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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 1051–1100 of 10752 papers

TitleStatusHype
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model—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
The Impact of Model Scaling on Seen and Unseen Language Performance—0
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations—0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Addressing speaker gender bias in large scale speech translation systems—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—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
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
Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches—0
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs—0
Cross-Linguistic Examination of Machine Translation Transfer Learning—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
CoAM: Corpus of All-Type Multiword Expressions—0
Multiple References with Meaningful Variations Improve Literary Machine Translation—0
Towards Global AI Inclusivity: A Large-Scale Multilingual Terminology Dataset (GIST)Code0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models—0
Ensuring Consistency for In-Image Translation—0
ERUPD -- English to Roman Urdu Parallel Dataset—0
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Investigating Length Issues in Document-level Machine Translation—0
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic CollaborationCode0
Reconsidering SMT Over NMT for Closely Related Languages: A Case Study of Persian-Hindi Pair—0
Survey on Abstractive Text Summarization: Dataset, Models, and MetricsCode0
A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities—0
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics—0
Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model—0
Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models—0
Mention Attention for Pronoun Translation—0
Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition—0
Self-Evolution Knowledge Distillation for LLM-based Machine Translation—0
Language verY Rare for All—0
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray—0
Towards Automatic Evaluation for Image TranscreationCode0
The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation—0
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal 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