Python Programming for Linguistics and Text-focussed Digital Humanities: Applications for Text-Focused Fields - Tapa blanda

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Martin Weisser is an independent researcher. He has previously held several academic appointments, including Visiting Professor at the University of Salzburg, Austria, Professor of Linguistics and Applied Linguistics in Foreign Languages at Guangdong University, China, and Adjunct Professor of English Linguistics at the University of Bayreuth, Germany. He is the author of Practical Corpus Linguistics: An Introduction to Corpus-Based Language Analysis (Wiley Blackwell, 2016) and the developer of several software tools for language analysis.

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Python programming is no longer only for computer science students; it is now an essential skill in linguistics, the digital humanities (DH), and social science programs that involve text analytics. Python Programming for Linguistics and Digital Humanities provides a comprehensive introduction to this widely used programming language, offering guidance on using Python to perform various processing and analysis techniques on text. Assuming no prior knowledge of programming, this student-friendly guide covers essential topics and concepts such as installing Python, using the command line, working with strings, writing modular code, designing a simple graphical user interface (GUI), annotating language data in XML and TEI, creating basic visualizations, and more.

This invaluable text explains the basic tools students will need to perform their own research projects and tackle various data analysis problems. Throughout the book, hands-on exercises provide students with the opportunity to apply concepts to particular questions or projects in processing textual data and solving language-related issues. Each chapter concludes with a detailed discussion of the code applied, possible alternatives, and potential pitfalls or error messages. Featuring practical examples of language analysis which gradually move from simple concepts and programs to more complex projects, this textbook describes how to build a variety of data visualizations, such as frequency plots and word clouds and focuses on the text processing applications of Python, including creating word and frequency lists, recognizing linguistic patterns, and processing words for morphological analysis. Students will also have access to a companion website with all Python programs produced in the chapter exercises and additional Python programming resources. Visit the webiste at: www.wiley.com/go/weisser/pythonprogling

Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields is a must-have resource for students pursuing text-based research in the humanities, the social sciences, and all subfields of linguistics, particularly computational linguistics and corpus linguistics.