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 6401–6450 of 10752 papers

TitleStatusHype
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment—0
Feature Weight Optimization for Discourse-Level SMT—0
Federated Nearest Neighbor Machine Translation—0
Feriji: A French-Zarma Parallel Corpus, Glossary & Translator—0
Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages—0
Few-Shot Optimized Framework for Hallucination Detection in Resource-Limited NLP Systems—0
Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation—0
FFR v1.1: Fon-French Neural Machine Translation—0
Field Experiments of Real Time Foreign News Distribution Powered by MT—0
Fighting Authorship Linkability with Crowdsourcing—0
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection—0
Filling Gender \& Number Gaps in Neural Machine Translation with Black-box Context Injection—0
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation—0
Filter and Match Approach to Pair-wise Web URI Linking—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Filtering and Mining Parallel Data in a Joint Multilingual Space—0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Filtering of Noisy Parallel Corpora Based on Hypothesis Generation—0
Filtering of Noisy Web-Crawled Parallel Corpus: the Japanese-Bulgarian Language Pair—0
Filtering Pseudo-References by Paraphrasing for Automatic Evaluation of Machine Translation—0
Finding Alternative Translations in a Large Corpus of Movie Subtitle—0
Finding Challenging Metaphors that Confuse Pretrained Language Models—0
Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval—0
Finding More Bilingual Webpages with High Credibility via Link Analysis—0
Finding Optimal 1-Endpoint-Crossing Trees—0
Finding Replicable Human Evaluations via Stable Ranking Probability—0
Findings of the 2012 Workshop on Statistical Machine Translation—0
Findings of the 2013 Workshop on Statistical Machine Translation—0
Findings of the 2014 Workshop on Statistical Machine Translation—0
Findings of the 2015 Workshop on Statistical Machine Translation—0
Findings of the 2016 Conference on Machine Translation—0
Findings of the 2017 Conference on Machine Translation (WMT17)—0
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction—0
Findings of the 2018 Conference on Machine Translation (WMT18)—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 Americas—0
Findings of the Covid-19 MLIA Machine Translation Task—0
Findings of the First Shared Task on Lifelong Learning Machine Translation—0
Findings of the Fourth Workshop on Neural Generation and Translation—0
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages—0
Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages—0
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description—0
Findings of the Second Workshop on Automatic Simultaneous Translation—0
Findings of the Second Workshop on Neural Machine Translation and Generation—0
Findings of the Shared Task on Machine Translation in Dravidian languages—0
Findings of the WMT 2016 Bilingual Document Alignment Shared Task—0
Findings of the WMT 2017 Biomedical Translation Shared Task—0
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets—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