Hélène Bonneau-Maynard

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The aim of the MEDIA-EVALDA project is to evaluate the understanding capabilities of dialog systems. This paper presents the MEDIA protocol for speech understanding evaluation and describes the results of the June 2005 literal evaluation campaign. Five systems, both symbolic or corpus-based participated to the evaluation which is based on a common semantic(More)
One central goal of the AMITIÉS multilingual humancomputer dialogue project is to create a dialogue management system capable of engaging the user in human-like conversation in a specific domain. To that end, we have developed new methods for the manual annotation of spoken dialogue transcriptions from European financial call centers. We have modified the(More)
In this paper we present our recent activities in developing systems for vocal access to a database information retrieval system, for three applications in a travel domain: l'Atis, Mask and RailTel. The aim of this work is to use spoken language to provide a user-friendly interface with the computer. The spoken language system integrates a speech recognizer(More)
This paper describes our statistical machine translation systems based on the Moses toolkit for the WMT08 shared task. We address the Europarl and News conditions for the following language pairs: English with French, German and Spanish. For Europarl, n-best rescoring is performed using an enhanced n-gram or a neuronal language model; for the News(More)
This paper relates some of our experiments on the possibility of predictive performance measures of dialog systems. Experimenting dialog systems is often a very high cost procedure due to the necessity to carry out user trials. Obviously it is advantageous when evaluation can be carried out automatically. It would be helpfull if for each application we were(More)
This paper presents and reports on the progress of the EVALDA/MEDIA project, focusing on the recording and annotating protocol of the reference dialogue corpus. The aim of this project is to design and test an evaluation methodology to compare and diagnose the context-dependent and independent understanding capability of spoken language dialogue systems.(More)
This paper describes recent work aimed at relating multi-level dialog annotations with meta-data annotations for a corpus of real humanhuman dialogs. This work is carried out in the context of the AMITIES project in which spoken dialog systems for call center services are being developed. A corpus of 100 agent-client dialogs have been annotated with three(More)
In this paper, we present two methods to use a noisy parallel news corpus to improve statistical machine translation (SMT) systems. Taking full advantage of the characteristics of our corpus and of existing resources, we use a bootstrapping strategy, whereby an existing SMT engine is used both to detect parallel sentences in comparable data and to provide(More)