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CORPUSBASED TRANSITIVITY BIASES IN PEOPLE WITH APHASIA By JENNIFER NICOLE DILALLO___A Thesis Submitted to The Honors College In Partial Fulfillment of the Bachelors degree With Honors in Speech, Language,
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How to fill out corpus-based transitivity biases in

01
Collect a large corpus of text data that contains examples of transitive verbs.
02
Analyze the corpus to identify the transitivity biases based on the frequency of occurrence of different types of transitive constructions.
03
Create a database or table to store the transitivity biases along with relevant information such as verb, subject, and object.
04
Use this database to identify patterns or trends in transitivity usage, which can then inform linguistic studies or natural language processing tasks.

Who needs corpus-based transitivity biases in?

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Linguists studying syntax and semantics to analyze patterns in language use.
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Translators working on language translation tasks to improve accuracy and fluency in their translations.
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Corpus-based transitivity biases refer to patterns observed in language use regarding how different verbs or actions are processed as transitive or intransitive based on linguistic data from a corpus.
Researchers and linguists analyzing language data are typically required to file reports on corpus-based transitivity biases.
To fill out reports on corpus-based transitivity biases, one must collect data from a linguistic corpus, categorize verbs according to their transitivity, and analyze the frequency of usage.
The purpose is to understand how transitivity affects language patterns, providing insights into language structure and usage that can inform linguistic theory and practice.
Reports must include verb classifications, frequency counts, contextual examples, and any relevant statistical analyses that highlight transitivity biases found in the corpus.
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