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 7501–7550 of 10752 papers

TitleStatusHype
The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task—0
The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions—0
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting—0
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation—0
The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015—0
The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016—0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—0
The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation—0
The Effect of Alignment Objectives on Code-Switching Translation—0
The Effect of Dependency Representation Scheme on Syntactic Language Modelling—0
The Effect of Domain and Diacritics in Yoruba–English Neural Machine Translation—0
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction—0
The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings—0
The Effect of Translationese on Tuning for Statistical Machine Translation—0
The En-Ru Two-way Integrated Machine Translation System Based on Transformer—0
The EuroPat Corpus: A Parallel Corpus of European Patent Data—0
The Excitement Open Platform for Textual Inferences—0
The FAUST Corpus of Adequacy Assessments for Real-World Machine Translation Output—0
The FBK Participation in the WMT15 Automatic Post-editing Shared Task—0
The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task—0
The Feasibility of HMEANT as a Human MT Evaluation Metric—0
The First Parallel Corpora for Kurdish Sign Language—0
The FISKM\"O Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research—0
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
The FLaReNet Strategic Language Resource Agenda—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition—0
Neural Machine Translation with Recurrent Highway Networks—0
Development of Deep Learning Based Natural Language Processing Model for Turkish—0
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation—0
Examining Structure of Word Embeddings with PCA—0
Domain Adaptive Inference for Neural Machine Translation—0
Fluent Translations from Disfluent Speech in End-to-End Speech Translation—0
Masked Non-Autoregressive Image Captioning—0
Improving Minimal Gated Unit for Sequential Data—0
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots—0
Theme-aware generation model for chinese lyrics—0
Improving Neural Machine Translation with Pre-trained Representation—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Inducing Constituency Trees through Neural Machine Translation—0
Transformer-based Cascaded Multimodal Speech Translation—0
Findings of the Third Workshop on Neural Generation and Translation—0
An Empirical Study of Generation Order for Machine Translation—0
Subword Sampling for Low Resource Word Alignment—0
SynesLM: A Unified Approach for Audio-visual Speech Recognition and Translation via Language Model and Synthetic Data—0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
BOTS-LM: Training Large Language Models for Setswana—0
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages—0
Enhancing AI-based Generation of Software Exploits with Contextual Information—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