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IJNLC 2020 : International Journal on Natural Language Computing


When N/A
Where N/A
Submission Deadline Feb 29, 2020
Notification Due Mar 28, 2020
Final Version Due Apr 7, 2020
Categories    natural language processing   information retrieval   ontology   text mining

Call For Papers

International Journal on Natural Language Computing (IJNLC)

Scope and Topics

Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.

Topics of interest include but are not limited to, the following

  • Phonology, Morphology
  • Chunking/Shallow Parsing
  • Parsing/Grammatical Formalisms
  • Semantic Processing
  • Lexical Semantics
  • Ontology
  • Linguistic Resources
  • Statistical and Knowledge based methods
  • POS tagging
  • Discourse
  • Paraphrasing/Entailment/Generation
  • Machine Translation
  • Information Retrieval
  • Text Mining
  • Information Extraction
  • Question Answering
  • Dialog Systems
  • Spoken Language Processing
  • Speech Recognition and Synthesis

Paper Submission

Authors are invited to submit papers for this journal through E-mail or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates


Submission Deadline:February 29, 2020
Authors Notification: March 28, 2020
Final Manuscript Due: April 07, 2020
Publication Date:Determined by the Editor-in-Chief

Current Issue

October 2019, Volume 08, Number 05

Bengali Information Retrieval System(BIRS) Full Text
Md. Kowsher1, Imran Hossen1 and SkShohorab Ahmed2, 1Noakhali Science and Technology University, Bangladesh and 2University of Rajshai, Bangladesh

Pronoun Disambiguation: with Application to the Winograd Schema ChallengeFull Text
Martin J Wheatman, Yagadi Ltd

Resume Information Extraction with A Novel Text Block Segmentation AlgorithmFull Text
Shicheng Zu and Xiulai Wang, Post-doctoral Scientific Research Station in East War District General Hospital, China

Optimize the Learning Rate of Neural Architecture in Myanmar StemmerFull Text
Yadanar Oo and Khin Mar Soe, University of Computer Studies, Myanmar

Auto Correction of Setswana Real-word ErrorsFull Text
Gabofetswe Malema, Boago Okgetheng, Moffat Motlhanka and Goaletsa Rammidi, University of Botswana, Botswana

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