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 3301–3350 of 10752 papers

TitleStatusHype
Empty Category Detection using Path Features and Distributed Case Frames—0
Empty Category Detection With Joint Context-Label Embeddings—0
EM-Training for Weighted Aligned Hypergraph Bimorphisms—0
Enabling Code-Mixed Translation: Parallel Corpus Creation and MT Augmentation Approach—0
Enabling Deep Learning of Emotion With First-Person Seed Expressions—0
Enabling Language Resources to Expose Translations as Linked Data on the Web—0
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent—0
Enabling Medical Translation for Low-Resource Languages—0
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages—0
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders—0
EnAsCorp1.0: English-Assamese Corpus—0
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Encoding Gated Translation Memory into Neural Machine Translation—0
Breaking Down Multilingual Machine Translation—0
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
Encoding Source Language with Convolutional Neural Network for Machine Translation—0
Breaking Down Multilingual Machine Translation—0
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair—0
Encouraging Consistent Translation Choices—0
Attention-based Vocabulary Selection for NMT Decoding—0
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation—0
Encouraging Neural Machine Translation to Satisfy Terminology Constraints—0
Encouraging Neural Machine Translation to Satisfy Terminology Constraints.—0
End-to-End Code Switching Language Models for Automatic Speech Recognition—0
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
End-to-End Neural Word Alignment Outperforms GIZA++—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Counting What Counts: Decompounding for Keyphrase Extraction—0
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights—0
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning—0
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting—0
A Comparative Study of Target Dependency Structures for Statistical Machine Translation—0
End-to-end Speech-to-Punctuated-Text Recognition—0
End-to-End Speech-to-Text Translation: A Survey—0
End-to-End Speech Translation of Arabic to English Broadcast News—0
Counting in Language with RNNs—0
End-to-end Speech Translation with Spoken-to-Written Style Conversion—0
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation—0
Attention-based Recurrent Convolutional Neural Network for Automatic Essay Scoring—0
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report—0
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach—0
English-Chinese Knowledge Base Translation with Neural Network—0
English-Ethiopian Languages Statistical Machine Translation—0
Ensemble Triangulation for Statistical Machine Translation—0
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation—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