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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 1001–1025 of 1773 papers

TitleStatusHype
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Multiword Expression aware Neural Machine Translation—0
FrameNet Annotations Alignment using Attention-based Machine Translation—0
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Evaluating Robustness to Input Perturbations for Neural Machine Translation—0
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
Syntax-aware Data Augmentation for Neural Machine Translation—0
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword SystemsCode1
Revisiting Round-Trip Translation for Quality Estimation—0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Multiple Segmentations of Thai Sentences for Neural Machine Translation—0
When and Why is Unsupervised Neural Machine Translation Useless?—0
A Study of Non-autoregressive Model for Sequence Generation—0
Contextual Neural Machine Translation Improves Translation of Cataphoric PronounsCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
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