Qualifications: Ph.D Le Mans University and Avignon University France Automatic harnessing of Speech recognition systems Master’s Degree Jospeh F. University & Grenoble INP France Artificial Intelligence and the Web (AIW) Bachelor of Honor Faculty of Science of Monastir Tunisia Bachelor’s Degree Faculty of Science of Monastir Tunisia Network and Communications Management
Dr. Fethi BOUGARES is an associate professor at Le Mans university (France). Fethi holds a PhD Degree in Computer Science from Le Mans University. His research focuses on machine learning and it’s application to natural language processing (NLP). During the last several years Fethi has been actively involved in many NLP related European and US research programs.
A Masmoudi,Fethi Bougares, M Ellouze, Y Estève, L Belguith (2018)Automatic speech recognition system for Tunisian dialectJournal: Language Resources and Evaluation 52 (1), 249-267.
L Barrault,Fethi Bougares, L Specia, C Lala, D Elliott, S Frank (2018)Findings of the Third Shared Task on Multimodal Machine TranslationProceedings of the Third Conference on Machine Translation: Shared Task.
M Garcia-Martinez, L Barrault,Fethi BougaresNeural Machine Translation by Generating Multiple Linguistic Factors (2017)International Conference on Statistical Language and Speech Processing, 21-31.
Salima Medhaffar,Fethi Bougares, Yannick Estève and Lamia Hadrich-Belguith (2017)Sentiment analysis of Tunisian dialects: Linguistic Ressources and ExperimentsWorkshop of Arabic NLP, EACL 2017
Abir Masmoudi, Mariem Ellouze,Fethi Bougares, Yannick Estève, Lamia Hadrich-Belguith (2016)Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion.Interspeech 2016, San Francisco(CA, USA), 9-12 September 2016.
Caglayan Ozan, Aransa Walid, Wang Y, Masana M, García-Martínez Mercedes,Fethi Bougares,Loïc Barrault, van de Weijer F.Does Multimodality Help Human and Machine for Translation and Image Captioning?First Conference on Machine Translation, Berlin(Germany), 7-12 aout 2016.
Shah K,Fethi Bougares, Barrault L, Lucia Specia (2016)SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features.First Conference on Machine Translation, Berlin(Germany), 7-12 aout 2016.
Mercedes García Martínez, Loïc Barrault,Fethi BougaresFactored Neural Machine Translation Architectures.International Workshop on Spoken Language Translation (IWSLT’16), Seattle(USA) 2016.
Frédérique Blain,Fethi Bougares, Amir Hazem, Loïc Barrault, Holger Schwenk.Continuous Adaptation to User Feedback for Statistical Machine Translation.North American Chapter of the Association for Computational Linguistics – Human Language Tech-nologies (NAACL HLT 2015), Denver(Colorado, USA), June 1–3 2015.
Kashif Shah, Raymond W. M. Ng,Fethi Bougaresand Lucia Specia (2015)Investigating Continuous Space Language Models for Machine Translation Quality EstimationEMNLP 2015 Lisbon, Portugal.
Kashif Shah, Varvara Logacheva, Gustavo H. Paetzold, Frédéric Blain, Daniel Beck,Fethi Bougares,Lucia Specia (2015)SHEF-NN: Translation Quality Estimation with Neural NetworksTenth Workshop on Statistical Machine TranslationCollocated with EMNLP Lisbon, Portugal.
Frédérique Blain, Amir Hazem,Fethi Bougares, Loïc Barrault, Holger SchwenkProject Adaptation for SMT Over Several Days.Translation in Transition conference, Germersheim(Germany), 29-20 Jan. 2015 , Abstract, [URL].
Alex Ter-Sarkisov, Holger Schwenk,Fethi Bougaresand Loïc Barrault (2015)Incremental Adaptation Strategies for Neural Network Language Models3rd Workshop on Continuous Vector Space Models and their Compositionality
Fethi Bougares et Houda Bouamor (2015)UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic ErrorCorrection of Arabic Text (2015). Workshop on Arabic Natural Language Processing. The SecondShared Task on Automatic Arabic Error Correction.Collocated with ACL-IJCNLP 2015, Beijing, China.
Blain Frédérique,Fethi Bougares, Amir Hazem, Loïc Barrault, Holger Schwenk (2015)Continuous Adaptation to User Feedback for Statistical Machine Translation.North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT).
Holger Schwenk,Fethi Bougares, Loïc Barrault (2014)Efficient training strategies for deep neural network language models.NIPS workshop on deep neural networks and representation learning, Montreal(Canada).
Abir Masmoudi, Yannick Estève, Mariem E. Khmekhem,Fethi Bougares, Lamia H. Belguith (2014)Phonetic tool for the Tunisian ArabicThe 4th International Workshop on spoken Language Technologies for Under-resourced Languages.
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau,Fethi Bougares, Hol-ger Schwenk and Yoshua Bengio (2014)Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing.
