SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 1773 papers

TitleStatusHype
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—0
General2Specialized LLMs Translation for E-commerce—0
Combining SMT and NMT Back-Translated Data for Efficient NMT—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
A Study of Multilingual Neural Machine Translation—0
Neural Machine Translation with Recurrent Highway Networks—0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
Gender-specific Machine Translation with Large Language Models—0
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Graph-to-Sequence Neural Machine Translation—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
Exploiting Sentential Context for Neural Machine Translation—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
Exploring Pair-Wise NMT for Indian Languages—0
Combination of Neural Machine Translation Systems at WMT20—0
A study of attention-based neural machine translation model on Indian languages—0
Exploring the traditional NMT model and Large Language Model for chat translation—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
Extract and Attend: Improving Entity Translation in Neural Machine Translation—0
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods—0
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation—0
Factored Neural Machine Translation—0
Factored Neural Machine Translation Architectures—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Combining Translation Memory with Neural Machine Translation—0
Fast and Accurate Neural Machine Translation with Translation Memory—0
Fast Domain Adaptation for Neural Machine Translation—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation—0
A Compact and Language-Sensitive Multilingual Translation Method—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
FBK’s Neural Machine Translation Systems for IWSLT 2016—0
Comparative Evaluation of NMT with Established SMT Programs—0
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT—0
Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data—0
Federated Nearest Neighbor Machine Translation—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
Show:102550
← PrevPage 12 of 36Next →

No leaderboard results yet.