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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

Showing 776800 of 1773 papers

TitleStatusHype
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 20160
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits0
Inducing Grammars with and for Neural Machine Translation0
Inference-only sub-character decomposition improves translation of unseen logographic characters0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System0
Insights from Gathering MT Productivity Metrics at Scale0
Data Weighted Training Strategies for Grammatical Error Correction0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation0
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission0
Integrating Pre-trained Language Model into Neural Machine Translation0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages0
Integrating Vectorized Lexical Constraints for Neural Machine Translation0
Evaluating the Supervised and Zero-shot Performance of Multi-lingual Translation Models0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation0
Interactive Attention for Neural Machine Translation0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation0
Decoding and Diversity in Machine Translation0
Introducing EM-FT for Manipuri-English Neural Machine Translation0
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources0
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data0
Exploring the Robustness of NMT Systems to Nonsensical Inputs0
Evaluating the Performance of Back-translation for Low Resource English-Marathi Language Pair: CFILT-IITBombay @ LoResMT 20210
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