welcome to ICON 2013

The 10th International Conference on Natural Language Processing(ICON-2013)
will be held at Centre for Development of Advanced Computing, Noida, India
during 18-20 December, 2013. The ICON conference series is a forum for
promoting interaction among researchers in the field of Natural Language
Processing in India and abroad. The main conference is on December 19-20
December 2013. This will be preceded by one day of pre-conference tutorials
and workshops on December 18, 2013.

paper Topics

Morphology	            Parsing
Phonology	            Word Sense Disambiguation
Syntax	            	    Machine Translation
Semantics 	            Information Retrieval
Discourse 	            Text Summarization
Pragmatics	            Question Answering
Statistical methods         Dialog Systems
Knowledge-based methods     Performance Evaluation
Annotated Corpora 	    Speech Corpora
Lexical Resources 	    Speech Recognition
Ontology 	            Speech Synthesis
POS tagging

tracks at ICON 2013

Authors have to submit the papers under any one of the following categories:

call for Tutorials/Workshops

Proposals are invited for tutorials/workshops. Tutorials/Workshops can be of half-day or full-day duration. The proposals should be presented in the form of a 200-word abstract, one page topical outline of the content, description of the proposers and their qualifications relating to the tutorial content.

Authors have to submit the papers under any one of the following categories:

Send tutorial/Workshop proposals to the ICON-2013 Secretariat. For further
information, please refer to the Conference URL or contact the ICON-2013
Secretariat.

contests at ICON 2013

The ICON 2013 tools contest is on Named Entity Recognition in Indian languages (IL). The NER involves the identification of proper names from the texts and classification of them into some
predefined categories of interest such as Person, Location, Organization, Miscellaneous (date, time, percentages, monetary expressions etc.). This is an important component for many NLP applications such as Machine Translation, Question-Answering, Automatic Summarization, Information Extraction etc.

important Dates