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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 551–600 of 1773 papers

TitleStatusHype
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
Transformer with Syntactic Position Encoding for Machine Translation—0
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework—0
Low Resource Multimodal Neural Machine Translation of English-Hindi in News Domain—0
Multilingual Multi-Domain NMT for Indian Languages—0
Neural Machine Translation for Sinhala-English Code-Mixed Text—0
On Machine Translation of User Reviews—0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
YANMTT: Yet Another Neural Machine Translation Toolkit—0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
On Multi-Modal Learning of Editing Source CodeCode1
The paradox of the compositionality of natural language: a neural machine translation case studyCode0
Icelandic Parallel Abstracts Corpus—0
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine TranslationCode1
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
The USYD-JD Speech Translation System for IWSLT2021—0
ON-TRAC’ systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks—0
ZJU’s IWSLT 2021 Speech Translation System—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation—0
Zero-Shot Neural Machine Translation with Self-Learning Cycle—0
Investigating Active Learning in Interactive Neural Machine Translation—0
Sentiment-based Candidate Selection for NMTCode0
A Comparison of Sentence-Weighting Techniques for NMT—0
Selecting the best data filtering method for NMT training—0
Morphologically-Guided Segmentation For Translation of Agglutinative Low-Resource LanguagesCode0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
HI-CMLM: Improve CMLM with Hybrid Decoder Input—0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
Investigating Softmax Tempering for Training Neural Machine Translation Models—0
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair—0
Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method—0
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
NHK’s Lexically-Constrained Neural Machine Translation at WAT 2021—0
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021—0
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT—0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
TMU NMT System with Japanese BART for the Patent task of WAT 2021—0
NICT-5’s Submission To WAT 2021: MBART Pre-training And In-Domain Fine Tuning For Indic Languages—0
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task—0
Bering Lab’s Submissions on WAT 2021 Shared Task—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text—0
NECTEC’s Participation in WAT-2021—0
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