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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 601–650 of 1773 papers

TitleStatusHype
A New Methodology to Maximize the Strength of SMT and NMT—0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
Document-level Neural Machine Translation Using Dependency RST Structure—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Document-level Neural Machine Translation with Associated Memory Network—0
Document-level Neural Machine Translation with Document Embeddings—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
A neural interlingua for multilingual machine translation—0
Document Graph for Neural Machine Translation—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Diving Deep into Context-Aware Neural Machine Translation—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
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
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Differences between SMT and NMT Output - a Translators' Point of View—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
DFKI-NMT Submission to the WMT19 News Translation Task—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
Developing neural machine translation models for Hungarian-English—0
Detecting Untranslated Content for Neural Machine Translation—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
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