Phrase Structure Identification and Classification of Sentences using Deep Learning

Hashi Haris,Misha Ravi

doi:10.31142/ijtsrd23841

Abstract

Phrase Structure Identification and Classification of Sentences using Deep Learning

Highlights

We are living in an era in which technology is flourishing at a faster pace
The world is becoming automated by the rise of Artificial Intelligence
This new era of AI has given birth to very brilliant automated devices and robots which are equivalent to human beings and possesses almost all capabilities of a human. This ability is due to the advent of deep learning technology

Summary

INTRODUCTION

We are living in an era in which technology is flourishing at a faster pace. The world is becoming automated by the rise of Artificial Intelligence. These have become a part of Artificial Intelligence mainly due to the advent of “Back propagation” This technique allows network to adjust the nodes in the hidden layers when the predicted outcome shows deviations from the expected outcome. The identification of the phrase structure can be done by breaking the specified natural language sentence into its constituents that may be lexical and phrasal categories These phrases are tagged using IOB sequence labelling. Such a work done by Kim [2] on sentence classification tasks like question type classification, sentiment, subjectivity classification This vanilla network had difficulty in modeling long distance dependencies. B. PROPOSED SYSTEM The proposed system titled “Phrase Structure Identification and Classification of sentences using Deep Learning” for Indian languages identifies the phrases within a Malayalam sentence and classifies them into Noun and Verb Phrase. Instead of taking into consideration the entire document or sentence, phrase level identification helps in easy error tracking and rectification of grammar

Sentence ordering and coherence modeling using RNN

Phrase Structure Identification and Classification Training and Testing