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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 951975 of 1773 papers

TitleStatusHype
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain0
Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text0
Finetuning a Kalaallisut-English machine translation system using web-crawled data0
First Experiments with Neural Translation of Informal to Formal Mathematics0
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing0
Fixing exposure bias with imitation learning needs powerful oracles0
FJWU Participation for the WMT21 Biomedical Translation Task0
Flow-Adapter Architecture for Unsupervised Machine Translation0
Forest-Based Neural Machine Translation0
FrameNet Annotations Alignment using Attention-based Machine Translation0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models0
Frequency-Aware Contrastive Learning for Neural Machine Translation0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model0
Future-Prediction-Based Model for Neural Machine Translation0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages0
Gender Aware Spoken Language Translation Applied to English-Arabic0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation0
Gender-specific Machine Translation with Large Language Models0
General2Specialized LLMs Translation for E-commerce0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training0
Generalizing Back-Translation in Neural Machine Translation0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation0
Generating Diverse Translation from Model Distribution with Dropout0
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