SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 701–725 of 1773 papers

TitleStatusHype
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Exploiting Deep Representations for Neural Machine Translation—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus—0
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
Illinois Japanese English News Translation for WMT 2021—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improved Neural Machine Translation using Side Information—0
Correcting Length Bias in Neural Machine Translation—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Code-switching pre-training for neural machine translation—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Coverage Embedding Models for Neural Machine Translation—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Ask Language Model to Clean Your Noisy Translation Data—0
Show:102550
← PrevPage 29 of 71Next →

No leaderboard results yet.