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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 801850 of 1773 papers

TitleStatusHype
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender0
Improved Neural Machine Translation using Side Information0
Investigating Multilingual NMT Representations at Scale0
Correcting Length Bias in Neural Machine Translation0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English0
Improved English to Russian Translation by Neural Suffix Prediction0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews0
Improved English to Hindi Multimodal Neural Machine Translation0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation0
Corpora for Document-Level Neural Machine Translation0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data0
AutoLoss: Learning Discrete Schedule for Alternate Optimization0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 20190
Illinois Japanese English News Translation for WMT 20210
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments0
IITP-MT System for Gujarati-English News Translation Task at WMT 20190
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits0
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task0
Key-value Attention Mechanism for Neural Machine Translation0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning0
KIT’s Multilingual Neural Machine Translation systems for IWSLT 20170
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task0
Knowledge Based Template Machine Translation In Low-Resource Setting0
Knowledge Based Template Machine Translation In Low-Resource Setting0
Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity0
Knowledge Graphs for Multilingual Language Translation and Generation0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 20190
Korean-to-Japanese Neural Machine Translation System using Hanja Information0
Controlling Utterance Length in NMT-based Word Segmentation with Attention0
Kyoto University MT System Description for IWSLT 20170
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages0
Idiap NMT System for WAT 2019 Multimodal Translation Task0
Controlling the Output Length of Neural Machine Translation0
A User Study of the Incremental Learning in NMT0
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