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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2651–2700 of 10752 papers

TitleStatusHype
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese—0
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Critical Appraisal of Artificial Intelligence-Mediated Communication—0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation—0
Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis—0
Deep Fusion LSTMs for Text Semantic Matching—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Deep Latent-Variable Models for Text Generation—0
Deep Learning and Continuous Representations for Natural Language Processing—0
Automatic MT Error Analysis: Hjerson Helping Addicter—0
Deep Learning Approaches to Text Production—0
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing—0
Automatic Parallel Corpus Creation for Hindi-English News Translation Task—0
Deep Learning in Event Detection in Polish—0
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants—0
Deep Learning Models For Multiword Expression Identification—0
Developing neural machine translation models for Hungarian-English—0
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis—0
Deep Learning Scaling is Predictable, Empirically—0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Automatic Post-Editing for the DiscoMT Pronoun Translation Task—0
Deep Models for Arabic Dialect Identification on Benchmarked Data—0
Developing the Bangla RST Discourse Treebank—0
Deep Network Guided Proof Search—0
Deep Neural Language Models for Machine Translation—0
Deep Neural Machine Translation with Linear Associative Unit—0
Automatic Prediction of the Performance of Every Parser—0
Deep Neural Network Language Models—0
Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction—0
Deep neural network techniques for monaural speech enhancement: state of the art analysis—0
Deep Neural Solver for Math Word Problems—0
DeepNorm-A Deep Learning Approach to Text Normalization—0
CRFs-Based Chinese Word Segmentation for Micro-Blog with Small-Scale Data—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
Automatic Searching for English-Vietnamese Documents on the Internet—0
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks—0
Attention over Heads: A Multi-Hop Attention for Neural Machine Translation—0
Creativity in translation: machine translation as a constraint for literary texts—0
Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet—0
Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features—0
Deep RNNs Encode Soft Hierarchical Syntax—0
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks—0
DeepSeek: Content Based Image Search & Retrieval—0
DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?—0
DeepSPIN: Deep Structured Prediction for Natural Language Processing—0
Developing language technology tools and resources for a resource-poor language: Sindhi—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