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Found 6 papers, 2 papers with code
The IWSLT 2019 Evaluation Campaign
The IWSLT 2019 evaluation campaign featured three tasks: speech translation of (i) TED talks and (ii) How2 instructional videos from English into German and Portuguese, and (iii) text translation of TED talks from English into Czech.
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on
Machine Translation
on IWSLT2015 English-Vietnamese
(SacreBLEU metric)
Evaluation of Lifelong Learning Systems
Current intelligent systems need the expensive support of machine learning experts to sustain their performance level when used on a daily basis.
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features.
Ranked #1 on
Semantic Textual Similarity
on SentEval
Cross-Lingual Natural Language Inference
Semantic Textual Similarity
+2
On Using Monolingual Corpora in Neural Machine Translation
Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation.
Incremental Adaptation Strategies for Neural Network Language Models
We present efficient techniques to adapt a neural network language model to new data.
