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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 651–700 of 1773 papers

TitleStatusHype
IITP-MT at CALCS2021: English to Hinglish Neural Machine Translation using Unsupervised Synthetic Code-Mixed Parallel Corpus—0
Multi-Hop Transformer for Document-Level Machine Translation—0
Continual Learning for Neural Machine Translation—0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
Parallel sentences mining with transfer learning in an unsupervised setting—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
POS-Tagging based Neural Machine Translation System for European Languages using Transformers—0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?—0
On Compositional Generalization of Neural Machine TranslationCode1
Verdi: Quality Estimation and Error Detection for Bilingual CorporaCode0
Fast Nearest Neighbor Machine TranslationCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation—0
Adaptive Nearest Neighbor Machine TranslationCode1
Selective Knowledge Distillation for Neural Machine TranslationCode1
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine TranslationCode1
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Data Augmentation for Sign Language Gloss Translation—0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Self-Guided Curriculum Learning for Neural Machine Translation—0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Hidden Backdoors in Human-Centric Language ModelsCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Shellcode_IA32: A Dataset for Automatic Shellcode GenerationCode1
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables—0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Context-Adaptive Document-Level Neural Machine Translation—0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Simultaneous Multi-Pivot Neural Machine Translation—0
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
First the worst: Finding better gender translations during beam searchCode0
Sometimes We Want Translationese—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation—0
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
Sentiment-based Candidate Selection for NMTCode0
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
Attention Forcing for Machine TranslationCode0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
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