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 9251–9300 of 10752 papers

TitleStatusHype
Unsupervised Feature Learning for Visual Sign Language Identification—0
Transforming trees into hedges and parsing with ``hedgebank'' grammars—0
Using Discourse Structure Improves Machine Translation Evaluation—0
Knowledge-Based Question Answering as Machine Translation—0
Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval—0
Hierarchical MT Training using Max-Violation Perceptron—0
Effective Selection of Translation Model Training Data—0
Response-based Learning for Grounded Machine Translation—0
Learning Continuous Phrase Representations for Translation Modeling—0
Learning Topic Representation for SMT with Neural Networks—0
Hippocratic Abbreviation Expansion—0
Learning Ensembles of Structured Prediction Rules—0
Normalizing tweets with edit scripts and recurrent neural embeddings—0
A joint inference of deep case analysis and zero subject generation for Japanese-to-English statistical machine translation—0
Learning Polylingual Topic Models from Code-Switched Social Media Documents—0
A Sense-Based Translation Model for Statistical Machine Translation—0
Fast and Robust Neural Network Joint Models for Statistical Machine Translation—0
Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation—0
Bilingually-constrained Phrase Embeddings for Machine Translation—0
Refinements to Interactive Translation Prediction Based on Search Graphs—0
Faster Phrase-Based Decoding by Refining Feature State—0
Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages—0
Improving Text Normalization via Unsupervised Model and Discriminative Reranking—0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation—0
Metaphor Detection with Cross-Lingual Model TransferCode0
Recurrent Neural Networks for Word Alignment Model—0
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation—0
A Constrained Viterbi Relaxation for Bidirectional Word Alignment—0
Optimizing Segmentation Strategies for Simultaneous Speech Translation—0
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney SmoothingCode0
Improving Lexical Embeddings with Semantic KnowledgeCode0
Predicting Grammaticality on an Ordinal Scale—0
Generalized Character-Level Spelling Error Correction—0
Constructing a Turkish-English Parallel TreeBank—0
Low-Resource Semantic Role Labeling—0
Adaptive HTER Estimation for Document-Specific MT Post-Editing—0
Going beyond sentences when applying tree kernels—0
Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data—0
Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data—0
Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT—0
A Recursive Recurrent Neural Network for Statistical Machine Translation—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Assessing the Discourse Factors that Influence the Quality of Machine Translation—0
Semantics, Discourse and Statistical Machine Translation—0
On the Elements of an Accurate Tree-to-String Machine Translation System—0
Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors—0
KyotoEBMT: An Example-Based Dependency-to-Dependency Translation Framework—0
Automatic Detection of Cognates Using Orthographic Alignment—0
Adaptive Quality Estimation for Machine Translation—0
Automatic Detection of Machine Translated Text and Translation Quality Estimation—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