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 7251–7300 of 10752 papers

TitleStatusHype
Integrating Dictionary and Web N-grams for Chinese Spell Checking—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Integrating Domain Terminology into Neural Machine Translation—0
Integrating empty category detection into preordering Machine Translation—0
Integrating Encyclopedic Knowledge into Neural Language Models—0
Integrating lexical, syntactic and system-based features to improve Word Confidence Estimation in SMT—0
Integrating Meaning into Quality Evaluation of Machine Translation—0
Integrating morpho-syntactic features in English-Arabic statistical machine translation—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring—0
Integrating NLP Tools in a Distributed Environment: A Case Study Chaining a Tagger with a Dependency Parser—0
Integrating Optical Character Recognition and Machine Translation of Historical Documents—0
Integrating Phrase-based Reordering Features into a Chart-based Decoder for Machine Translation—0
Integrating Pre-trained Language Model into Neural Machine Translation—0
Integrating Translation Memory into Phrase-Based Machine Translation during Decoding—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Integrating Vectorized Lexical Constraints for Neural Machine Translation—0
Integration of Dubbing Constraints into Machine Translation—0
Integration of Machine Translation and Translation Memory: Post-Editing Efforts—0
Integration of machine translation paradigms—0
IntelliCAT: Intelligent Machine Translation Post-Editing with Quality Estimation and Translation Suggestion—0
Intelligent Hybrid Man-Machine Translation Quality Estimation—0
Interactive Attention for Neural Machine Translation—0
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction—0
Interactive Machine Translation using Hierarchical Translation Models—0
Interactive Models for Post-Editing—0
Interactive Post-Editing for Verbosity Controlled Translation—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation—0
Interactive-predictive neural multimodal systems—0
Interactive-Predictive Translation Based on Multiple Word-Segments—0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
InterlinguaPlus Machine Translation Approach for Local Languages: Ekegusii \& Swahili—0
Interlocking Phrases in Phrase-based Statistical Machine Translation—0
Intermediate Self-supervised Learning for Machine Translation Quality Estimation—0
Interoperability and machine-to-machine translation model with mappings to machine learning tasks—0
Interplay of Machine Translation, Diacritics, and Diacritization—0
Interpretable Emoji Prediction via Label-Wise Attention LSTMs—0
Interpreting Strategies Annotation in the WAW Corpus—0
Interpreting Verbal Metaphors by Paraphrasing—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
IntGrad MT: Eliciting LLMs' Machine Translation Capabilities with Sentence Interpolation and Gradual MT—0
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation—0
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network—0
Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition—0
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Introducing Kashmiri Dependency Treebank—0
Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions—0
Introducing Mouse Actions into Interactive-Predictive 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