graph LR
Language_Detector_API["Language Detector API"]
Detector_Factory_Module["Detector Factory Module"]
Factory_Initialization["Factory Initialization"]
Profile_Loading_Functions["Profile Loading Functions"]
Core_Detector_Algorithm["Core Detector Algorithm"]
Language_Profile_Data["Language Profile Data"]
Language_Detector_API -- "delegates to" --> Detector_Factory_Module
Detector_Factory_Module -- "orchestrates" --> Factory_Initialization
Detector_Factory_Module -- "creates and delegates to" --> Core_Detector_Algorithm
Factory_Initialization -- "invokes" --> Profile_Loading_Functions
Profile_Loading_Functions -- "constructs" --> Language_Profile_Data
Core_Detector_Algorithm -- "utilizes" --> Language_Profile_Data
click Language_Detector_API href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/langdetect/Language_Detector_API.md" "Details"
The Language Detector API subsystem is the core of the langdetect library, providing the public interface for language identification. It encompasses the mechanisms for initializing the system, managing language profiles, and executing the language detection algorithm.
Language Detector API [Expand]
The primary public interface for the langdetect library, providing high-level functions (detect, detect_langs) for users to perform language detection. It acts as a facade, abstracting the underlying complexities of Detector instance management and profile loading.
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Manages the lifecycle of Detector instances and language profiles. It orchestrates the initialization process, creates Detector objects, and delegates detection tasks. It embodies the Factory pattern for Detector objects.
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Responsible for the initial setup of the DetectorFactory, primarily by loading all necessary language profiles into memory. This ensures the system is ready for detection operations and is implicitly called by public API methods.
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Handles the parsing and loading of language model data (statistical information) from various sources (e.g., JSON files) into LangProfile objects. These functions are internal to the factory's setup process.
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Encapsulates the core language detection algorithm. It processes input text, applies statistical models based on loaded profiles, and determines the language(s) by calculating probabilities.
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Represents a loaded language model profile, containing the statistical data (e.g., n-gram frequencies, character counts) essential for the Detector to perform language identification. It's the structured representation of the language models.
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