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Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation ...
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How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation ...
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Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? ...
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Machine translation for institutional academic texts: Output quality, terminology translation and post-editor trust
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MuST-C A Multilingual Speech Translation Corpus (Conference slides) ...
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The first Automatic Translation Memory Cleaning Shared Task
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In: 30 ; 3-4 ; 145 ; 166 (2017)
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Neural versus Phrase-Based Machine Translation Quality: a Case Study ...
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Creating a ground truth multilingual dataset of news and talk show transcriptions through crowdsourcing
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The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
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In: DTIC (2013)
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SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Embodiment Challenge
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In: Seventh International Workshop on Semantic Evaluation, June 14-15, 2013. Atlanta, Georgia. (2013)
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SICK through the SemEval glasses: lesson learned from the evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment
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