Fabienne Moreau

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Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take into account morphological variants. We propose here a simple yet effective method to recognize these variants that are further used so as to enrich queries. In comparison with(More)
We used eight informative microsatellite markers for fingerprinting and evaluation of genetic similarity among 15 Tunisian olive (Olea europaea L.) cultivars and two feral unknown trees named Soulela 1 and Soulela 2. Thirty-one alleles were revealed, and the number of alleles per SSR varied from 2 (UDO12) to 6 (GAPU71A). Cluster analysis grouped cultivars(More)
Information retrieval systems (IRS) usually suffer from a low ability to recognize a same idea or concept that is expressed in different forms. A way of improving these systems is to take into account morphological variations. In this paper, we propose a simple method to recognize these variations that are further used so as to enrich queries. In comparison(More)
This paper investigates the potential added-value of a combination of different kinds of linguistic information (i.e. information that belongs to morphological, syntactic and semantic levels of language). In particular, it aims at determining whether those various kinds of knowledge , when integrated within a single information retrieval system, have(More)
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or automatic summarization. It is nevertheless a difficult task that is generally based on transcripts provided by an automatic speech recognition system. Unlike standard texts,(More)
This paper 1 presents a method for indexing spoken utterances which combines lexical and phonetic hypotheses in a hybrid index built from automata. The retrieval is realised by a lexical-phonetic and semi-imperfect matching whose aim is to improve the recall. A feature vector, containing edit distance scores and a confidence measure, weights each transition(More)
Taking into account in one same information retrieval system several linguistic indexes encoding morphological , syntactic, and semantic information seems a good idea to better grasp the semantic contents of large unstructured text collections and thus to increase performances of such a system. Therefore the problem raised is of knowing how to automatically(More)
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