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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 801–850 of 1773 papers

TitleStatusHype
Investigating Backtranslation in Neural Machine Translation—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation—0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Investigating Low-resource Machine Translation for English-to-Tamil—0
Investigating Multilingual NMT Representations at Scale—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English—0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?—0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Is LLM the Silver Bullet to Low-Resource Languages Machine Translation?—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection—0
Iterative Domain-Repaired Back-Translation—0
Iterative Dual Domain Adaptation for Neural Machine Translation—0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data—0
Explicit Reordering for Neural Machine Translation—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Japanese Predicate Conjugation for Neural Machine Translation—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
基于层间知识蒸馏的神经机器翻译(Inter-layer Knowledge Distillation for Neural Machine Translation)—0
Evolution Strategy Based Automatic Tuning of Neural Machine Translation Systems—0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 2016—0
Developing neural machine translation models for Hungarian-English—0
Joint Prediction of Word Alignment with Alignment Types—0
Joint Training for Neural Machine Translation Models with Monolingual Data—0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
JU-Saarland Submission to the WMT2019 English--Gujarati Translation Shared Task—0
Key-value Attention Mechanism for Neural Machine Translation—0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning—0
KIT’s Multilingual Neural Machine Translation systems for IWSLT 2017—0
Learning Distributional Token Representations from Visual Features—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction—0
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 2019—0
Korean-to-Japanese Neural Machine Translation System using Hanja Information—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Kyoto University MT System Description for IWSLT 2017—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models—0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 2021—0
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