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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 251–300 of 1773 papers

TitleStatusHype
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
Identifying Complaints from Product Reviews: A Case Study on HindiCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Adaptive Weighting for Neural Machine TranslationCode0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
How do lexical semantics affect translation? An empirical studyCode0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
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
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
A Tulu Resource for Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Attention Forcing for Machine TranslationCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
A Tree-based Decoder for Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
First the worst: Finding better gender translations during beam searchCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
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