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Source or target first? Comparison of two post-editing strategies with translation students
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In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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Evaluating the comprehension of Arasaac and Sclera pictographs for the BabelDr patient response interface
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In: Proceedings of the 3rd Swiss conference on barrier-free communication (BfC 2020) pp. 55-63 (2021)
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A speech-enabled fixed-phrase translator for healthcare accessibility
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In: Proceedings of the 1st Workshop on NLP for Positive Impact (2021)
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A Speech-Enabled Fixed-Phrase Translator for Emergency Settings: Crossover Study
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In: ISSN: 2291-9694 ; JMIR Medical Informatics, Vol. 7, No 2 (2019) (2019)
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Overview of the 2018 Spoken CALL Shared Task
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In: Interspeech 2018 pp. 2354-2358 (2018)
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Abstract:
We present an overview of the second edition of the Spoken CALL Shared Task. Groups competed on a prompt-response task using English-language data collected, through an online CALL game, from Swiss German teens in their second and third years of learning English. Each item consists of a written German prompt and an audio file containing a spoken response. The task is to accept linguistically correct responses and reject linguistically incorrect ones, with "linguistically correct" defined by a gold standard derived from human annotations. Scoring was performed using a metric defined as the ratio of the relative rejection rates on incorrect and correct responses. The second edition received eighteen entries and showed very substantial improvement on the first edition; all entries were better than the best entry from the first edition, and the best score was about four times higher. We present the task, the resources, the results, a discussion of the metrics used, and an analysis of what makes items challenging. In particular, we present quantitative evidence suggesting that incorrect responses are much more difficult to process than correct responses, and that the most significant factor in making a response challenging is its distance from the closest training example.
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Keyword:
CALL; info:eu-repo/classification/ddc/410.2; Metrics; Shared tasks; Speech recognition
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URL: https://archive-ouverte.unige.ch/unige:108710
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Handling Ellipsis in a Spoken Medical Phraselator
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In: Statistical Language and Speech Processing. SLSP 2018 pp. 140-152 (2018)
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Le projet BabelDr : rendre les informations médicales accessibles en Langue des Signes de Suisse Romande (LSF-SR)
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In: Proceedings of the 2nd Swiss Conference on Barrier-free Communication: Accessibility in educational settings (BFC 2018) pp. 92-96 (2018)
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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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Can Speech-Enabled Phraselators Improve Healthcare Accessibility? A Case Study Comparing BabelDr with MediBabble for Anamnesis in Emergency Settings
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In: Proceedings of the 1st Swiss Conference on Barrier-free Communication (2018)
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Comparison of the quality of two speech translators in emergency settings : A case study with standardized Arabic speaking patients with abdominal pain
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In: European Congress of Emergency Medicine, (EUSEM 2017) (2017) (2017)
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Lightweight Spoken Utterance Classification with CFG, tf-idf and Dynamic Programming
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In: ISBN: 978-3-319-68455-0 ; Statistical Language and Speech Processing (SLSP) pp. 143-154 (2017)
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Rapid Construction of a Web-Enabled Medical Speech to Sign Language Translator Using Recorded Video
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In: ISBN: 978-3-319-69364-4 ; Future and Emerging Trends in Language Technology. Machine Learning and Big Data pp. 122-134 (2017)
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Menusigne: A Serious Game for Learning Sign Language Grammar
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In: Workshop on Speech and Language Technology in Education (SLaTE 2017) (2017)
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A Robust Medical Speech-to-Speech/Speech-to-Sign Phraselator
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In: Interspeech (2017)
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Overview of the 2017 Spoken CALL Shared Task
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In: Workshop on Speech and Language Technology in Education (SLaTE) (2017)
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An Open Web Platform for Rule-Based Speech-to-Sign Translation ...
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Helping Domain Experts Build Phrasal Speech Translation Systems
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In: ISBN: 0302-9743 ; Future and Emergent Trends in Language Technology pp. 41-52 (2016)
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An OpenWeb Platform for Rule-Based Speech-to-Sign Translation
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In: 54th annual meeting of the Association for Computational Linguistics (ACL) (2016)
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Helping Domain Experts Build Speech Translation Systems ...
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