Conference
Discourse Particles In French: Prosodic Parameters Extraction and Analysis
| العنوان: | Discourse Particles In French: Prosodic Parameters Extraction and Analysis |
|---|---|
| المؤلفون: | Dargnat, Mathilde, Bartkova, Katarina, Jouvet, Denis |
| المساهمون: | Analyse et Traitement Informatique de la Langue Française (ATILF), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Speech Modeling for Facilitating Oral-Based Communication (MULTISPEECH), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
| المصدر: | Proceedings SLSP'2015, 3rd International Conference on Statistical Language and Speech Processing ; International Conference on Statistical Language and Speech Processing ; https://inria.hal.science/hal-01184197 ; International Conference on Statistical Language and Speech Processing, Nov 2015, Budapest, Hungary |
| بيانات النشر: | HAL CCSD |
| سنة النشر: | 2015 |
| المجموعة: | Université de Lorraine: HAL |
| مصطلحات موضوعية: | part-of-speech tagging, prosody, discourse particles, dis-course structure, automatic prosodic annotation, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing |
| جغرافية الموضوع: | Budapest, Hungary |
| الوصف: | International audience ; 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. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| الاتاحة: | https://inria.hal.science/hal-01184197 https://inria.hal.science/hal-01184197v1/document https://inria.hal.science/hal-01184197v1/file/main.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.4517E5D4 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |