Design and Implementation of Neural Processor for Parsing Manufacturing Query Language
Journal Title: International Journal on Computer Science and Engineering - Year 2015, Vol 7, Issue 12
Abstract
Practically, all the approaches employed for parsing with natural languages use some or other type of neural network architecture and some typical statistical function for obtaining a parsing decision. In parsing with neural networks an incremental tree is usually obtained by using a set of rules for connecting a possible parse tree to the previously obtained incremental tree. In the current work, linguistic data is mapped to corresponding part-ofspeech tags, which are then converted into a set of binary input vectors for each sentence. The tags have relationships with their neighbours which are modeled by the neural processor. When input is given to the neural processor, these relationships are analyzed and the string with the correct placement of parts-of-speech tag is output as syntactically correct else is declared as syntactically incorrect. A single layer network with back propagation is employed which utilizes a method based on minimization of error between the desired and actual activation of output nodes. A model is developed for dynamically accepting a query in natural language in the presentation tier of multi layered architecture which is processed and sent to the middle tier interfaced with R Software and MatLab for training the neural network and testing the query input by the user. The requisite Excel file in CSV format are generated and processed in the data layer. The entire approach is rendered generic and can be applied to similar cases containing the training data in the requisite format in Excel file. The confusion matrices generated by both the softwares are compared for judging the accuracy of classification.
Authors and Affiliations
Mr. Girish R. Naik , Dr. V. A. Raikar , Dr. Poornima G. Naik
Keywords
Related Articles
- EP ID EP90437
- DOI -
- Views 134
- Downloads 0
Analysis of AODV Routing Protocol for Minimized Routing Delay in Ad Hoc Networks
Ad hoc wireless networks consists of mobile terminals communicating directly with other mobile terminals without any pre existing infrastructure. In Ad hoc network each mobile terminal acts as a router to enable multi ho...
Resilience Against Node Capture Attack using Asymmetric Matrices in Key Predistribution Scheme in Wireless Sensor Networks
Wireless Sensor Networks (WSN) usually consists of a large number of tiny sensors with limited computation capability, memory space and power resource. WSN’s are extremely vulnerable against any kind of internal or exter...
SEGMENTATION OF LUNG CANCER PET SCAN IMAGES USING FUZZY CMEANS
Image segmentation plays a vital role in medical image processing. Eventually, the proposed work is subjected to classify the tumour and non-tumour parts, followed by the segmentation of tumour region in PET scan images....
Data Security : An Analysis
There is intense of cyber attach through electronic media, so it calls for data security practice. Internet technology becomes very pervasive to exchange data through online. Various Government and private sectors mostly...
Design of MIMO Space-Time Code for High Data Rate Wireless Communication
Multiple-input and multiple-output, or MIMO, is the use of multiple antennas at both the transmitter and receiver to improve communication performance. MIMO technology has attracted attention in wireless communications,...