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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 626–650 of 1773 papers

TitleStatusHype
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation—0
A Teacher-Student Framework for Zero-Resource Neural Machine Translation—0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?—0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Future-Prediction-Based Model for Neural Machine Translation—0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
Gender-specific Machine Translation with Large Language Models—0
General2Specialized LLMs Translation for E-commerce—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
Generalizing Back-Translation in Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Generating Diverse Translation from Model Distribution with Dropout—0
Generating Gender Augmented Data for NLP—0
Code Translation with Compiler Representations—0
Getting Gender Right in Neural Machine Translation—0
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
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