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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 701–750 of 1773 papers

TitleStatusHype
Beam Search Strategies for Neural Machine Translation—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
CUNI NMT System for WAT 2018 Translation Tasks—0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
CUNI NMT System for WAT 2017 Translation Tasks—0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language—0
Crowd-sourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The case of Fon Language—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Cross-Lingual Transformers for Neural Automatic Post-Editing—0
Ancient-Modern Chinese Translation with a Large Training Dataset—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Improving Long Context Document-Level Machine Translation—0
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization—0
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language—0
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Improving Context-aware Neural Machine Translation with Target-side Context—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Crafting Adversarial Examples for Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
Improved Neural Machine Translation using Side Information—0
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