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Behavior Research Methods, Instruments, & Computers 2004, 36 (3), 432-443 Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons SUSANNE
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To fill out the verb subcategorization frequencies for American English, follow these steps:
01
Gather a representative sample of American English texts or speech data.
02
Identify a list of verbs that you want to analyze for their subcategorization patterns.
03
Determine the frequency with which each verb occurs in your data set.
04
For each verb, analyze its usage patterns to determine its subcategorization frames. This involves identifying the types of complements or arguments that typically occur with the verb and their syntactic structures.
05
Record the frequency of each subcategorization frame for each verb.

Verb subcategorization frequencies can be useful for:

01
Linguists and researchers studying the syntactic patterns of American English verbs.
02
Computational linguists developing natural language processing algorithms for tasks such as parsing or semantic analysis.
03
Lexicographers and lexicologists creating or updating dictionaries and lexical resources for American English.
04
Language teachers and educators designing language learning materials and curricula.
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Language technology developers working on machine translation, text-to-speech synthesis, or other language processing systems.
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Verb subcategorization frequencies refer to the statistical distribution of how verbs are used with various syntactic structures in American English.
Researchers, linguists, and language professionals engaged in linguistic studies or who are analyzing verb usage in American English may be required to file verb subcategorization frequencies.
To fill out verb subcategorization frequencies, individuals typically collect data on verb usage, analyze the syntactic constructions associated with those verbs, and report the findings in a specified format.
The purpose of verb subcategorization frequencies is to understand verb behavior in syntactic structures, aiding in the study of language patterns, teaching, and natural language processing.
Reported information typically includes verbs analyzed, their syntactic structures, frequency counts, and possibly examples of usage.
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