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Most spoken language translation systems developed to date rely on a pipelined architecture, in which the main stages are speech recognition, linguistic analysis, transfer, generation and speech synthesis. When making projections of error rates for systems of this kind, it is natural to assume that the error rates for the individual components are independent, making the system accuracy the pro...

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. ...

In human-mediated translation scenarios, a human interpreter translates between a source and a target language using either a spoken or a written representation of the source language. In this work the recognition performance on the speech of the human translator spoken in the target language (English) is improved by taking advantage of the source language (Spanish) representations. For this, m...

This paper describes a phonological event parser for spoken language recognition which has been provided with a parametrisable development environment for examining the extent to which linguistically signi cant issues such as linguistic competence (structural constraints) and linguistic performance (robustness) can play a role in the spoken language recognition task. Ein phonologischer Ereignis...

This paper investigates the use of promptbased content features for the automated assessment of spontaneous speech in a spoken language proficiency assessment. The results show that single highest performing promptbased content feature measures the number of unique lexical types that overlap with the listening materials and are not contained in either the reading materials or a sample response,...