SOTAVerified

Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 5751–5800 of 10752 papers

TitleStatusHype
Cross-Lingual Approaches to Reference Resolution in Dialogue Systems—0
Stochastic Gradient Push for Distributed Deep LearningCode0
Sentence Encoding with Tree-constrained Relation Networks—0
Connecting the Dots Between MLE and RL for Sequence Prediction—0
A Hierarchical Neural Network for Sequence-to-Sequences Learning—0
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma PredictionCode0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Neural Machine Translation with Adequacy-Oriented Learning—0
Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical RepresentationsCode0
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task—0
Modeling Coherence for Discourse Neural Machine Translation—0
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks—0
Towards Neural Machine Translation for African LanguagesCode0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
Phonetic-attention scoring for deep speaker features in speaker verification—0
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities—0
Data Selection with Feature Decay Algorithms Using an Approximated Target Side—0
Towards Fluent Translations from Disfluent Speech—0
UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networks—0
Off-the-Shelf Unsupervised NMT—0
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction PredictionCode0
Neural Phrase-to-Phrase Machine Translation—0
Compact Personalized Models for Neural Machine Translation—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
Improving Zero-Shot Translation of Low-Resource LanguagesCode0
Identifying and Controlling Important Neurons in Neural Machine Translation—0
Margin-based Parallel Corpus Mining with Multilingual Sentence EmbeddingsCode0
An Empirical Exploration of Curriculum Learning for Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Prior Knowledge Integration for Neural Machine Translation using Posterior RegularizationCode0
Neural Machine Translation into Language Varieties—0
Convolutions Are All You Need (For Classifying Character Sequences)—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
An Analysis of Encoder Representations in Transformer-Based Machine Translation—0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM—0
Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methodsCode0
CLEAR -- Simple Corpus for Medical French—0
Content Aware Source Code Change Description Generation—0
Decoding Strategies for Neural Referring Expression Generation—0
Demonstrating the MUSTE Language Learning Environment—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
Enriching the WebNLG corpusCode0
Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation—0
Extracting Syntactic Trees from Transformer Encoder Self-Attentions—0
Hybrid Self-Attention Network for Machine Translation—0
Importance of Self-Attention for Sentiment Analysis—0
Improving Machine Translation of English Relative Clauses with Automatic Text Simplification—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified