SEMINAR PRESENTATION OF SPEECH APPLICATION LANGUAGE TAGS
CHAPTER ONE
1.1 Introduction
Tagging defines an association. POS tagging tags Part-Of-Speech labels for a token in any language structure. POS is immensely used in text mining and it is an unsupervised/supervised classification. If a tagger is supervised then it counts the number of labeled set of data whose efficiency relies on the existence of the tagging dictionary. On the other hand unsupervised tagging seems to be a reasonable solution because they use un-annotated language models. Part of speech (POS) tagging is the process of assigning a POS or other lexical class marker to each word in a language texts according to their respective POS label according to its definition and context (Chungku et al., 2010; Onyenwe, 2017). It is an important enabling task for NLP applications such as a preprocessing step to syntactic parsing, information extraction and retrieval, statistical machine translation, corpus linguistics, etc.
As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitations of the Study and Definition of technical terms.
CHAPTER TWO
2.0 Literature Review
2.1 Introduction
The review of relevant literature is the main topic of this chapter. A literature review covers theoretical and methodological contributions to a certain issue in addition to the state of knowledge at the time of writing. It provides information about the state of the art in relation to the subject you are writing about. It examines the body of work on the chosen subject. The literature evaluation in this study comprises the …
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