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1
Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation ...
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2
Gender Bias in Machine Translation ...
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3
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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4
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation ...
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5
Is “moby dick” a Whale or a Bird? Named Entities and Terminology in Speech Translation ...
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6
Gender Bias in Machine Translation ...
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7
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference? ...
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8
Breeding Gender-aware Direct Speech Translation Systems ...
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9
Machine translation for institutional academic texts: Output quality, terminology translation and post-editor trust
Scansani, Randy <1991>. - : Alma Mater Studiorum - Università di Bologna, 2020
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10
MuST-C A Multilingual Speech Translation Corpus (Conference slides) ...
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11
The first Automatic Translation Memory Cleaning Shared Task [<Journal>]
Barbu, Eduard [Verfasser]; Parra Escartín, Carla [Sonstige]; Bentivogli, Luisa [Sonstige].
DNB Subject Category Language
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12
The first Automatic Translation Memory Cleaning Shared Task
In: 30 ; 3-4 ; 145 ; 166 (2017)
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13
Neural versus Phrase-Based Machine Translation Quality: a Case Study ...
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14
Creating a ground truth multilingual dataset of news and talk show transcriptions through crowdsourcing
Sprugnoli, Rachele (orcid:0000-0001-6861-5595); Moretti, Giovanni; Bentivogli, Luisa. - 2016
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15
The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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16
The SICK (Sentences Involving Compositional Knowledge) dataset for relatedness and entailment ...
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17
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
In: DTIC (2013)
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18
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Embodiment Challenge
In: Seventh International Workshop on Semantic Evaluation, June 14-15, 2013. Atlanta, Georgia. (2013)
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19
Exploiting parallel texts in the creation of multilingual semantically annotated resources : the MultiSemCor corpus
In: Natural language engineering. - Cambridge : Cambridge University Press 11 (2005) 3, 247-261
BLLDB
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20
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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