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 8201–8250 of 10752 papers

TitleStatusHype
Parallelizing Word2Vec in Shared and Distributed Memory—0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection—0
Prepositional Attachment Disambiguation Using Bilingual Parsing and Alignments—0
Pointing the Unknown Words—0
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response GenerationCode0
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer CorpusCode0
Multi-domain machine translation enhancements by parallel data extraction from comparable corpora—0
Tree-to-Sequence Attentional Neural Machine TranslationCode0
Character-based Neural Machine Translation—0
Optimization for Statistical Machine Translation: A Survey—0
Online Learning for Statistical Machine Translation—0
Multi-layer Representation Learning for Medical ConceptsCode0
Modeling Coverage for Neural Machine TranslationCode0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
Multimodal Pivots for Image Caption Translation—0
Smoothing parameter estimation framework for IBM word alignment models—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking—0
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism—0
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model—0
Multi-Source Neural TranslationCode0
Mutual Information and Diverse Decoding Improve Neural Machine TranslationCode0
Mapping it differently: A solution to the linking challenges—0
Semantic Textual Similarity in Quality Estimation—0
Optimizing Statistical Machine Translation for Text SimplificationCode0
Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian—0
Combining Translation Memories and Syntax-Based SMT: Experiments with Real Industrial Data—0
Patterns of Terminological Variation in Post-editing and of Cognate Use in Machine Translation in Contrast to Human Translation—0
Can Text Simplification Help Machine Translation?—0
Climbing Mont BLEU: The Strange World of Reachable High-BLEU Translations—0
Adapting to All Domains at Once: Rewarding Domain Invariance in SMTCode0
Potential and Limits of Using Post-edits as Reference Translations for MT Evaluation—0
Interactive-Predictive Translation Based on Multiple Word-Segments—0
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources—0
Comparing Translator Acceptability of TM and SMT Outputs—0
Stand-off Annotation of Web Content as a Legally Safer Alternative to Crawling for Distribution—0
A Portable Method for Parallel and Comparable Document Alignment—0
Re-assessing the Impact of SMT Techniques with Human Evaluation: a Case Study on English---Croatian—0
Detecting Grammatical Errors in Machine Translation Output Using Dependency Parsing and Treebank Querying—0
Predicting and Using Implicit Discourse Elements in Chinese-English Translation—0
Measuring Cognitive Translation Effort with Activity Units—0
Pivoting Methods and Data for Czech-Vietnamese Translation via English—0
A Graphical Pronoun Analysis Tool for the PROTEST Pronoun Evaluation Test Suite—0
Learning to Make Inferences in a Semantic Parsing Task—0
A Comparative Study of Post-editing Guidelines—0
Mapping and Generating Classifiers using an Open Chinese Ontology—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