NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization Wookhee Min Bradford W. Mott

Source URL: noisy-text.github.io

USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics Ervin Tasn´adi G´abor Berend University of Szeged University of Szeged

Source URL: noisy-text.github.io

IHS_RD: Lexical Normalization for English Tweets Dmitry Supranovich IHS Inc. / IHS Global Belarus 131 Starovilenskaya St, Minsk, Belarus

Source URL: noisy-text.github.io

NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text Samuel P. Leeman-Munk James C. Lester Center for Educational Informatics North Carolina State University

Source URL: noisy-text.github.io

• Artificial neural networks
• Cybernetics
• Applied mathematics
• Artificial intelligence
• Deep learning
• Convolutional neural network
• Feature learning
• Backpropagation
• Autoencoder
• Artificial neuron
• Feedforward neural network

Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition Timothy Baldwin University of Melbourne Marie Catherine de Marneffe

Source URL: noisy-text.github.io

• Computational linguistics
• Natural language processing
• Linguistics
• Software
• Language
• Named-entity recognition
• Entity linking
• Word-sense disambiguation
• Normalization
• Language identification
• Machine translation
• Conditional random field

IITP: Hybrid Approach for Text Normalization in Twitter Md Shad Akhtar, Utpal Kumar Sikdar and Asif Ekbal Dept of Computer Science and Engineering IIT Patna Patna, India (shad.pcs15,utpal.sikdar,asif)@iitp.ac.in

Source URL: noisy-text.github.io

• Computational linguistics
• Software
• Computing
• Artificial intelligence
• Named-entity recognition
• Normalization
• Stemming
• Conditional random field
• Twitter
• Database normalization
• Machine translation

Toward Tweets Normalization Using Maximum Entropy Mohammad Arshi Saloot Department of Artificial Intelligence, University of Malaya, 50603, Malaysia

Source URL: noisy-text.github.io

• Computational linguistics
• Linguistics
• Artificial intelligence
• Language
• Artificial intelligence applications
• Machine translation
• Cognitive science
• Natural language processing
• Statistical machine translation
• Speech recognition
• BLEU
• Normalization

Building a Search Engine Model with Morphological Normalization Support 1 ˇ Jure Miji´c1 , Bojana Dalbelo Baˇsi´c1 , Jan Snajder 1

Source URL: hnk.ffzg.hr

• Natural language processing
• Information retrieval
• Full text search
• Query expansion
• Ranking
• Vector space model
• Search engine indexing
• Document retrieval
• Stop words
• Index term
• Extended Boolean model
• Book:Information retrieval

NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization Ning Jin Text Analytics R&D SAS Institute, Inc.

Source URL: noisy-text.github.io

• Computational linguistics
• Natural language processing
• Corpus linguistics
• Dynamic programming
• Quantitative linguistics
• Statistical classification
• String metric
• N-gram
• Bigram
• Named-entity recognition
• Canonical form
• Lexical analysis

LYSGROUP: Adapting a Spanish microtext normalization system to English. ´ Vilares, Carlos G´omez-Rodr´ıguez Yerai Doval, Jesus LYS group, Departamento de Computaci´on, Facultade de Inform´atica, Universidade da Cor

Source URL: noisy-text.github.io

• Computational linguistics
• Natural language processing
• Normalization
• Database normalization
• Text normalization
• Speech recognition
• Twitter
• Normal form