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 5501–5550 of 10752 papers

TitleStatusHype
Multi-task Learning for Multilingual Neural Machine Translation—0
Multi-Task Learning for Multiple Language Translation—0
Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian Hieroglyphs—0
Multitask Models for Controlling the Complexity of Neural Machine Translation—0
Multi-Task Neural Model for Agglutinative Language Translation—0
Multi-task Sequence to Sequence Learning—0
Multi-Task Word Alignment Triangulation for Low-Resource Languages—0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders—0
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents—0
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)—0
MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch—0
MultiUN v2: UN Documents with Multilingual Alignments—0
Multi-VALUE: A Framework for Cross-Dialectal English NLP—0
Multi-view Chinese Treebanking—0
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism—0
Multi-way VNMT for UGC: Improving Robustness and Capacity via Mixture Density Networks—0
Multiword Expression aware Neural Machine Translation—0
Multiword Expressions in Machine Translation—0
Multiword Expressions in the Context of Statistical Machine Translation—0
Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions—0
Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT—0
Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13—0
Music Playlist Title Generation: A Machine-Translation Approach—0
MuST-C: a Multilingual Speech Translation Corpus—0
MuST-Cinema: a Speech-to-Subtitles corpus—0
MUTT: Metric Unit TesTing for Language Generation Tasks—0
MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation—0
Mutual exclusivity as a challenge for deep neural networks—0
Mutual-Learning Improves End-to-End Speech Translation—0
Mutually-Constrained Monotonic Multihead Attention for Online ASR—0
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation—0
NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task—0
NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task—0
NAIST at 2013 CoNLL Grammatical Error Correction Shared Task—0
NAIST English-to-Japanese Simultaneous Translation System for IWSLT 2021 Simultaneous Text-to-text Task—0
NAIST's Machine Translation Systems for IWSLT 2020 Conversational Speech Translation Task—0
Naive Regularizers for Low-Resource Neural Machine Translation—0
Name-aware Machine Translation—0
Named Entity-Factored Transformer for Proper Noun Translation—0
Named Entity Recognition of Persons' Names in Arabic Tweets—0
Named Entity Recognition System for Sindhi Language—0
Named Entity Recognition with Bilingual Constraints—0
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
Named Entity Tagging a Very Large Unbalanced Corpus: Training and Evaluating NE Classifiers—0
Name Translation based on Fine-grained Named Entity Recognition in a Single Language—0
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles—0
Natural Language Communication with Robots—0
Natural Language Descriptions of Visual Scenes Corpus Generation and Analysis—0
Natural Language Generation—0
Natural Language Generation from Pictographs—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