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09/10/2020
On Target Segmentation for Direct Speech Translation
Recent studies on direct speech translation show continuous improvements...
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08/05/2020
Contextualized Translation of Automatically Segmented Speech
Direct speech-to-text translation (ST) models are usually trained on cor...
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06/10/2020
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus
Translating from languages without productive grammatical gender like En...
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06/04/2020
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020
This paper describes FBK's participation in the IWSLT 2020 offline speec...
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10/23/2019
Instance-Based Model Adaptation For Direct Speech Translation
Despite recent technology advancements, the effectiveness of neural appr...
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10/22/2019
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Neural machine translation models have shown to achieve high quality whe...
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10/08/2019
One-To-Many Multilingual End-to-end Speech Translation
Nowadays, training end-to-end neural models for spoken language translat...
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04/24/2019
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors
Machine translation systems are conventionally trained on textual resour...
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04/02/2019
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
Irony and sarcasm are two complex linguistic phenomena that are widely u...
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10/16/2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
This paper describes FBK's submission to the end-to-end English-German s...
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05/10/2018
