We present an approach for the cross-lingual induction of speech recognition grammars that separates the task of translation from the task of grammar generation. The source speech recognition grammar is used to generate phrases, which are translated by a common translation service. The target recognition grammar is induced by using the production rules of the source language, manually translate...

Abstract A challenge of large-scale oral communication assessments is to feasibly assess a broad construct that includes interactional competence. One possible approach in addressing this use spoken dialog system (SDS), with the computer acting as peer elicit ratable speech sample. With aim, an SDS was built and four trained human raters assessed discourse elicited from 40 test takers completed...

This paper describes recent advances we have made towards the goal of empowering end users to automatically expand the knowledge base of a dialogue system through spoken interaction, in order to personalize it to their individual needs. We describe techniques used to incrementally reconfigure a preloaded trained natural language grammar, as well as the lexicon and language models for the speech...

This paper describes recent advances we have made towards the goal of empowering end users to automatically expand the knowledge base of a dialogue system through spoken interaction, in order to personalize it to their individual needs. We describe techniques used to incrementally reconfigure a preloaded trained natural language grammar, as well as the lexicon and language models for the speech...

Childhood hearing loss presents challenges to language development, especially spoken language. In this article, we review existing literature on deaf and hard-of-hearing (DHH) children's patterns and trajectories of language as well as development of theory of mind and literacy. Individual trajectories vary significantly, reflecting access to early identification/intervention, advanced technol...

The syntactic component of a speech understanding system is described. The interface between acoustic recognition and syntax is sketched, and the set-up of the lexicon is outlined. The main aspects of the paper concern the ru/e format of the APSG (augmented phrase structure grammar), the syntactic concept for handling the sentence topology of German, and the treatment of discontinuous structure...

This paper presents a method for inferring reversible attribute grammars from tagged natural language sentences. Attribute grammars are a form of augmented context free grammar that assign "meaning" in the form of a data structure to a string in a context free language. The method presented in this paper has the ability to infer attribute grammars that can generate a wide range of useful data s...

The SAIL-GRS system is based on a widely used approach originating from information retrieval and document indexing, the TF -IDF measure. In this implementation for spoken dialogue system grammar induction, rule constituent frequency (CF ) and inverse rule frequency (IRF ) measures are used for estimating lexical and semantic similarity of candidate grammar rules to a seed set of rule pattern i...

One of the major goals of Spoken Dialog Systems (SDS) is to understand what the user utters. In the SDS domain, the Spoken Language Understanding (SLU) Module classifies user utterances by means of a pre-definite conceptual knowledge. The SLU module is able to recognize only the meaning previously included in its knowledge base. Due the vastity of that knowledge, the information storing is a ve...