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 5851–5900 of 10752 papers

TitleStatusHype
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding—0
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism—0
Bringing back simplicity and lightliness into neural image captioning—0
UMONS Submission for WMT18 Multimodal Translation TaskCode0
Simple and Effective Text Simplification Using Semantic and Neural Methods—0
Improving Neural Text Simplification Model with Simplified Corpora—0
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms—0
Image Captioning as Neural Machine Translation Task in SOCKEYE—0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Assessing Crosslingual Discourse Relations in Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine TranslationCode0
Learning to Segment Inputs for NMT Favors Character-Level Processing—0
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information—0
Annotation of a Large Clinical Entity Corpus—0
Phrase-Based \& Neural Unsupervised Machine Translation—0
An Unsupervised System for Parallel Corpus Filtering—0
Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting—0
Robust parfda Statistical Machine Translation Results—0
Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings—0
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data—0
Testsuite on Czech--English Grammatical Contrasts—0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 2018—0
Multi-Domain Neural Machine Translation with Word-Level Domain Context DiscriminationCode0
LMU Munich's Neural Machine Translation Systems at WMT 2018—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
The AFRL WMT18 Systems: Ensembling, Continuation and Combination—0
Adversarial Evaluation of Multimodal Machine Translation—0
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings—0
Heuristically Informed Unsupervised Idiom Usage Recognition—0
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models—0
PROMT Systems for WMT 2018 Shared Translation Task—0
Cross-lingual Knowledge Graph Alignment via Graph Convolutional NetworksCode0
Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation—0
Fixing Translation Divergences in Parallel Corpora for Neural MTCode0
Semantics as a Foreign Language—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
NTT's Neural Machine Translation Systems for WMT 2018—0
ITER: Improving Translation Edit Rate through Optimizable Edit Costs—0
The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional—0
Neural Machine Translation for English-TamilCode0
Ensemble of Translators with Automatic Selection of the Best Translation -- the submission of FOKUS to the WMT 18 biomedical translation task --—0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora—0
Quality Estimation with Force-Decoded Attention and Cross-lingual Embeddings—0
Improving Neural Language Models with Weight Norm Initialization and Regularization—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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