Language identification in multilingual, short and noisy texts using common N-grams

Dijana Kosmajac, Vlado Keselj

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
EditorsJian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2752-2759
Number of pages8
ISBN (Electronic)9781538627143
DOIs
Publication statusPublished - Jul 1 2017
Event5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
Duration: Dec 11 2017Dec 14 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
Volume2018-January

Conference

Conference5th IEEE International Conference on Big Data, Big Data 2017
Country/TerritoryUnited States
CityBoston
Period12/11/1712/14/17

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Language identification in multilingual, short and noisy texts using common N-grams'. Together they form a unique fingerprint.

Cite this