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 53515400 of 10752 papers

TitleStatusHype
XQA: A Cross-lingual Open-domain Question Answering DatasetCode1
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation0
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation0
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine TranslationCode0
On the Robustness of Self-Attentive Models0
Effective Adversarial Regularization for Neural Machine TranslationCode1
Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning'' for Neural Machine Translation0
On the Word Alignment from Neural Machine Translation0
Self-Supervised Neural Machine TranslationCode0
A Compact and Language-Sensitive Multilingual Translation Method0
Neural Machine Translation with Reordering Embeddings0
Generating Diverse Translations with Sentence Codes0
Latent Structure Models for Natural Language Processing0
Discourse Analysis and Its Applications0
Deep Bayesian Natural Language Processing0
Post-editese: an Exacerbated TranslationeseCode0
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations0
Modernizing Historical Documents: a User Study0
The University of Sydney's Machine Translation System for WMT190
Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource SettingsCode0
The CUED's Grammatical Error Correction Systems for BEA-20190
From Bilingual to Multilingual Neural Machine Translation by Incremental Training0
Widening the Representation Bottleneck in Neural Machine Translation with Lexical ShortcutsCode0
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation0
Findings of the First Shared Task on Machine Translation RobustnessCode0
The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation0
Sharing Attention Weights for Fast Transformer0
Creating A Neural Pedagogical Agent by Jointly Learning to Review and AssessCode0
Saliency-driven Word Alignment Interpretation for Neural Machine TranslationCode0
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World StudyCode0
Mutual exclusivity as a challenge for deep neural networks0
Translationese in Machine Translation Evaluation0
A Tensorized Transformer for Language ModelingCode1
Sequence Generation: From Both Sides to the Middle0
Cross-lingual Data Transformation and Combination for Text Classification0
Retrieving Sequential Information for Non-Autoregressive Neural Machine TranslationCode0
Demonstration of a Neural Machine Translation System with Online Learning for TranslatorsCode0
Incremental Adaptation of NMT for Professional Post-editors: A User Study0
Neural Machine Translating from Natural Language to SPARQLCode1
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair0
Improving Zero-shot Translation with Language-Independent Constraints0
Machine Learning Testing: Survey, Landscapes and Horizons0
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report0
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingCode0
Automatic Source Code Summarization with Extended Tree-LSTMCode0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation0
The Effect of Translationese in Machine Translation Test SetsCode0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods0
Distilling Translations with Visual AwarenessCode0
Benchmarking Neural Machine Translation for Southern African LanguagesCode0
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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
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU 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