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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 11011125 of 1773 papers

TitleStatusHype
The HW-TSC Video Speech Translation System at IWSLT 20200
The IIT Bombay English-Hindi Parallel Corpus0
The impact of translation competence on error recognition of neural MT0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding0
The LAIX Systems in the BEA-2019 GEC Shared Task0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task0
The MeMAD Submission to the WMT18 Multimodal Translation Task0
The Missing Ingredient in Zero-Shot Neural Machine Translation0
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text0
The NiuTrans Machine Translation Systems for WMT190
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results0
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering0
The RWTH Aachen Machine Translation Systems for IWSLT 20170
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 20180
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 20200
The Sogou-TIIC Speech Translation System for IWSLT 20180
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach0
The Transference Architecture for Automatic Post-Editing0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task0
The University of Tokyo’s Submissions to the WAT 2020 Shared Task0
The USYD-JD Speech Translation System for IWSLT 20210
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