Development of new technologies and various intelligent systems creates new possibilities for intelligent data processing. Natural Language Processing (NLP) addresses problems of automated understanding, processing and generation of natural human languages. LTA workshop provides a venue for presenting innovative research in NLP related, but not restricted, to: computational and mathematical modeling, analysis and processing of any forms (spoken, handwritten or text) of human language and various applications in decision support systems. The LTA workshop will provide an opportunity for researchers and professionals working in the domain of NLP to discuss present and future challenges as well as potential collaboration for future progress in the field of NLP.
The submitted papers shall cover research and developments in all NLP aspects, such as (however this list is not exhaustive):
– computational intelligence methods applied to language & text processing
– text analysis
– language networks
– text classification
– document clustering
– various forms of text recognition
– machine translation
– intelligent text-to-speech (TTS) and speech-to-text (STT) methods
– authorship identification and verification
– author profiling
– plagiarism detection
– knowledge extraction and retrieval from text and natural language structures
– multi-modal and natural language interfaces
– sentiment analysis
– language-oriented applications and tools
– NLP applications in education
– language networks, resources and corpora
Authors should submit draft papers (as Postscript, PDF or MSWord file).
The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here.
Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop.
Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants.
Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site.
Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters – Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar
Extended versions of selected papers presented during the conference will be invited to Information Technology and Control journal (IF: 0.623).
Organizers reserve right to move accepted papers between FedCSIS events.