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 7001–7050 of 10752 papers

TitleStatusHype
NICT-NAIST System for WMT17 Multimodal Translation Task—0
Proceedings of the Second Conference on Machine Translation—0
CUNI System for WMT17 Automatic Post-Editing Task—0
CUNI System for the WMT17 Multimodal Translation Task—0
CUNI submission in WMT17: Chimera goes neural—0
CUNI Experiments for WMT17 Metrics Task—0
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles—0
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings—0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0—0
NRC Machine Translation System for WMT 2017—0
Boundary-based MWE segmentation with text partitioning—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—0
Corpus Creation and Initial SMT Experiments between Spanish and Shipibo-konibo—0
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction—0
Copied Monolingual Data Improves Low-Resource Neural Machine Translation—0
On Integrating Discourse in Machine Translation—0
Controlling Human Perception of Basic User Traits—0
Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation—0
Contextual Hyperedge Replacement Grammars for Abstract Meaning Representations—0
Predicting Translation Performance with Referential Translation Machines—0
Connecting the Dots: Towards Human-Level Grammatical Error Correction—0
Structured Generation of Technical Reading Lists—0
Predicting Pronouns with a Convolutional Network and an N-gram Model—0
Building a SentiWordNet for Odia—0
Building Dialectal Arabic Corpora—0
Splitting Complex English Sentences—0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System—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
Bulgarian-English and English-Bulgarian Machine Translation: System Design and Evaluation—0
Byte-based Neural Machine Translation—0
C-3MA: Tartu-Riga-Zurich Translation Systems for WMT17Code0
Collecting fluency corrections for spoken learner English—0
Coarse-to-Fine Attention Models for Document Summarization—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
PJIIT's systems for WMT 2017 Conference—0
Classification of telicity using cross-linguistic annotation projectionCode0
Parameter Transfer across Domains for Word Sense Disambiguation—0
Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge—0
CASICT-DCU Neural Machine Translation Systems for WMT17—0
chrF++: words helping character n-grams—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
Stack-based Multi-layer Attention for Transition-based Dependency Parsing—0
A BiLSTM-based System for Cross-lingual Pronoun Prediction—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language—0
What is it? Disambiguating the different readings of the pronoun `it'—0
TransBank: Metadata as the Missing Link between NLP and Traditional Translation Studies—0
Translating Dialectal Arabic as Low Resource Language using Word Embedding—0
Translating Implicit Discourse Connectives Based on Cross-lingual Annotation and Alignment—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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