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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 751–775 of 1773 papers

TitleStatusHype
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
POS-Tagging based Neural Machine Translation System for European Languages using Transformers—0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Verdi: Quality Estimation and Error Detection for Bilingual CorporaCode0
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation—0
Data Augmentation for Sign Language Gloss Translation—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
Self-Guided Curriculum Learning for Neural Machine Translation—0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Context-Adaptive Document-Level Neural Machine Translation—0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Simultaneous Multi-Pivot Neural Machine Translation—0
First the worst: Finding better gender translations during beam searchCode0
Sometimes We Want Translationese—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation—0
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