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

Showing 59516000 of 10752 papers

TitleStatusHype
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task0
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task0
TencentFmRD Neural Machine Translation for WMT180
Tencent Neural Machine Translation Systems for WMT180
Tencent Neural Machine Translation Systems for the WMT20 News Translation Task0
Tencent submission for WMT20 Quality Estimation Shared Task0
TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling0
Tensor Decomposition for Model Reduction in Neural Networks: A Review0
TenTrans Large-Scale Multilingual Machine Translation System for WMT210
Termbase Exchange (TBX)0
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task0
Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting0
Terminology-Constrained Neural Machine Translation at SAP0
Terminology Resources and Terminology Work Benefit from Cloud Services0
TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission0
Terra: a Collection of Translation Error-Annotated Corpora0
TerrorCat: a Translation Error Categorization-based MT Quality Metric0
Testing for Significance of Increased Correlation with Human Judgment0
Testing Machine Translation via Referential Transparency0
Testing of Detection Tools for AI-Generated Text0
Testing Untestable Neural Machine Translation: An Industrial Case0
Testsuite on Czech--English Grammatical Contrasts0
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation0
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks0
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models0
Text Data Augmentation: Towards better detection of spear-phishing emails0
Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens0
Text Readability Classification of Textbooks of a Low-Resource Language0
APE at Scale and its Implications on MT Evaluation Biases0
Text segmentation for Language Identification in Greek Forums0
Text Simplification as Tree Labeling0
Text Simplification from Professionally Produced Corpora0
Text Simplification Tools for Spanish0
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili0
Textual Representations for Crosslingual Information Retrieval0
Textual Similarity as a Key Metric in Machine Translation Quality Estimation0
Thai Sentence Paraphrasing from the Lexical Resource0
That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory0
The 2019 BBN Cross-lingual Information Retrieval System0
The 2020s Political Economy of Machine Translation0
The ACCEPT Academic Portal: Bringing Together Pre-editing, MT and Post-editing into a Learning Environment0
The ACCEPT Portal: An Online Framework for the Pre-editing and Post-editing of User-Generated Content0
The ADAPT Bilingual Document Alignment system at WMT160
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task0
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task0
The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified