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 9851–9900 of 10752 papers

TitleStatusHype
Implicitation of Discourse Connectives in (Machine) Translation—0
Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers—0
Joshua 5.0: Sparser, Better, Faster, Server—0
Joint WMT 2013 Submission of the QUAERO Project—0
Improving English-Russian sentence alignment through POS tagging and Damerau-Levenshtein distance—0
Are ACT's Scores Increasing with Better Translation Quality?—0
Improving MT System Using Extracted Parallel Fragments of Text from Comparable Corpora—0
Investigations in Exact Inference for Hierarchical Translation—0
A Phrase Orientation Model for Hierarchical Machine Translation—0
A Pilot Study of Readability Prediction with Reading Time—0
Investigating Connectivity and Consistency Criteria for Phrase Pair Extraction in Statistical Machine Translation—0
Integrating morpho-syntactic features in English-Arabic statistical machine translation—0
Building a German/Simple German Parallel Corpus for Automatic Text Simplification—0
Dependency and Constituency in Translation Shift Analysis—0
PhraseFix: Statistical Post-Editing of TectoMT—0
Using unlabeled dependency parsing for pre-reordering for Chinese-to-Japanese statistical machine translation—0
Using WordNet and Semantic Similarity for Bilingual Terminology Mining from Comparable Corpora—0
The Karlsruhe Institute of Technology Translation Systems for the WMT 2013—0
Utilizing State-of-the-art Parsers to Diagnose Problems in Treebank Annotation for a Less Resourced Language—0
VARTRA: A Comparable Corpus for Analysis of Translation Variation—0
The Feasibility of HMEANT as a Human MT Evaluation Metric—0
The C-Score -- Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification—0
The CNGL-DCU-Prompsit Translation Systems for WMT13—0
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References—0
WebWOZ: A Platform for Designing and Conducting Web-based Wizard of Oz Experiments—0
Two Approaches to Correcting Homophone Confusions in a Hybrid Machine Translation System—0
Tweet Conversation Annotation Tool with a Focus on an Arabic Dialect, Moroccan Darija—0
Using character overlap to improve language transformation—0
Tunable Distortion Limits and Corpus Cleaning for SMT—0
T\"UB\.ITAK-B\.ILGEM German-English Machine Translation Systems for W13—0
Using a Random Forest Classifier to recognise translations of biomedical terms across languages—0
The University of Cambridge Russian-English System at WMT13—0
Towards Building Parallel Dependency Treebanks: Intra-Chunk Expansion and Alignment for English Dependency Treebank—0
The (Un)faithful Machine Translator—0
Towards Efficient Large-Scale Feature-Rich Statistical Machine Translation—0
Translation of ``It'' in a Deep Syntax Framework—0
Workshop on Hybrid Approaches to Translation: Overview and Developments—0
The TALP-UPC Phrase-Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering—0
The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests—0
The Representation of Czech Light Verb Constructions in a Valency Lexicon—0
Yandex School of Data Analysis Machine Translation Systems for WMT13—0
The RWTH Aachen Machine Translation System for WMT 2013—0
A Case Study Towards Turkish Paraphrase Alignment—0
Multilingual WSD-like Constraints for Paraphrase Extraction—0
Constrained Grammatical Error Correction using Statistical Machine Translation—0
IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction—0
A Tree Transducer Model for Grammatical Error Correction—0
NAIST at 2013 CoNLL Grammatical Error Correction Shared Task—0
UM-Checker: A Hybrid System for English Grammatical Error Correction—0
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus—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