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现货Computational Morphology[9781682510049]

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作者Iris Berent, Amanda Dupuis

出版社Intelliz Press LLC

ISBN9781682510049

出版时间2016-01

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纸张其他

正文语种英语

上书时间2023-08-08

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商品描述: Natural languages have intricate systems to create words and word forms from smaller units in a systematic way. The part of linguistics dealing with these phenomena is morphology. It continues with applications of computational morphology. The rest is devoted to processing techniques. Computational morphology has evolved from very modest beginnings using full form lexica or some ad-hoc concatenation techniques to the much more powerful tools available today. Computational morphology deals with the processing of words and word forms, in both their graphemic, i.e., written form, and their phonemic, i.e., spoken form. It has a wide range of practical applications. In formal language words are just arbitrary strings denoting constants or variables. Nobody would care about a morphology of formal languages. In natural languages the picture is very different. Every human language contains some hundred thousands of words. And continuously new words are integrated while others are drifting out of use. This infinity of words is produced from a finite collection of smaller units. The task of morphology is to find and describe the mechanisms behind this process. Computational Morphology presents an integrated set of techniques for the rigorous description of morphological phenomena in English and similar languages. First chapter focuses on Amodal aspects of linguistic design. Second chapter gives an introduction to morphology. Third chapter overviews on applications of computational morphology. Fourth chapter approaches on computational morphology and Sanskrit. Fifth chapter is about words—their relationships, their constituent parts, and their internal organization. Sixth chapter presents on computational morphology and Bantu language learning. Today, where development depends on knowledge and where knowledge is delivered through language, language learning at all levels of human development is crucial. Seventh chapter describes a corpus-based approach to the morphological analysis of Swahili. Eighth chapter shows that development of morphological analysis and generation as well as natural language parsing work has been successfully done for languages like English, Chinese, Arabic and European languages using various approaches from last few years. In ninth chapter explores the modular approach to language production. Last chapter attempts to identify and explain the key demographical and socioeconomic parameters that impact the entropy of each subject’s spoken texts. Both one-dimensional and multi-dimensional statistical models are proposed to quantify the relationships between the pertinent measure of lexical richness and the prominent indicative variables, including age, level of education, and profession premium..

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