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 49014925 of 10752 papers

TitleStatusHype
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation0
Monash University's Submissions to the WNGT 2019 Document Translation Task0
Y'all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation0
Context-aware Neural Machine Translation with Coreference Information0
Context-Aware Neural Machine Translation Decoding0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation0
Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019)0
NLPRL at WAT2019: Transformer-based Tamil -- English Indic Task Neural Machine Translation System0
UCSYNLP-Lab Machine Translation Systems for WAT 20190
Phonetic Normalization for Machine Translation of User Generated Content0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation0
Compact and Robust Models for Japanese-English Character-level Machine Translation0
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness0
Document-level Neural Machine Translation with Associated Memory Network0
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 20190
Scrambled Translation Problem: A Problem of Denoising UNMT0
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
An Empirical Study of Generation Order for Machine Translation0
Findings of the Third Workshop on Neural Generation and Translation0
BPE-Dropout: Simple and Effective Subword RegularizationCode1
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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
5AdminBLEU score43.8Unverified
6Transformer (ADMIN init)BLEU 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