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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 1101–1150 of 1773 papers

TitleStatusHype
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
Unsupervised Neural Machine Translation with Future Rewarding—0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
Synchronously Generating Two Languages with Interactive Decoding—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Recycling a Pre-trained BERT Encoder for Neural Machine Translation—0
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning—0
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation—0
English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Combining Translation Memory with Neural Machine Translation—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English—0
Zero-Resource Neural Machine Translation with Monolingual Pivot Data—0
Sarah's Participation in WAT 2019—0
Data augmentation using back-translation for context-aware neural machine translation—0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019—0
Our Neural Machine Translation Systems for WAT 2019—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Idiap NMT System for WAT 2019 Multimodal Translation Task—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Sentiment Aware Neural Machine Translation—0
Masked Language Model ScoringCode1
Document-level Neural Machine Translation with Associated Memory Network—0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
Findings of the Third Workshop on Neural Generation and Translation—0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation—0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed—0
Controlling the Output Length of Neural Machine Translation—0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts—0
Controlling Utterance Length in NMT-based Word Segmentation with Attention—0
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty—0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Novel Applications of Factored Neural Machine Translation—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
On Leveraging the Visual Modality for Neural Machine Translation—0
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