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AN ABSTRACT OF THE DISSERTATION OF Briana Marquez for the degree of Doctor of Philosophy in Counseling presented on July 24, 2023. Title: A Corpus Linguistic Analysis of the Child and Therapist Relationship
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Collect a large and diverse sample of text data for analysis.
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Preprocess the text data by removing any irrelevant information such as stopwords and punctuation.
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Tokenize the text data into individual words or phrases for analysis.
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Calculate relevant linguistic features such as word frequency, collocations, and n-grams.
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Analyze the corpus using statistical methods to identify patterns and trends in the language use.

Who needs a corpus linguistic analysis?

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Linguists studying language usage patterns in different contexts.
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Language teachers looking to understand the language proficiency of their students.
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Researchers investigating language change and evolution over time.
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A corpus linguistic analysis is a method used to study the structure and usage of language through the examination of large collections of written or spoken texts, known as corpora.
Typically, researchers, linguists, and those conducting language studies or assessments may be required to file a corpus linguistic analysis, depending on the scope of their work.
To fill out a corpus linguistic analysis, one must collect relevant texts, select appropriate software tools for analysis, categorize the data, and accurately report findings and patterns observed within the corpus.
The purpose of a corpus linguistic analysis is to gain insights into language use, identify patterns, and understand linguistic phenomena through empirical evidence derived from actual language data.
Information reported on a corpus linguistic analysis includes text sources, sample size, linguistic features examined, methodology used, and key findings along with interpretations of the data.
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