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 6901–6950 of 10752 papers

TitleStatusHype
Interpreting Strategies Annotation in the WAW Corpus—0
A Multiform Balanced Dependency Treebank for Romanian—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
Comparing Machine Translation and Human Translation: A Case Study—0
Combining the output of two coreference resolution systems for two source languages to improve annotation projection—0
Formalization of Speech Verbs with NooJ for Machine Translation: the French Verb accuser—0
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task—0
Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering—0
Collecting fluency corrections for spoken learner English—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
Finite-State Morphological Analysis for Marathi—0
Word Representations in Factored Neural Machine Translation—0
Coarse-to-Fine Attention Models for Document Summarization—0
Findings of the WMT 2017 Biomedical Translation Shared Task—0
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction—0
Findings of the 2017 Conference on Machine Translation (WMT17)—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
The TALP-UPC Neural Machine Translation System for German/Finnish-English Using the Inverse Direction Model in Rescoring—0
Feature-Enriched Character-Level Convolutions for Text Regression—0
Splitting Complex English Sentences—0
Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge—0
FBK's Participation to the English-to-German News Translation Task of WMT 2017—0
chrF++: words helping character n-grams—0
Projection of Argumentative Corpora from Source to Target Languages—0
Extending hybrid word-character neural machine translation with multi-task learning of morphological analysis—0
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation—0
CASICT-DCU Neural Machine Translation Systems for WMT17—0
Treatment of Markup in Statistical Machine Translation—0
Evaluation of Finite State Morphological Analyzers Based on Paradigm Extraction from Wiktionary—0
Evaluation of a Runyankore grammar engine for healthcare messages—0
Evaluating the morphological competence of Machine Translation SystemsCode0
C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17Code0
Byte-based Neural Machine Translation—0
NICT-NAIST System for WMT17 Multimodal Translation Task—0
Structured Generation of Technical Reading Lists—0
Building a SentiWordNet for Odia—0
Neural Post-Editing Based on Quality Estimation—0
Neural Paraphrase Generation using Transfer Learning—0
The AFRL WMT17 Neural Machine Translation Training Task Submission—0
Neural Machine Translation for Cross-Lingual Pronoun Prediction—0
Boundary-based MWE segmentation with text partitioning—0
Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
Target-side Word Segmentation Strategies for Neural Machine Translation—0
The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017—0
Multi-Domain Neural Machine Translation through Unsupervised Adaptation—0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids—0
Effective Domain Mixing for Neural Machine Translation—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