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Automatic summarisation: 25 years On
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In: 25 ; 6 ; 735 ; 751 (2019)
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| 22 |
Investigating backtranslation for the improvement of English-Irish machine translation
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In: Teanga: The Journal of the Irish Association for Applied Linguistics, Vol 26 (2019) (2019)
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| 25 |
Vision and Language Learning: From Image Captioning and Visual Question Answering towards Embodied Agents ...
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| 26 |
Automatic Bowel Motility Evaluation Technique for Noncontact Sound Recordings
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In: Applied Sciences ; Volume 8 ; Issue 6 (2018)
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| 27 |
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
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| 28 |
Automatic evaluation of the pronunciation with callslt, a conversation partner exclusively based on speech recognition
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In: ISBN: 978-84-09-02709-5 ; EDULEARN18, 10th annual International Conference on Education and New Learning Technologies pp. 6592-6597 (2018)
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Abstract:
At a time when markets are globalizing, second language acquisition is increasingly important in current society. More than a way to stand out, multilingualism has become a necessity, especially in multilingual countries such as Switzerland. Like many aspects of the day to day life, language learning is being revolutionized by technological progress. Today, CALL (Computer-assisted language learning) software allows users to acquire a new language at their own pace, without any constraints of time and place. Thanks to the great evolution of speech recognition technology, it is now possible to interact orally with computers. On this basis, the Faculty of Translation and Interpreting of Geneva University developed its own software called CALL-SLT, a conversation partner exclusively based on speech recognition. Since its usefulness as a learning coach has already been proven, we propose a new experiment aiming to discover if CALL-SLT can also play the role of an automatic evaluator of the L2 pronunciation. 17 French speakers were given access to the tool and took a test specially developed for this purpose. In this paper, we will present the method we used and summarize the results. While these are not perfect, they are very encouraging and suggest that an evaluation of pronunciation with speech recognition is indeed possible.
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Keyword:
Automatic evaluation; CALL; CALL-SLT; CAPT; Computer-assisted pronunciation training; info:eu-repo/classification/ddc/410.2; L2; Pronunciation; Speech recognition
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URL: https://archive-ouverte.unige.ch/unige:106446
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| 29 |
Expérimentation de la cartographie conceptuelle comme dispositif de collecte de données en vue de l’évaluation des apprentissages
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| 30 |
Evaluating Casama: contextualized semantic maps for summarization of lung cancer studies
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| 33 |
Comparative Human and Automatic Evaluation of Glass-Box and Black-Box Approaches to Interactive Translation Prediction
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| 34 |
Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful?
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| 35 |
The Role of human reference translation in machine translation evaluation
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In: TDX (Tesis Doctorals en Xarxa) (2017)
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| 36 |
Uso de cuestionarios online con feedback automático para la e-innovación en el alumnado universitario
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 51, 2017, pags. 51-60 (2017)
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| 37 |
LexFr: Adapting the LexIt Framework to Build a Corpus-Based French Subcategorization Lexicon
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In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16) ; https://hal.archives-ouvertes.fr/hal-03312844 ; Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), May 2016, Portorož, Slovenia. pp.930-937 (2016)
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| 38 |
TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
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In: LREC - Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01693805 ; LREC - Language Resources and Evaluation Conference, May 2016, Potoroz, Slovenia (2016)
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