Discourse Particles In French: Prosodic Parameters Extraction and Analysis
Identifieur interne : 000191 ( Hal/Checkpoint ); précédent : 000190; suivant : 000192Discourse Particles In French: Prosodic Parameters Extraction and Analysis
Auteurs : Mathilde Dargnat [France] ; Katarina Bartkova [France] ; Denis Jouvet [France]Source :
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Abstract
Detecting the correct syntactic function of a word is of great importance for language and speech processing. The semantic load of a word is different whether its function is a discourse particle or a preposition. Words having the function of a discourse particle (DP) are very frequent in spontaneous speech and their discursive function is often expressed only by prosodic means. Our study analyses some prosodic correlates of two French words (quoi,voiì a), used as discourse particles or pronoun (quoi) or preposition (voiì a). Our goal is to determine to what extent intrinsic and contextual prosodic properties characterize DP and non-DP functions. Prosodic parameters are analyzed with respect to the DP or non-DP function for these words extracted from large speech corpora. A preliminary test concerning the automatic detection of the word function is also carried out using prosodic parameters only, leading to an encouraging result of 70% correct identification.
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The semantic load of a word is different whether its function is a discourse particle or a preposition. Words having the function of a discourse particle (DP) are very frequent in spontaneous speech and their discursive function is often expressed only by prosodic means. Our study analyses some prosodic correlates of two French words (quoi,voiì a), used as discourse particles or pronoun (quoi) or preposition (voiì a). Our goal is to determine to what extent intrinsic and contextual prosodic properties characterize DP and non-DP functions. Prosodic parameters are analyzed with respect to the DP or non-DP function for these words extracted from large speech corpora. A preliminary test concerning the automatic detection of the word function is also carried out using prosodic parameters only, leading to an encouraging result of 70% correct identification.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Discourse Particles In French: Prosodic Parameters Extraction and Analysis</title><author role="aut"><persName><forename type="first">Mathilde</forename><surname>Dargnat</surname></persName><email></email><idno type="halauthor">1196493</idno><affiliation ref="#struct-190838"></affiliation></author><author role="aut"><persName><forename type="first">Katarina</forename><surname>Bartkova</surname></persName><email></email><idno type="halauthor">507670</idno><affiliation ref="#struct-190838"></affiliation></author><author role="crp"><persName><forename type="first">Denis</forename><surname>Jouvet</surname></persName><email>denis.jouvet@inria.fr</email><idno type="halauthor">1093425</idno><affiliation ref="#struct-420403"></affiliation></author><editor role="depositor"><persName><forename>Denis</forename><surname>Jouvet</surname></persName><email>denis.jouvet@inria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2015-08-13 11:31:06</date><date type="whenModified">2015-09-21 11:12:27</date><date type="whenReleased">2015-08-13 15:45:23</date><date type="whenProduced">2015-11-24</date><date type="whenEndEmbargoed">2015-08-13</date><ref type="file" target="https://hal.inria.fr/hal-01184197/document"><date notBefore="2015-08-13"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/hal-01184197/file/main.pdf"><date notBefore="2015-08-13"></date></ref></edition><respStmt><resp>contributor</resp><name key="155601"><persName><forename>Denis</forename><surname>Jouvet</surname></persName><email>denis.jouvet@inria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-01184197</idno><idno type="halUri">https://hal.inria.fr/hal-01184197</idno><idno type="halBibtex">dargnat:hal-01184197</idno><idno type="halRefHtml">International Conference on Statistical Language and Speech Processing, Nov 2015, Budapest, Hungary. Proceedings SLSP'2015, 3rd International Conference on Statistical Language and Speech Processing</idno><idno type="halRef">International Conference on Statistical Language and Speech Processing, Nov 2015, Budapest, Hungary. Proceedings SLSP'2015, 3rd International Conference on Statistical Language and Speech Processing</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="ATILF">Analyse et Traitement Informatique de la Langue Française</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Discourse Particles In French: Prosodic Parameters Extraction and Analysis</title><author role="aut"><persName><forename type="first">Mathilde</forename><surname>Dargnat</surname></persName><idno type="halAuthorId">1196493</idno><affiliation ref="#struct-190838"></affiliation></author><author role="aut"><persName><forename type="first">Katarina</forename><surname>Bartkova</surname></persName><idno type="halAuthorId">507670</idno><affiliation ref="#struct-190838"></affiliation></author><author role="crp"><persName><forename type="first">Denis</forename><surname>Jouvet</surname></persName><email>denis.jouvet@inria.fr</email><idno type="halAuthorId">1093425</idno><affiliation ref="#struct-420403"></affiliation></author></analytic><monogr><title level="m">Proceedings SLSP'2015, 3rd International Conference on Statistical Language and Speech Processing</title><meeting><title>International Conference on Statistical Language and Speech Processing</title><date type="start">2015-11-24</date><date type="end">2015-11-26</date><settlement>Budapest</settlement><country key="HU">Hungary</country></meeting><imprint></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">part-of-speech tagging</term><term xml:lang="en">prosody</term><term xml:lang="en">discourse particles</term><term xml:lang="en">dis-course structure</term><term xml:lang="en">automatic prosodic annotation</term></keywords><classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Detecting the correct syntactic function of a word is of great importance for language and speech processing. The semantic load of a word is different whether its function is a discourse particle or a preposition. Words having the function of a discourse particle (DP) are very frequent in spontaneous speech and their discursive function is often expressed only by prosodic means. Our study analyses some prosodic correlates of two French words (quoi,voiì a), used as discourse particles or pronoun (quoi) or preposition (voiì a). Our goal is to determine to what extent intrinsic and contextual prosodic properties characterize DP and non-DP functions. Prosodic parameters are analyzed with respect to the DP or non-DP function for these words extracted from large speech corpora. A preliminary test concerning the automatic detection of the word function is also carried out using prosodic parameters only, leading to an encouraging result of 70% correct identification.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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