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 9901–9950 of 10752 papers

TitleStatusHype
Translation Memory Guided Neural Machine Translation—0
Translation Memory Systems Have a Long Way to Go—0
Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information—0
Translation Model Adaptation Using Genre-Revealing Text Features—0
Translation Model Based Cross-Lingual Language Model Adaptation: from Word Models to Phrase Models—0
Translation Modeling with Bidirectional Recurrent Neural Networks—0
Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation—0
Translation of Biomedical Documents with Focus on Spanish-English—0
Translation of ``It'' in a Deep Syntax Framework—0
Translation of Multifaceted Data without Re-Training of Machine Translation Systems—0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation—0
Translation Of Telugu-Marathi and Vice-Versa using Rule Based Machine Translation—0
Translation of TO infinitives in Anusaaraka Platform: an English Hindi MT system—0
Translation of Unseen Bigrams by Analogy Using an SVM Classifier—0
Translation Quality and Effort: Options versus Post-editing—0
Translation Quality and Effort Prediction in Professional Machine Translation Post-Editing—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models—0
Translation Quality Estimation using Recurrent Neural Network—0
Translation Quality Metrics—0
Translation Rules with Right-Hand Side Lattices—0
Translations of Ambiguous Hindi Pronouns to Possible Bengali Pronouns—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
Word Embeddings for Code-Mixed Language Processing—0
Translation Using JAPIO Patent Corpora: JAPIO at WAT2016—0
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling—0
Translation with Source Constituency and Dependency Trees—0
The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task—0
The MateCat Tool—0
TransLaw: Benchmarking Large Language Models in Multi-Agent Simulation of the Collaborative Translation—0
Transliteration and alignment of parallel texts from Cyrillic to Latin—0
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base—0
Transliteration Mining Using Large Training and Test Sets—0
The MADAR Arabic Dialect Corpus and Lexicon—0
Translog-II: a Program for Recording User Activity Data for Empirical Reading and Writing Research—0
TranSmart: A Practical Interactive Machine Translation System—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
Word-Formation Network for Czech—0
TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
The LTRC Hindi-Telugu Parallel Corpus—0
The LREC Workshops Map—0
Word-Graph2vec: An efficient word embedding approach on word co-occurrence graph using random walk technique—0
Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers—0
Treatment of Markup in Statistical Machine Translation—0
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts—0
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM—0
Tree2Tree Learning with Memory Unit—0
TREE ADJOINING GRAMMAR BASED “LANGUAGE INDEPENDENT GENERATOR”—0
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation—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