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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4851–4900 of 10752 papers

TitleStatusHype
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval—0
Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine TranslationCode0
Synchronously Generating Two Languages with Interactive Decoding—0
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali--English and Sinhala--EnglishCode1
Vecalign: Improved Sentence Alignment in Linear Time and Space—0
Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel—0
Recurrent Positional Embedding for Neural Machine Translation—0
Deep Copycat Networks for Text-to-Text GenerationCode0
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization—0
Machine Translation With Weakly Paired Documents—0
Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation—0
Improving Pre-Trained Multilingual Model with Vocabulary Expansion—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Sequence Modeling with Unconstrained Generation OrderCode0
A Modular Architecture for Unsupervised Sarcasm Generation—0
Unsupervised Neural Machine Translation with Future Rewarding—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation—0
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers—0
Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data—0
Combining Translation Memory with Neural Machine Translation—0
From Research to Production and Back: Ludicrously Fast Neural Machine Translation—0
NLPRL at WAT2019: Transformer-based Tamil -- English Indic Task Neural Machine Translation System—0
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-2019—0
Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval—0
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Understanding the Effect of Textual Adversaries in Multimodal Machine Translation—0
Neural Machine Translation System using a Content-equivalently Translated Parallel Corpus for the Newswire Translation Tasks at WAT 2019—0
Recycling a Pre-trained BERT Encoder for Neural Machine Translation—0
NTT Neural Machine Translation Systems at WAT 2019—0
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
English-Myanmar Supervised and Unsupervised NMT: NICT's Machine Translation Systems at WAT-2019—0
Empirical Evaluation of Active Learning Techniques for Neural MT—0
UCSMNLP: Statistical Machine Translation for WAT 2019—0
Sentiment Aware Neural Machine Translation—0
Our Neural Machine Translation Systems for WAT 2019—0
Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts—0
Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019)—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
Monash University's Submissions to the WNGT 2019 Document Translation Task—0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations—0
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation—0
Data augmentation using back-translation for context-aware neural machine translation—0
Multilingual Whispers: Generating Paraphrases with Translation—0
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English—0
CVIT's submissions to WAT-2019—0
Supervised neural machine translation based on data augmentation and improved training \& inference process—0
Show:102550
← PrevPage 98 of 216Next →
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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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