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 8901–8950 of 10752 papers

TitleStatusHype
English to Punjabi Transliteration using Orthographic and Phonetic Information—0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach—0
SMT from Agglutinative Languages: Use of Suffix Separation and Word Splitting—0
How Sentiment Analysis Can Help Machine Translation—0
How to Know the Best Machine Translation System in Advance before Translating a Sentence?—0
A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing—0
Merging Verb Senses of Hindi WordNet using Word Embeddings—0
Anou Tradir: Experiences In Building Statistical Machine Translation Systems For Mauritian Languages -- Creole, English, French—0
AutoParSe: An Automatic Paradigm Selector For Nouns in Konkani—0
Correlating decoding events with errors in Statistical Machine Translation—0
Latent Trees for Coreference Resolution—0
Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsCode0
The Effect of Dependency Representation Scheme on Syntactic Language Modelling—0
OCR and Automated Translation for the Navigation of non-English Handsets: A Feasibility Study with Arabic—0
Sinhala-Tamil Machine Translation: Towards better Translation Quality—0
An analysis of a French as a Foreign Language Corpus for Readability Assessment—0
Addressing the Rare Word Problem in Neural Machine TranslationCode0
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation—0
Using Mechanical Turk to Build Machine Translation Evaluation Sets—0
A Modality Lexicon and its use in Automatic Tagging—0
POLYGLOT-NER: Massive Multilingual Named Entity Recognition—0
Not All Neural Embeddings are Born Equal—0
Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation—0
On the Properties of Neural Machine Translation: Encoder--Decoder Approaches—0
Reducing the Impact of Data Sparsity in Statistical Machine Translation—0
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation—0
Local Phrase Reordering Model for Chinese-English Patent Machine Translation—0
Syntax and Semantics in Quality Estimation of Machine Translation—0
Word's Vector Representations meet Machine Translation—0
Vector Space Models for Phrase-based Machine Translation—0
Toshiba MT System Description for the WAT2014 Workshop—0
Word Order Does NOT Differ Significantly Between Chinese and Japanese—0
Weblio Pre-reordering Statistical Machine Translation System—0
The SAS Statistical Machine Translation System for WAT 2014—0
System Description: Dependency-based Pre-ordering for Japanese-Chinese Machine Translation—0
Forest-to-String SMT for Asian Language Translation: NAIST at WAT 2014—0
KyotoEBMT System Description for the 1st Workshop on Asian Translation—0
A machine translation system combining rule-based machine translation and statistical post-editing—0
Bilingual Sentence Alignment of a Parallel Corpus by Using English as a Pivot Language—0
Japanese to English Machine Translation using Preordering and Compositional Distributed Semantics—0
Proceedings of the 1st Workshop on Asian Translation (WAT2014)—0
Overview of the 1st Workshop on Asian Translation—0
Consistent Improvement in Translation Quality of Chinese-Japanese Technical Texts by Adding Additional Quasi-parallel Training Data—0
Predicate-Argument Structure-based Preordering for Japanese-English Statistical Machine Translation of Scientific Papers—0
Handling OOV Words in Dialectal Arabic to English Machine Translation—0
CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction—0
Cross-lingual Dependency Parsing of Related Languages with Rich Morphosyntactic Tagsets—0
Proper Name Machine Translation from Japanese to Japanese Sign Language—0
Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic—0
Foreign Words and the Automatic Processing of Arabic Social Media Text Written in Roman Script—0
Show:102550
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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