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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
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
IIIT Hyderabad Submission To WAT 2021: Efficient Multilingual NMT systems for Indian languages—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus—0
IITP-MT at WAT2021: Indic-English Multilingual Neural Machine Translation using Romanized Vocabulary—0
IITP-MT System for Gujarati-English News Translation Task at WMT 2019—0
Illinois Japanese English News Translation for WMT 2021—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Improved English to Russian Translation by Neural Suffix Prediction—0
Improved Neural Machine Translation using Side Information—0
Correcting Length Bias in Neural Machine Translation—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Coverage Embedding Models for Neural Machine Translation—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Improving Context-aware Neural Machine Translation with Target-side Context—0
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?—0
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language—0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Exploiting Deep Representations for Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back 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
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Ask Language Model to Clean Your Noisy Translation Data—0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
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