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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 1226–1250 of 1773 papers

TitleStatusHype
Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation—0
Modelling the Socialization of Creative Agents in a Master-Apprentice Setting: The Case of Movie Title Puns—0
Monolingual backtranslation in a medical speech translation system for diagnostic interviews - a NMT approach—0
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation—0
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association—0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation—0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing—0
MTUOC: easy and free integration of NMT systems in professional translation environments—0
Much Ado About Nothing -- Identification of Zero Copulas in Hungarian Using an NMT Model—0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation—0
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory—0
Multi-agent Learning for Neural Machine Translation—0
Multi-channel Encoder for Neural Machine Translation—0
Multi-Domain Neural Machine Translation—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
Multi-Granularity Self-Attention for Neural Machine Translation—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Multilingual Disfluency Removal using NMT—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT—0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation—0
Multilingual Multi-Domain NMT for Indian Languages—0
Multilingual Multi-modal Embeddings for Natural Language Processing—0
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