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 4551–4600 of 10752 papers

TitleStatusHype
Advancements in Reordering Models for Statistical Machine Translation—0
Déjà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation—0
Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task—0
Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping (short paper)—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Automatic Threshold Detection for Data Selection in Machine Translation—0
An Empirical Investigation into Learning Bug-Fixing Patches in the Wild via Neural Machine Translation—0
Defending against Backdoor Attacks in Natural Language Generation—0
Automatic Thesaurus Construction for Modern Hebrew—0
Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies—0
An Empirical Exploration of Curriculum Learning for Neural Machine Translation—0
A Comprehensive Review on Recent Methods and Challenges of Video Description—0
Deep-Syntactic Parsing—0
DeepSPIN: Deep Structured Prediction for Natural Language Processing—0
An Empirical Evaluation of Stop Word Removal in Statistical Machine Translation—0
DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?—0
DeepSeek: Content Based Image Search & Retrieval—0
Automatic Standardization of Arabic Dialects for Machine Translation—0
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks—0
Deep RNNs Encode Soft Hierarchical Syntax—0
Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning—0
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation—0
Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features—0
Automatic Searching for English-Vietnamese Documents on the Internet—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets—0
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks—0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation—0
A Dual-Decoder Conformer for Multilingual Speech Recognition—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling—0
Improving Neural Machine Translation with Pre-trained Representation—0
DeepNorm-A Deep Learning Approach to Text Normalization—0
Deep Neural Solver for Math Word Problems—0
Automatic Ranking of MT Outputs using Approximations—0
Deep neural network techniques for monaural speech enhancement: state of the art analysis—0
Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction—0
Automatic Propbank Generation for Turkish—0
An Empirical Comparison of Features and Tuning for Phrase-based Machine Translation—0
Deep Neural Network Language Models—0
Automatic Prediction of the Performance of Every Parser—0
Deep Neural Machine Translation with Linear Associative Unit—0
Deep Neural Language Models for Machine Translation—0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation—0
Adpositional Supersenses for Mandarin Chinese—0
Deep Network Guided Proof Search—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
Deep Models for Arabic Dialect Identification on Benchmarked Data—0
Automatic Post-Editing for the DiscoMT Pronoun Translation Task—0
An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering—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