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

Showing 74017450 of 10752 papers

TitleStatusHype
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation0
Multilingual Multi-modal Embeddings for Natural Language Processing0
Structured Attention Networks0
Predicting Target Language CCG Supertags Improves Neural Machine Translation0
Using English as Pivot to Extract Persian-Italian Parallel Sentences from Non-Parallel Corpora0
Deep Reinforcement Learning: An OverviewCode0
Deep Network Guided Proof Search0
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts LayerCode2
Regularizing Neural Networks by Penalizing Confident Output DistributionsCode0
Learning to Decode for Future Success0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation0
Machine Translation Approaches and Survey for Indian Languages0
QCRI Machine Translation Systems for IWSLT 160
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language DirectionsCode0
Towards Decoding as Continuous Optimization in Neural Machine Translation0
Bidirectional American Sign Language to English Translation0
OpenNMT: Open-Source Toolkit for Neural Machine TranslationCode0
Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English0
Skip-Prop: Representing Sentences with One Vector Per Proposition0
Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges0
Error Analysis of Cross-lingual Tagging and ParsingCode0
Sense Embeddings in Knowledge-Based Word Sense DisambiguationCode0
Querying Multi-word Expressions Annotation with CQL0
Dual Embeddings and Metrics for Relational Similarity0
Literal readings of multiword expressions: as scarce as hen's teeth0
LexSubNC: A Dataset of Lexical Substitution for Nominal Compounds0
Universal Dependencies-based syntactic features in detecting human translation varieties0
Dangerous Relations in Dependency Treebanks0
If Sentences Could See: Investigating Visual Information for Semantic Textual Similarity0
Graph Databases for Designing High-Performance Speech Recognition Grammars0
Nonparametric Bayesian Semi-supervised Word Segmentation0
A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit0
Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation0
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing0
Joint Prediction of Word Alignment with Alignment Types0
Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions0
Fast Domain Adaptation for Neural Machine Translation0
Grammar rules for the isiZulu complex verb0
Neural Machine Translation from Simplified Translations0
Domain specialization: a post-training domain adaptation for Neural Machine Translation0
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation0
Domain Control for Neural Machine Translation0
Boosting Neural Machine Translation0
Neural Networks Classifier for Data Selection in Statistical Machine TranslationCode0
Deep Learning and Its Applications to Machine Health Monitoring: A SurveyCode0
Building a robust sentiment lexicon with (almost) no resource0
Multilingual Word Embeddings using Multigraphs0
Unsupervised Clustering of Commercial Domains for Adaptive Machine Translation0
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation PairsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified