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Linguistic Analysis Module

The Linguistic Analysis Module of Open Brain AI provides a variety of tools for analyzing the linguistic features of text and transcripts. These tools can be used by clinicians and researchers to assess the language skills of people with speech, language, and communication disorders.

Linguistic Domains

The Linguistic Analysis Module analyzes text and transcripts in the following linguistic domains:

• Phonology: This domain analyzes the sounds of language, such as the number and type of syllables, the ratio of syllables per word, and the use of stress and intonation.
• Morphology: This domain analyzes the structure of words, such as the parts of speech (e.g., nouns, verbs, adjectives, adverbs, and conjunctions) and the use of morphemes (e.g., prefixes and suffixes).
• Syntax: This domain analyzes the structure of sentences, such as the use of noun phrases, verb phrases, and clauses.
• Lexical Measures: This domain analyzes the vocabulary used in the text, such as the number of words, hapax legomena (words that occur only once), and measures of Type Token Ratio (TTR).
• Semantic Measures: This domain analyzes the meaning of the text, such as the number of semantic entities (e.g., people, dates, and locations) and the use of figurative language.
• Readability Measures: This domain analyzes the readability of the text, such as the Flesch-Kincaid readability score.

How to Use

To use the Linguistic Analysis Module, you first need to upload a text or transcript to the Open Brain AI platform. Once the text or transcript has been uploaded, automatic measures for each linguistic domain will be calculated. The Linguistic Analysis Module will then generate a report that provides the results of the analysis.

The report will include a table of the results for each linguistic domain. The table will include the following information:

Interpreting Results

The results of the Linguistic Analysis Module can be used to assess the language skills of people with speech, language, and communication disorders.

The results of the Linguistic Analysis Module can also be used to track the progress of people with speech, language, and communication disorders over time. For example, if a child with aphasia is receiving speech therapy, the Linguistic Analysis Module can be used to track the child's progress in the areas of phonology, morphology, syntax, lexical measures, semantic measures, and readability.

Conclusion

The Linguistic Analysis Module is a powerful tool that can be used to assess the language skills of people with speech, language, and communication disorders. The tools in the toolkit are easy to use and can be used by clinicians and researchers of all levels of experience.