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 2601–2650 of 10752 papers

TitleStatusHype
Datasets for Multilingual Answer Sentence Selection—0
Data Troubles in Sentence Level Confidence Estimation for Machine Translation—0
Data Weighted Training Strategies for Grammatical Error Correction—0
Dative Case in Telugu: A Parsing Perspective—0
DATScore: Evaluating Translation with Data Augmented Translations—0
DCEP -Digital Corpus of the European Parliament—0
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels—0
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding—0
DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task—0
DCU Participation in WMT2013 Metrics Task—0
DCU-SEManiacs at SemEval-2016 Task 1: Synthetic Paragram Embeddings for Semantic Textual Similarity—0
DCU-Symantec at the WMT 2013 Quality Estimation Shared Task—0
DCU-Symantec Submission for the WMT 2012 Quality Estimation Task—0
DCU System Report on the WMT 2017 Multi-modal Machine Translation Task—0
DCU Terminology Translation System for Medical Query Subtask at WMT14—0
DCU-UvA Multimodal MT System Report—0
Dealing with Data Sparseness in SMT with Factured Models and Morphological Expansion: a Case Study on Croatian—0
Dealing with Input Noise in Statistical Machine Translation—0
Dealing with Linguistic Divergences in English-Bhojpuri Machine Translation—0
Automatic Extraction of Implicit Interpretations from Modal Constructions—0
Dealing with the Paradox of Quality Estimation—0
Dealing with unknown words in statistical machine translation—0
Automatic Extraction of Synonyms for German Particle Verbs from Parallel Data with Distributional Similarity as a Re-Ranking Feature—0
DeBiasByUs: Raising Awareness and Creating a Database of MT Bias—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
Automatic Gender Identification and Reinflection in Arabic—0
Automatic generation of a 3D sign language avatar on AR glasses given 2D videos of human signers—0
Deciphering and Characterizing Out-of-Vocabulary Words for Morphologically Rich Languages—0
Deciphering Foreign Language by Combining Language Models and Context Vectors—0
Deciphering Related Languages—0
Decipherment Complexity in 1:1 Substitution Ciphers—0
Decision-making, Risk, and Gist Machine Translation in the Work of Patent Professionals—0
Decoder-based Discriminative Training of Phrase Segmentation for Statistical Machine Translation—0
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models—0
Automatic Identification of Aspectual Classes across Verbal Readings—0
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder—0
Critical Appraisal of Artificial Intelligence-Mediated Communication—0
Decoding and Diversity in Machine Translation—0
Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation—0
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models—0
Decoding Strategies for Neural Referring Expression Generation—0
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation—0
Decoding with Large-Scale Neural Language Models Improves Translation—0
Decoding with Value Networks for Neural Machine Translation—0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation—0
An Efficient Transformer Decoder with Compressed Sub-layers—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
Detecting and Understanding Generalization Barriers for Neural Machine Translation—0
Deep Bayesian Learning and Understanding—0
Detecting Content-Heavy Sentences: A Cross-Language Case Study—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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