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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 151–200 of 1773 papers

TitleStatusHype
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translating from Natural Language to SPARQLCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Neural Machine Translation with Phrase-Level Universal Visual RepresentationsCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
Continuous Language Generative FlowCode1
Neural Machine Translation with Universal Visual RepresentationCode1
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine TranslationCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Unifying the Convergences in Multilingual Neural Machine TranslationCode1
How do lexical semantics affect translation? An empirical studyCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Active Learning for Neural Machine TranslationCode0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character LevelCode0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Identifying Complaints from Product Reviews: A Case Study on HindiCode0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian LanguagesCode0
An Evaluation of Neural Machine Translation Models on Historical Spelling NormalizationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
First the worst: Finding better gender translations during beam searchCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
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