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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Showing 876900 of 1773 papers

TitleStatusHype
On the Language Coverage Bias for Neural Machine Translation0
On the Linguistic Representational Power of Neural Machine Translation Models0
On the Relation between Position Information and Sentence Length in Neural Machine Translation0
On the Relationship between Neural Machine Translation and Word Alignment0
On the Sparsity of Neural Machine Translation Models0
On the Sub-Layer Functionalities of Transformer Decoder0
On the use of BERT for Neural Machine Translation0
On the Word Alignment from Neural Machine Translation0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks0
On Zero-shot Cross-lingual Transfer of Multilingual Neural Machine Translation0
OpenNMT: Open-source Toolkit for Neural Machine Translation0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU0
OPPO NMT System for IWSLT 20190
Optimizing Segmentation Granularity for Neural Machine Translation0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning0
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media0
Our Neural Machine Translation Systems for WAT 20190
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation0
Panlingua-KMI MT System for Similar Language Translation Task at WMT 20190
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation0
Parallel Attention Forcing for Machine Translation0
Parallel Corpus Filtering Based on Fuzzy String Matching0
Parallel sentences mining with transfer learning in an unsupervised setting0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts0
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