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Feature_Generation_Module.md

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graph LR
    CBNGramFeature["CBNGramFeature"]
    Core_Lexical_Analysis_Engine["Core Lexical Analysis Engine"]
    CBNGramFeature -- "provides" --> Core_Lexical_Analysis_Engine
    Core_Lexical_Analysis_Engine -- "consumes" --> CBNGramFeature
    click Core_Lexical_Analysis_Engine href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/THULAC-Python/Core_Lexical_Analysis_Engine.md" "Details"
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Details

The Feature Generation Module, primarily embodied by CBNGramFeature, serves as a foundational component responsible for creating character-based N-gram features. It orchestrates the entire feature lifecycle, from base unit extraction to value aggregation. This module directly supports the Core Lexical Analysis Engine by providing it with the essential N-gram features, enabling subsequent lexical analysis. The interaction pathway involves the Core Lexical Analysis Engine consuming features generated by CBNGramFeature, highlighting a clear producer-consumer relationship within the system.

CBNGramFeature

This class is the core of the Feature Generation Module. It is responsible for the entire lifecycle of character-based N-gram feature creation. It acts as the primary interface for other modules (e.g., Core Lexical Analysis Engine) to obtain these features. Its responsibilities include: Orchestration of Feature Generation, Base Unit Extraction, Feature Value Aggregation/Storage.

Related Classes/Methods:

Core Lexical Analysis Engine [Expand]

This component is responsible for performing lexical analysis, utilizing the character-based N-gram features provided by the CBNGramFeature module. It processes these features to derive linguistic insights or prepare data for further processing.

Related Classes/Methods: None

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