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 201–250 of 10752 papers

TitleStatusHype
A comparison of data filtering techniques for English-Polish LLM-based machine translation in the biomedical domain—0
AdaCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Chain-of-Thought—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence MetricsCode0
Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets—0
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach—0
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction—0
LoCoML: A Framework for Real-World ML Inference Pipelines—0
Idiom Detection in Sorani Kurdish Texts—0
Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing—0
Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource Languages—0
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation—0
Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish—0
HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in HanjaCode0
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding SpacesCode0
Solving the Unsolvable: Translating Case Law in Hong Kong—0
AI in Support of Diversity and Inclusion—0
Doc-Guided Sent2Sent++: A Sent2Sent++ Agent with Doc-Guided memory for Document-level Machine Translation—0
ViBidirectionMT-Eval: Machine Translation for Vietnamese-Chinese and Vietnamese-Lao language pair—0
Quantifying the Importance of Data Alignment in Downstream Model Performance—0
Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse LanguagesCode1
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations—0
Merging Feed-Forward Sublayers for Compressed TransformersCode1
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
The Impact of Model Scaling on Seen and Unseen Language Performance—0
Addressing speaker gender bias in large scale speech translation systems—0
Investigating Numerical Translation with Large Language Models—0
When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages—0
Semantically Cohesive Word Grouping in Indian Languages—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine TranslationCode1
Quality Estimation based Feedback Training for Improving Pronoun Translation—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Crossing Language Borders: A Pipeline for Indonesian Manhwa TranslationCode0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models—0
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs—0
Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches—0
M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation EvaluationCode1
Cross-Linguistic Examination of Machine Translation Transfer Learning—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
Multiple References with Meaningful Variations Improve Literary Machine Translation—0
CoAM: Corpus of All-Type Multiword Expressions—0
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models—0
Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)Code0
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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