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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10451–10500 of 10752 papers

TitleStatusHype
Using paraphrases for improving first story detection in news and Twitter—0
Traduction automatique \`a partir de corpus comparables: extraction de phrases parall\`eles \`a partir de donn\'ees comparables multimodales (Automatic Translation from Comparable corpora : extracting parallel sentences from multimodal comparable corpora) [in French]—0
The RWTH Aachen Machine Translation System for WMT 2012—0
Using Categorial Grammar to Label Translation Rules—0
Tree Kernels for Machine Translation Quality Estimation—0
Implicitly Intersecting Weighted Automata using Dual Decomposition—0
Optimization Strategies for Online Large-Margin Learning in Machine Translation—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
Rep\'erage des entit\'es nomm\'ees pour l'arabe : adaptation non-supervis\'ee et combinaison de syst\`emes (Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination) [in French]—0
Graph-based alignment of narratives for automated neurological assessment—0
Application d'un algorithme de traduction statistique \`a la normalisation de textos (Applying a Statistical Machine Translation Algorithm to SMS Text Message Normalization) [in French]—0
TerrorCat: a Translation Error Categorization-based MT Quality Metric—0
Are You Sure? Confidence in Prediction of Dependency Tree Edges—0
Class error rates for evaluation of machine translation output—0
LIMSI @ WMT12—0
PREFER: Using a Graph-Based Approach to Generate Paraphrases for Language Learning—0
Kriya - The SFU System for Translation Task at WMT-12—0
Machine Translation of Arabic Dialects—0
Leave-One-Out Phrase Model Training for Large-Scale Deployment—0
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding—0
Deep Neural Network Language Models—0
Optimized Online Rank Learning for Machine Translation—0
Every sensible extended top-down tree transducer is a multi bottom-up tree transducer—0
Syntax-aware Phrase-based Statistical Machine Translation: System Description—0
Analysing the Effect of Out-of-Domain Data on SMT Systems—0
Encouraging Consistent Translation Choices—0
Quality estimation for Machine Translation output using linguistic analysis and decoding features—0
Combining Compositionality and Pagerank for the Identification of Semantic Relations between Biomedical Words—0
Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives—0
GHKM Rule Extraction and Scope-3 Parsing in Moses—0
Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation—0
Fine-Grained Focus for Pinpointing Positive Implicit Meaning from Negated Statements—0
Insertion and Deletion Models for Statistical Machine Translation—0
A Pilot PropBank Annotation for Quranic Arabic—0
Alignement sous-phrastique hi\'erarchique avec Anymalign (Hierarchical Sub-Sentential Alignment with Anymalign) [in French]—0
CCG Syntactic Reordering Models for Phrase-based Machine Translation—0
Revisiting the Case for Explicit Syntactic Information in Language Models—0
Offline Sentence Processing Measures for testing Readability with Users—0
Morpheme- and POS-based IBM1 and language model scores for translation quality estimation—0
Probes in a Taxonomy of Factored Phrase-Based Models—0
Comparing human perceptions of post-editing effort with post-editing operations—0
Linguistic Features for Quality Estimation—0
Improving AMBER, an MT Evaluation Metric—0
Arabic Dialect Processing Tutorial—0
Semantic Textual Similarity for MT evaluation—0
Machine Learning for Hybrid Machine Translation—0
LIUM's SMT Machine Translation Systems for WMT 2012—0
A Challenge Set for Advancing Language Modeling—0
Fully Automatic Semantic MT Evaluation—0
Selecting Data for English-to-Czech Machine Translation—0
Show:102550
← PrevPage 210 of 216Next →
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