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Found 8 papers, 2 papers with code
Findings of the 2021 Conference on Machine Translation (WMT21)
This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021. In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories.
Findings of the First Shared Task on Lifelong Learning Machine Translation
A lifelong learning system can adapt to new data without forgetting previously acquired knowledge.
Continual Lifelong Learning in Natural Language Processing: A Survey
However, it is difficult for existing deep learning architectures to learn a new task without largely forgetting previously acquired knowledge.
Findings of the 2020 Conference on Machine Translation (WMT20)
In the news task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting mainly of news stories.
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
In this work, we present an effective method for semantic specialization of word vector representations.
Sentiment Analysis with Contextual Embeddings and Self-Attention
In natural language the intended meaning of a word or phrase is often implicit and depends on the context.
Refinement of Unsupervised Cross-Lingual Word Embeddings
In this paper, we propose a self-supervised method to refine the alignment of unsupervised bilingual word embeddings.
Bilingual Lexicon Induction
Cross-Lingual Word Embeddings
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The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
Although the problem of similar language translation has been an area of research interest for many years, yet it is still far from being solved.
