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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 201–225 of 1773 papers

TitleStatusHype
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter—0
A Deep Learning Based Approach to Transliteration—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Character-level Transformer-based Neural Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Boosting Neural Machine Translation—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
Boosting Neural Networks to Decompile Optimized Binaries—0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation—0
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