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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 751–760 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
Verdi: Quality Estimation and Error Detection for Bilingual CorporaCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
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
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