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 8851–8900 of 10752 papers

TitleStatusHype
BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora—0
BUCC 2017 Shared Task: a First Attempt Toward a Deep Learning Framework for Identifying Parallel Sentences in Comparable Corpora—0
BUCEADOR, a multi-language search engine for digital libraries—0
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation—0
Buildind a Resource of Patterns Using Semantic Types—0
Building a 70 billion word corpus of English from ClueWeb—0
Building a Better Bitext for Structurally Different Languages through Self-training—0
Building A Case-based Semantic English-Chinese Parallel Treebank—0
Building a Corpus for Corporate Websites Machine Translation Evaluation. A Step by Step Methodological Approach—0
Building a Corpus of Errors and Quality in Machine Translation: Experiments on Error Impact—0
Building a Dataset of Multilingual Cognates for the Romanian Lexicon—0
Building a Functional Machine Translation Corpus for Kpelle—0
Building a German/Simple German Parallel Corpus for Automatic Text Simplification—0
Building A Handwritten Cuneiform Character Imageset—0
Building a Hierarchically Aligned Chinese-English Parallel Treebank—0
Building a Macro Chinese Discourse Treebank—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation—0
Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation—0
Building and Modelling Multilingual Subjective Corpora—0
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Building a reordering system using tree-to-string hierarchical model—0
Building a robust sentiment lexicon with (almost) no resource—0
Building a SentiWordNet for Odia—0
Building a Spanish-German Dictionary for Hybrid MT—0
Building a State-of-the-Art Grammatical Error Correction System—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Building a Translation Memory to Improve Machine Translation Coverage and Quality—0
Building Comparable Corpora Based on Bilingual LDA Model—0
Building Comparable Corpora for Assessing Multi-Word Term Alignment—0
Building Dialectal Arabic Corpora—0
Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures—0
Building English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles—0
Building hybrid machine translation systems by using an EBMT preprocessor to create partial translations—0
Building Intelligent Autonomous Navigation Agents—0
Building Lexical Vector Representations from Concept Definitions—0
Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction—0
Building Machine Translation Systems for the Next Thousand Languages—0
Building Metadata Inference Using a Transducer Based Language Model—0
Building Monolingual Word Alignment Corpus for the Greater China Region—0
Building Multilingual Lexical Resources using Wordnets: Structure, Design and Implementation—0
Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations—0
Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations—0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System—0
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings—0
Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge—0
Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs—0
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing—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