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Found 3 papers, 2 papers with code
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation
In this paper, we propose a document-level neural machine translation framework, CoDoNMT, which models cohesion devices from two perspectives: Cohesion Device Masking (CoDM) and Cohesion Attention Focusing (CoAF).
Towards a Deep Understanding of Multilingual End-to-End Speech Translation
In this paper, we employ Singular Value Canonical Correlation Analysis (SVCCA) to analyze representations learnt in a multilingual end-to-end speech translation model trained over 22 languages.
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
SemEval task 4 aims to find a proper option from multiple candidates to resolve the task of machine reading comprehension.
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