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 8651–8700 of 10752 papers

TitleStatusHype
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation—0
Basic Principles for Segmenting Thai EDUs—0
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation—0
Batch Tuning Strategies for Statistical Machine Translation—0
BayesFormer: Transformer with Uncertainty Estimation—0
Bayesian Attention Belief Networks—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
Beam Search for Solving Substitution Ciphers—0
Beam Search Strategies for Neural Machine Translation—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
Benchmarking Azerbaijani Neural Machine Translation—0
Benchmarking Data-driven Automatic Text Simplification for German—0
Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving—0
Benchmarking Machine Translated Sentiment Analysis for Arabic Tweets—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Benchmarking of English-Hindi parallel corpora—0
Benchmarking SMT Performance for Farsi Using the TEP++ Corpus—0
Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Bengali to Assamese Statistical Machine Translation using Moses (Corpus Based)—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
BERT(s) to Detect Multiword Expressions—0
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore—0
BERT vs GPT for financial engineering—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Better Quality Estimation for Low Resource Corpus Mining—0
Better Statistical Machine Translation through Linguistic Treatment of Phrasal Verbs—0
Better Together: Modern Methods Plus Traditional Thinking in NP Alignment—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
Between Reading Time and Information Structure—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