Paraphrastic Reformulations in Spoken Corpora
Document type :
Article dans une revue scientifique
Title :
Paraphrastic Reformulations in Spoken Corpora
Author(s) :
Eshkol-Taravella, Iris [Auteur]
Laboratoire Ligérien de Linguistique [LLL]
Grabar, Natalia [Auteur correspondant]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Laboratoire Ligérien de Linguistique [LLL]
Grabar, Natalia [Auteur correspondant]

Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Journal title :
Lecture Notes in Computer Science
9th International Conference on NLP, PolTAL2014
9th International Conference on NLP, PolTAL2014
Pages :
425-437
Publisher :
Springer
Publication date :
2014
ISSN :
0302-9743
English keyword(s) :
Reformulation
Paraphrase
Spoken corpora
Paraphrase
Spoken corpora
HAL domain(s) :
Sciences de l'Homme et Société/Linguistique
Informatique [cs]
Informatique [cs]
English abstract : [en]
Our work addresses the automatic detection of paraphrastic reformulation in French spoken corpora. The proposed approach is syn-tagmatic. It is based on specific markers and the specificities of the spoken language. Manual ...
Show more >Our work addresses the automatic detection of paraphrastic reformulation in French spoken corpora. The proposed approach is syn-tagmatic. It is based on specific markers and the specificities of the spoken language. Manual multi-dimensional annotation performed by two annotators provides fine-grained reference data. An automatic method is proposed in order to decide whether sentences contain or not paraphras-tic relations. The obtained results show up to 66.4% precision. Analysis of the manual annotations indicates that few paraphrastic segments show morphological modifications (inflection, derivation or compounding) and that the syntactic equivalence between the segments is seldom respected, as these usually belong to different syntactic categories.Show less >
Show more >Our work addresses the automatic detection of paraphrastic reformulation in French spoken corpora. The proposed approach is syn-tagmatic. It is based on specific markers and the specificities of the spoken language. Manual multi-dimensional annotation performed by two annotators provides fine-grained reference data. An automatic method is proposed in order to decide whether sentences contain or not paraphras-tic relations. The obtained results show up to 66.4% precision. Analysis of the manual annotations indicates that few paraphrastic segments show morphological modifications (inflection, derivation or compounding) and that the syntactic equivalence between the segments is seldom respected, as these usually belong to different syntactic categories.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
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