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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 476–500 of 1773 papers

TitleStatusHype
Dynamic Position Encoding for Transformers—0
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages—0
Improving Neural Machine Translation with Pre-trained Representation—0
Ensemble of Translators with Automatic Selection of the Best Translation -- the submission of FOKUS to the WMT 18 biomedical translation task --—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Effective Use of Target-side Context for Neural Machine Translation—0
Efficient Bilingual Generalization from Neural Transduction Grammar Induction—0
Can Neural Machine Translation be Improved with User Feedback?—0
Efficient Inference for Multilingual Neural Machine Translation—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
Efficient Neural Machine Translation with Prior Word Alignment—0
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation—0
Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer—0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
Effort-Aware Neural Automatic Post-Editing—0
Efforts Towards Developing a Tamang Nepali Machine Translation System—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
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