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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 991–1000 of 1773 papers

TitleStatusHype
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering—0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions—0
Hindi-Marathi Cross Lingual Model—0
Hindi to English: Transformer-Based Neural Machine Translation—0
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints—0
How Does Pretraining Improve Discourse-Aware Translation?—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?—0
How Much Attention Do You Need? A Granular Analysis of Neural Machine Translation Architectures—0
How Much Does Tokenization Affect Neural Machine Translation?—0
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