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 7551–7600 of 10752 papers

TitleStatusHype
Language Model Based Grammatical Error Correction without Annotated Training Data—0
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition—0
Language Model-Driven Unsupervised Neural Machine Translation—0
Language Modeling at Scale—0
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis—0
Language Modeling with Power Low Rank Ensembles—0
Language Modelling Approaches to Adaptive Machine Translation—0
Language Modelling with NMT Query Translation for Amharic-Arabic Cross-Language Information Retrieval—0
Language Model Rest Costs and Space-Efficient Storage—0
Language Models and Cycle Consistency for Self-Reflective Machine Translation—0
Language Models are Good Translators—0
Language Model Self-improvement by Reinforcement Learning Contemplation—0
Language Models for Machine Translation: Original vs. Translated Texts—0
Language Planning in Action: Depiction as a Driver of New Terminology in Irish Sign Language—0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
Language Portability Strategies for Open-domain Dialogue with Pre-trained Language Models from High to Low Resource Languages—0
Language Production Dynamics with Recurrent Neural Networks—0
Language rehabilitation of people with BROCA aphasia using deep neural machine translation—0
Language Related Issues for Machine Translation between Closely Related South Slavic Languages—0
Language Relatedness and Lexical Closeness can help Improve Multilingual NMT: IITBombay@MultiIndicNMT WAT2021—0
Language Resource Building and English-to-Mizo Neural Machine Translation Encountering Tonal Words—0
Language Resources Factory: case study on the acquisition of Translation Memories—0
Language Resources to Support Language Diversity – the ELRA Achievements—0
Language Tags Matter for Zero-Shot Neural Machine Translation—0
Language Technologies for the Creation of Multilingual Terminologies. Lessons Learned from the SSHOC Project—0
Language Technology for Multilingual Europe: An Analysis of a Large-Scale Survey regarding Challenges, Demands, Gaps and Needs—0
Language verY Rare for All—0
Large aligned treebanks for syntax-based machine translation—0
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning—0
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics—0
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?—0
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction—0
Large Language Models as Span Annotators—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions—0
Large Margin Neural Language Model—0
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation—0
Large Scale Arabic Error Annotation: Guidelines and Framework—0
Large Scale Decipherment for Out-of-Domain Machine Translation—0
Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features—0
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search—0
Large-scale Exact Decoding: The IMS-TTT submission to WMT14—0
Large-scale Expected BLEU Training of Phrase-based Reordering Models—0
Large Scale Lexical Analysis—0
Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results—0
Large-scale Machine Translation Evaluation of the iADAATPA Project—0
Large-scale Multitask Learning for Machine Translation Quality Estimation—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs—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