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 7701–7750 of 10752 papers

TitleStatusHype
Adaptation of Reordering Models for Statistical Machine Translation—0
Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context—0
Adaptation Speed Analysis for Fairness-aware Causal Models—0
Adapting a part-of-speech tagset to non-standard text: The case of STTS—0
Adapting a State-of-the-Art Tagger for South Slavic Languages to Non-Standard Text—0
Adapting Entities across Languages and Cultures—0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models—0
Adapting Large Language Models for Document-Level Machine Translation—0
Adapting Large Multilingual Machine Translation Models to Unseen Low Resource Languages via Vocabulary Substitution and Neuron Selection—0
Adapting Multilingual Models for Code-Mixed Translation using Back-to-Back Translation—0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018—0
Adapting Multilingual Parsing Models to Sinica Treebank—0
Adapting Neural Machine Translation for Automatic Post-Editing—0
Adapting Neural Machine Translation with Parallel Synthetic Data—0
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study—0
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
Adapting Translation Models to Translationese Improves SMT—0
Adapting VerbNet to French using existing resources—0
Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Adaptive HTER Estimation for Document-Specific MT Post-Editing—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Adaptive Label Smoothing with Self-Knowledge—0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Adaptive Parser-Centric Text Normalization—0
Adaptive Policy with Wait-k Model for Simultaneous Translation—0
Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers—0
Adaptive Quality Estimation for Machine Translation—0
Adaptive Scheduling for Multi-Task Learning—0
Adaptive Sparse Transformer for Multilingual Translation—0
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation—0
Adaptor Grammars for Learning Non-Concatenative Morphology—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations—0
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions—0
A Dataset for Joint Noun-Noun Compound Bracketing and Interpretation—0
A Dataset for Term Extraction in Hindi—0
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation—0
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation—0
Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation—0
Adding Linguistic Knowledge to NLP Tasks for Bulgarian: The Verb Paradigm Patterns—0
Adding Multimodal Capabilities to a Text-only Translation Model—0
Adding syntactic structure to bilingual terminology for improved domain adaptation—0
Additive Interventions Yield Robust Multi-Domain Machine Translation Models—0
Additive Neural Networks for Statistical Machine Translation—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Addressing Community Question Answering in English and Arabic—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—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