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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 1401–1450 of 1773 papers

TitleStatusHype
Beam Search Strategies for Neural Machine Translation—0
Being Generous with Sub-Words towards Small NMT Children—0
Benchmarking Azerbaijani Neural Machine Translation—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Bering Lab’s Submissions on WAT 2021 Shared Task—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Boosting Neural Machine Translation—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network—0
Boosting Neural Networks to Decompile Optimized Binaries—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Can Neural Machine Translation be Improved with User Feedback?—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
Can Synthetic Translations Improve Bitext Quality?—0
Can Synthetic Translations Improve Bitext Quality?—0
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Categorizing Semantic Representations for Neural Machine Translation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Challenges of Neural Machine Translation for Short Texts—0
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