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 4251–4300 of 10752 papers

TitleStatusHype
A Fast and Accurate Dependency Parser using Neural Networks—0
Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax—0
Benchmarking Data-driven Automatic Text Simplification for German—0
Disambiguation of pre/post positions in English - Malayalam Text Translation—0
Benchmarking Azerbaijani Neural Machine Translation—0
A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer—0
Disambiguating Symbolic Expressions in Informal Documents—0
Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data—0
Disambiguated Lexically Constrained Neural Machine Translation—0
Dirt Cheap Web-Scale Parallel Text from the Common Crawl—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
A Neural Model for Language Identification in Code-Switched Tweets—0
A Factory of Comparable Corpora from Wikipedia—0
A Convex Alternative to IBM Model 2—0
Direct Speech to Speech Translation: A Review—0
Direct Speech-to-Speech Neural Machine Translation: A Survey—0
BEL: Bagging for Entity Linking—0
DirectQE: Direct Pretraining for Machine Translation Quality Estimation—0
Being Generous with Sub-Words towards Small NMT Children—0
A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case—0
BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Direct Loss Minimization for Structured Prediction—0
BEER: BEtter Evaluation as Ranking—0
A neural interlingua for multilingual machine translation—0
AET: Web-based Adjective Exploration Tool for German—0
Direct Exploitation of Attention Weights for Translation Quality Estimation—0
Direct Error Rate Minimization for Statistical Machine Translation—0
Beam Search Strategies for Neural Machine Translation—0
DiP Benchmark Tests: Evaluation Benchmarks for Discourse Phenomena in MT—0
Beam Search for Solving Substitution Ciphers—0
A Neural Entity Coreference Resolution Review—0
A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices—0
A Conventional Orthography for Tunisian Arabic—0
A cascade approach for complex-type classification—0
Dimension Projection among Languages based on Pseudo-relevant Documents for Query Translation—0
Bayesian Word Alignment for Massively Parallel Texts—0
Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Bayesian Synchronous Grammar Induction—0
A Neural Architecture for Dialectal Arabic Segmentation—0
Diformer: Directional Transformer for Neural Machine Translation—0
A Survey of Diffusion Models in Natural Language Processing—0
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing—0
DiffusER: Discrete Diffusion via Edit-based Reconstruction—0
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—0
A Neural Approach to Pun Generation—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
Bayesian Reordering Model with Feature Selection—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