Automatically detecting dialogue structure within corpora of human-human dialogue is the subject of increasing attention. In the domain of tutorial dialogue, automatic discovery of dialogue structure is of particular interest because these structures inherently represent tutorial strategies or modes, the study of which is key to the design of intelligent tutoring systems that communicate with l...

This paper investigates several approaches to bootstrapping a new spoken language understanding (SLU) component in a target language given a large dataset of semantically-annotated utterances in some other source language. The aim is to reduce the cost associated with porting a spoken dialogue system from one language to another by minimising the amount of data required in the target language. ...

this study investigated the effect of oral dialogue journals on communicative competence of iranian efl learners. participants of this study were 80 students of two payam-e-noor universities who were proved to be homogenous in the communicative competence based on tse (test of spoken english) interview. the participants of one of these universities were considered as the experimental group. the...

drawing on henri meschonnic’s notion of an “inscient ethics,” and putting “inscience” into dialogue with the old ideal of a “science” of translation, the article explores the collective socio-affective ecologies that organize and regulate social and professional norms and values of translation below the level of conscious awareness—as the true underlying structure not only of “subjectivity” (so...

This paper proposes an approach to improve speech understanding based on rescoring of N-best semantic hypotheses. In rescoring, probabilities produced by an understanding component are combined with additional probabilities derived from system beliefs. While a normal rescoring approach is to multiply or linearly interpolate with belief probabilities, this paper shows that probabilities from var...

Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. A layered concept structure is proposed to represent knowledge associated with each word in a "sp...

The purpose of this paper is to show that with a combination of state of art technologies it is possible to realize effective and powerful dialogue systems for Information-Seeking applications. TAMIC-P, a prototype natural language based interface will be described. The system is designed to support Public Administration desk operators during an information session with a citizen. Three aspects...