theories might shed light on this feature, such Optimality Theory (OT) cognitive grammar (CG). This paper compares potential insights likely predictions ...

1. I N T R O D U C T I O N One of the main problems with very-large-vocabulary continuous speech recognition is how to accurately and efficiently reduce the search space without pruning the correct candidate. Our speech recognition system is based on the HMM-LR algorithm [1] which utilizes a generalized LR parser [2] as a language model and hidden Markov models (HMMs) as phoneme models. Applyin...

Quality of Telephone-Based Spoken Dialogue Systems. Quality of Human-Machine Interaction over the Phone.Quality prediction models for telephone-based spoken dialogue systems. Perform to guarantee an acceptable overall quality for the user. In order to.action HHI as one reference for telephonebased humanmachine interaction HMI. The quality of interactions with spoken dialogue systems is difficul...

This paper describes the development and application of a subphonetic segment recognition system for spoken document retrieval. Following from the development of an open-vocabulary spoken document retrieval system, where the retrieval process is accomplished in the symbolic domain by measuring the distance between the parts of subphonetic segment results from pattern recognition in the acoustic...

This paper presents Delphi, the natural language component of the BBN Spoken Language System. Delphi is a domainindependent natural language question answering system that is solidly based on linguistic principles, yet which is also robust to ungrammatical input. It includes a domain-independent, broad-coverage grammar of English. Analysis components include an agenda-based best-first parser an...

Diagnostic evaluation is an important instrument for the development of high quality spoken language dialogue systems. Yet no rigorous methodology exists for the systematic and exhaustive diagnostic evaluation of all aspects of spoken language interaction: recognition, synthesis, grammar , vocabulary, dialogue etc. The paper addresses part of this problem by presenting a methodology for the dia...