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 39013950 of 10752 papers

TitleStatusHype
Biber Redux: Reconsidering Dimensions of Variation in American English0
An Exploration of Post-Editing Effectiveness in Text Summarization0
A Framework for the Classification and Annotation of Multiword Expressions in Dialectal Arabic0
Filtering of Noisy Web-Crawled Parallel Corpus: the Japanese-Bulgarian Language Pair0
Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation0
Finding Alternative Translations in a Large Corpus of Movie Subtitle0
A Corpus of Machine Translation Errors Extracted from Translation Students Exercises0
A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning0
Does BLEU Score Work for Code Migration?0
Does `well-being' translate on Twitter?0
Finding More Bilingual Webpages with High Credibility via Link Analysis0
Finding Optimal 1-Endpoint-Crossing Trees0
Finding Replicable Human Evaluations via Stable Ranking Probability0
Findings of the 2012 Workshop on Statistical Machine Translation0
Findings of the 2013 Workshop on Statistical Machine Translation0
Findings of the 2014 Workshop on Statistical Machine Translation0
Findings of the 2015 Workshop on Statistical Machine Translation0
Findings of the 2016 Conference on Machine Translation0
Does a Computational Linguist have to be a Linguist?0
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction0
Do dependency parsing metrics correlate with human judgments?0
Findings of the 2019 Conference on Machine Translation (WMT19)0
Findings of the 2020 Conference on Machine Translation (WMT20)0
Findings of the 2021 Conference on Machine Translation (WMT21)0
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas0
Findings of the Covid-19 MLIA Machine Translation Task0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information0
An Exploration of Placeholding in Neural Machine Translation0
Findings of the Fourth Workshop on Neural Generation and Translation0
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages0
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages0
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description0
Findings of the Second Workshop on Automatic Simultaneous Translation0
Findings of the Second Workshop on Neural Machine Translation and Generation0
Document-Wide Decoding for Phrase-Based Statistical Machine Translation0
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain0
Bianet: A Parallel News Corpus in Turkish, Kurdish and English0
Findings of the WMT 2016 Bilingual Document Alignment Shared Task0
Document Network Embedding: Coping for Missing Content and Missing Links0
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing0
Findings of the WMT 2018 Shared Task on Quality Estimation0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages0
Findings of the WMT 2019 Shared Task on Automatic Post-Editing0
Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions0
Findings of the WMT 2019 Shared Tasks on Quality Estimation0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing0
A Framework for Learning Morphology using Suffix Association Matrix0
Document Level NMT of Low-Resource Languages with Backtranslation0
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation0
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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