Abstract Sentence  boundary  identification  is  an  important  st ep  for  text  processing  tasks,  e.g.,  machine  translation,  POS  tagging, text summarization etc., in this paper, we  present an approach comprising of Feed Forward Neu ral Network (FFNN)  along with part of speech information of the words  in a corpus. Proposed adaptive system has been test ed after training it with  varying  sizes  of  data  and  threshold  values.  The  bes t  results,  our  system  produced  are  93.05%  precision ,  99.53%  recall  and  96.18% f-measure.  

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[14] Sivanandam S., Introduction to Neural Networks using Matlab 6.0 , McGraw6Hill, 2006. Shazia Raj received her BS degree in computer science from COMSATS Institute of Information Technology, Pakistan, in 2012. Currently, she is an MS scholar at the same institute. Her area of research is natural language processing. Zobia Rehman received her MS degree in computer science from COMSATS Institute of Information technology, Pakistan in 2009. Currently, she is a PhD scholar at Lucian Blaga University of Sibiu, Romania. Her Area of research is natural language processing. Sonia Rauf received her MS degree in computer science from COMSATS Institute of Information Technology, Pakistan in 2010. Currently, she is a lecturer at the same institute. Her Areas of research are artificial intelligence, machine learning and medical image processing. Rehana Siddique received her BS degree in computer science from COMSATS Institute of Information Technology, Pakistan, in 2012. Her area of research is natural language processing. Waqas Anwar received his PhD degree in computer science from Harbin Institute of Technology Harbin, China in 2008. Currently, he is an Associate Professor in the department of Computer Science at COMSATS Institute of Information Technology, Pakistan. His areas of research are nat ural language processing and computational intelligence.