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Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings
We propose the use of pre-trained embeddings as features of a regression model for sentence-level quality estimation of machine translation.
University of Tartu's Multilingual Multi-domain WMT19 News Translation Shared Task Submission
This paper describes the University of Tartu{'}s submission to the news translation shared task of WMT19, where the core idea was to train a single multilingual system to cover several language pairs of the shared task and submit its results.
Quality Estimation with Force-Decoded Attention and Cross-lingual Embeddings
This paper describes the submissions of the team from the University of Tartu for the sentence-level Quality Estimation shared task of WMT18.
Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings
This paper describes the University of Tartu{'}s submission to the unsupervised machine translation track of WMT18 news translation shared task.
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