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 1401–1450 of 10752 papers

TitleStatusHype
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
A Neural Machine Translation Approach to Translate Text to Pictographs in a Medical Speech Translation System - The BabelDr Use Case—0
A neural interlingua for multilingual machine translation—0
AET: Web-based Adjective Exploration Tool for German—0
A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices—0
Beam Search for Solving Substitution Ciphers—0
A Conventional Orthography for Tunisian Arabic—0
4FX: Light Verb Constructions in a Multilingual Parallel Corpus—0
Bitextor's participation in WMT'16: shared task on document alignment—0
BIT's system for the AutoSimTrans 2020—0
A Neural Architecture for Dialectal Arabic Segmentation—0
A Neural Approach to Pun Generation—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
A Neural Approach to Language Variety Translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
A Dynamic Confusion Score for Dependency Arc Labels—0
A contrastive review of paraphrase acquisition techniques—0
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition—0
Bayesian Attention Belief Networks—0
An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian—0
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation—0
BayesFormer: Transformer with Uncertainty Estimation—0
Batch Tuning Strategies for Statistical Machine Translation—0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation—0
Adversarial Training with Contrastive Learning in NLP—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
Bayesian Kernel Methods for Natural Language Processing—0
Bayesian Language Modelling of German Compounds—0
Bayesian Layers: A Module for Neural Network Uncertainty—0
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation—0
Bayesian Optimisation for Machine Translation—0
Bayesian Reordering Model with Feature Selection—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—0
Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing—0
Bayesian Synchronous Grammar Induction—0
Bayesian Word Alignment for Massively Parallel Texts—0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity—0
Basic Principles for Segmenting Thai EDUs—0
Beam Search Strategies for Neural Machine Translation—0
A Neural Entity Coreference Resolution Review—0
BEER: BEtter Evaluation as Ranking—0
BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts—0
Being Generous with Sub-Words towards Small NMT Children—0
BEL: Bagging for Entity Linking—0
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices—0
A Neural Model for Language Identification in Code-Switched Tweets—0
Benchmarking Azerbaijani Neural Machine Translation—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—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