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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3300 of 10752 papers

TitleStatusHype
Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism—0
Efficient Solutions for Word Reordering in German-English Phrase-Based Statistical Machine Translation—0
Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation—0
Efficient techniques for parsing with tree automata—0
Efficient Terminology Integration for LLM-based Translation in Specialized Domains—0
Efficient Top-Down BTG Parsing for Machine Translation Preordering—0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Effort of Genre Variation and Prediction of System Performance—0
Efforts on Machine Learning over Human-mediated Translation Edit Rate—0
Efforts Towards Developing a Tamang Nepali Machine Translation System—0
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015—0
Enlisting the Ghost: Modeling Empty Categories for Machine Translation—0
Boosting Neural Networks to Decompile Optimized Binaries—0
E-law Module Supporting Lawyers in the Process of Knowledge Discovery from Legal Documents—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Eliciting Better Multilingual Structured Reasoning from LLMs through Code—0
Elissa: A Dialectal to Standard Arabic Machine Translation System—0
ELITR: European Live Translator—0
Coverage Embedding Models for Neural Machine Translation—0
Attention Calibration for Transformer in Neural Machine Translation—0
Embedded Controlled Languages—0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings—0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings—0
Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations—0
Embedding Register-Aware MT into the CAT Workflow—0
Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task—0
Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges—0
Embedding Word Similarity with Neural Machine Translation—0
EM Decipherment for Large Vocabularies—0
Attention-based Vocabulary Selection for NMT Decoding—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Emergent Translation in Multi-Agent Communication—0
Emerging Language Spaces Learned From Massively Multilingual Corpora—0
EMMeTT: Efficient Multimodal Machine Translation Training—0
EM-Network: Oracle Guided Self-distillation for Sequence Learning—0
Bootstrapping Phrase-based Statistical Machine Translation via WSD Integration—0
Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information—0
Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC—0
Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification—0
Empirical Evaluation of Supervision Signals for Style Transfer Models—0
Empirical Methods for the Study of Denotation in Nominalizations in Spanish—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Empirical Study of Dropout Scheme for Neural Machine Translation—0
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora—0
Empirical Study on Deep Learning Models for Question Answering—0
EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres—0
Counting What Counts: Decompounding for Keyphrase Extraction—0
Show:102550
← PrevPage 66 of 216Next →
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