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 4501–4550 of 10752 papers

TitleStatusHype
Dependency Graph-to-String Translation—0
Dependency Graph-to-String Statistical Machine Translation—0
Dependency Forest based Word Alignment—0
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution—0
Dependency-Based Self-Attention for Transformer NMT—0
Dependency-based Reordering Model for Constituent Pairs in Hierarchical SMT—0
A Visual Analytics System for Cluster Exploration—0
Dependency-Based Relative Positional Encoding for Transformer NMT—0
Dependency-based Pre-ordering for Chinese-English Machine Translation—0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
Dependency-based empty category detection via phrase structure trees—0
Dependency-Based Decipherment for Resource-Limited Machine Translation—0
Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation—0
Dependency-based Automatic Enumeration of Semantically Equivalent Word Orders for Evaluating Japanese Translations—0
A Variational Hierarchical Model for Neural Cross-Lingual Summarization—0
An Empirical Study of Automatic Post-Editing—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Dependency and Constituency in Translation Shift Analysis—0
Dependency Analysis of Scrambled References for Better Evaluation of Japanese Translation—0
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models—0
Auto-Sizing Neural Networks: With Applications to n-gram Language Models—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
Dense Components in the Structure of WordNet—0
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection—0
AutoParSe: An Automatic Paradigm Selector For Nouns in Konkani—0
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Robust Optimization for Multilingual Translation with Imbalanced Data—0
Demystifying Learning of Unsupervised Neural Machine Translation—0
Automode: Choosing the Best Machine Translation Supplier Based on Source Text—0
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation—0
Demo of Sanskrit-Hindi SMT System—0
Demonstrating the MUSTE Language Learning Environment—0
Automatic word alignment tools to scale production of manually aligned parallel texts—0
An Empirical Investigation of Statistical Significance in NLP—0
Advances and Challenges in Unsupervised Neural Machine Translation—0
A Comprehensive Survey of Grammar Error Correction—0
Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences—0
Automatic Tripartite Classification of Intransitive Verbs—0
Automatic Translation of Scientific Documents in the HAL Archive—0
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search—0
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding—0
Deliberation Networks and How to Train Them—0
Automatic Translation of Scholarly Terms into Patent Terms Using Synonym Extraction Techniques—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
DELA Project: Document-level Machine Translation Evaluation—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—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