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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

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Showing 1111–1120 of 1773 papers

TitleStatusHype
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text—0
The NiuTrans Machine Translation Systems for WMT19—0
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs—0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
The RWTH Aachen Machine Translation Systems for IWSLT 2017—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
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