This paper examines the study of phonology in historical linguistics, the ways through which it evolves. In a specific language, words and their meaning changes over time. There exist various reasons for such changes such as one generation’s meaning of a particular word varies from another reason. This research analyses the history of historical linguistics and what it is all about. The findings of the research article reveal that the study of phonology is important to know the development of the sound structure. This article discusses various doctrines related to the study of phonology such as dependency phonology, metrical phonology, lexicon phonology, and the unit of phonological sound speech known as phonemes. The article further discusses the importance of Neo-grammarians and their academic views on linguistics. The paper inquiries the function of grammatical devices while expressing meaning and the ways these meanings change over time. This article shows the role of native speakers of different languages while adopting English words in their vocabulary to cause semantic changes in a language. The finding of the research also shows that children through their grammatical errors or by forming grammatical structure from limited data cause changes in a given language. The research discusses that word and their meaning varies and forsakes the existing meanings when semantic changes occur in a language.
In this generation of Internet, information and data are growing continuously. Even though various Internet services and applications. The amount of information is increasing rapidly. Hundred billions even trillions of web indexes exist. Such large data brings people a mass of information and more difficulty discovering useful knowledge in these huge amounts of data at the same time. Cloud computing can provide infrastructure for large data. Cloud computing has two significant characteristics of distributed computing i.e. scalability, high availability. The scalability can seamlessly extend to large-scale clusters. Availability says that cloud computing can bear node errors. Node failures will not affect the program to run correctly. Cloud computing with data mining does significant data processing through high-performance machine. Mass data storage and distributed computing provide a new method for mass data mining and become an effective solution to the distributed storage and efficient computing in data mining.
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