Zobrazeno 1 - 10 of 21 pro vyhledávání: '"Elloumi, Zied"'
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Analyzing Learned Representations of a Deep ASR Performance Prediction Model
Autor: Elloumi, Zied, Besacier, Laurent, Galibert, Olivier, Lecouteux, Benjamin
This paper addresses a relatively new task: prediction of ASR performance on unseen broadcast programs. In a previous paper, we presented an ASR performance prediction system using CNNs that encode both text (ASR transcript) and speech, in order to p
Externí odkaz: http://arxiv.org/abs/1808.08573
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2
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ASR Performance Prediction on Unseen Broadcast Programs using Convolutional Neural Networks
Autor: Elloumi, Zied, Besacier, Laurent, Galibert, Olivier, Kahn, Juliette, Lecouteux, Benjamin
In this paper, we address a relatively new task: prediction of ASR performance on unseen broadcast programs. We first propose an heterogenous French corpus dedicated to this task. Two prediction approaches are compared: a state-of-the-art performance
Externí odkaz: http://arxiv.org/abs/1804.08477
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3
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Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Autor: Servan, Christophe, Berard, Alexandre, Elloumi, Zied, Blanchon, Hervé, Besacier, Laurent
This paper presents an approach combining lexico-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT). This study is made through the enrichment of a well-known MT evaluation metric: METEOR
Externí odkaz: http://arxiv.org/abs/1610.01291
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4
P1368EVOLUTIVE PROFILE OF HEMODIALYSIS VASCULAR ACCESSES
Autor: Elloumi Zied, Chermiti Mohamed, Imen Gorsane, Mechri Aya
Publikováno v: Nephrology Dialysis Transplantation. 35
Background and Aims Arterio-venous fistula (AVF) is considered to be the first choice vascular access for hemodialysis (HD). Hemodialysis catheter (KT) may be a temporary or permanent alternative. The aim of our work was the study of indications, and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8737c4c4bd851e43fe0d54418eb6c8ec
https://doi.org/10.1093/ndt/gfaa142.p1368
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5
Performance prediction of Automatic Speech Recognition systems
Autor: Elloumi, Zied
Publikováno v: Automatique. Université Grenoble Alpes, 2019. Français. ⟨NNT : 2019GREAM005⟩
In this thesis, we focus on performance prediction of automatic speech recognition (ASR) systems.This is a very useful task to measure the reliability of transcription hypotheses for a new data collection, when the reference transcription is unavaila
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fbd049fc9523a478fcc32b7de1631c47
https://tel.archives-ouvertes.fr/tel-02173343
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7
Prédiction de performance des systèmes de reconnaissance automatique de la parole à l'aide de réseaux de neurones convolutifs
Autor: Elloumi, Zied, Lecouteux, Benjamin, Galibert, Olivier, Besacier, Laurent
Publikováno v: Revue TAL
Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2018
Traitement Automatique des Langues
Traitement Automatique des Langues, ATALA, 2018
International audience; Dans ce travail, nous nous intéressons à la tâche de prédiction de performance des systèmes de transcription de la parole. Nous comparons deux approches de prédiction: une approche de l'état de l'art fondée sur l'extra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d3e6142472d053c41f0b82066b203756
https://hal.archives-ouvertes.fr/hal-01976284/document
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8
Traitement des Mots Hors Vocabulaire pour la Traduction Automatique de Document OCRisés en Arabe
Autor: Bouzidi, Kamel, Elloumi, Zied, Besacier, Laurent, Lecouteux, Benjamin, Faouzi BenZeghiba, Mohamed
Publikováno v: Actes de TALN 2017, volume 1
TALN 2017
TALN 2017, Jun 2017, Orléans, France
International audience; This article presents a new system that automatically translates images of arabic documents. Two modules are involved: an optical character recognition (OCR) module in Arabic and an Arabic-French machine translation module (MT
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8bd1086226c8867a269945a4ef4fddfd
https://hal.archives-ouvertes.fr/hal-01623072
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9
Word2Vec vs DBnary ou comment (ré)concilier représentations distribuées et réseaux lexico-sémantiques ? Le cas de l’évaluation en traduction automatique
Autor: Servan, Christophe, Elloumi, Zied, Blanchon, Hervé, Besacier, Laurent
Publikováno v: Actes de la conférence conjointe JEP-TALN-RECITAL
TALN 2016
TALN 2016, Jul 2016, Paris, France
International audience; This paper presents an approach combining lexical-semantic resources and distributed representations of words applied to the evaluation in machine translation (MT). This study is made through the enrichment of a well-known MT
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91065a316430ee4d054b990e5a321932
https://hal.archives-ouvertes.fr/hal-01350101
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10
METEOR For Multiple Target Languages Using DBnary
Autor: Elloumi, Zied, Blanchon, Hervé, Serasset, Gilles, Besacier, Laurent
Publikováno v: Proceedings of the Summit XV, vol 1
MT Summit 2015
MT Summit 2015, Nov 2015, Miami, United States
International audience; This paper proposes an extension of METEOR, a well-known MT evaluation metric, for multiple target languages using an in-house lexical resource called DBnary (an extraction from Wiktionary provided to the community as a Multil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ecac705a7e60ef8aacd59dce8a8ab4b1
https://hal.archives-ouvertes.fr/hal-01350109/document
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