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Evelyne Tzoukermann
Researcher at Bell Labs
Publications - 42
Citations - 1282
Evelyne Tzoukermann is an academic researcher from Bell Labs. The author has contributed to research in topics: Part of speech & Speech synthesis. The author has an hindex of 19, co-authored 41 publications receiving 1264 citations. Previous affiliations of Evelyne Tzoukermann include Massachusetts Institute of Technology & Alcatel-Lucent.
Papers
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Proceedings ArticleDOI
Multi-site data collection and evaluation in spoken language understanding
Lynette Hirschman,M. Bates,Deborah A. Dahl,W. Fisher,J. Garofolo,D. Pallett,K. Hunicke-Smith,Patti Price,Alexander I. Rudnicky,Evelyne Tzoukermann +9 more
TL;DR: This work focuses here on selection of training and test data, evaluation of language understanding, and the continuing search for evaluation methods that will correlate well with expected performance of the technology in applications.
Book ChapterDOI
NLP for Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax
TL;DR: A natural language processing (NLP) approach to automatic indexing over controlled vocabulary which accounts for term variation is presented, applied to the French language.
Proceedings ArticleDOI
A speech understanding system based on statistical representation of semantics
Roberto Pieraccini,Evelyne Tzoukermann,Zakhar Gorelov,Jean-Luc Gauvain,Esther Levin,Chin-Hui Lee,Jay G. Wilpon +6 more
TL;DR: An understanding system, designed for both speech and text input, has been implemented based on statistical representation of task specific semantic knowledge, which extracts words and their association to the conceptual structure of the task directly from the acoustic signal.
Patent
Methods and apparatus for information indexing and retrieval as well as query expansion using morpho-syntactic analysis
TL;DR: In this article, an index generator and query expander for information retrieval in a corpus is presented, where the disambiguated corpus is provided as an input to a transformational analyzer, using a grammar and a metagrammar for analyzing syntactic and morphosyntactic variations to conflate and generate variants.
Proceedings ArticleDOI
Expansion of Multi- Word Terms for Indexing and Retrieval Using Morphology and Syntax
TL;DR: The contribution of this research is the successful combination of parsing over a seed term list coupled with derivational morphology to achieve greater coverage of multi-word terms for indexing and retrieval.