Dr. Anya Sharma, a computational linguist, is developing a novel information retrieval system designed to process multilingual documents with a high degree of accuracy. The system needs to automatically identify and categorize the scripts used within each document to ensure correct indexing and retrieval. Dr. Sharma is particularly concerned with handling documents that contain text in closely related scripts, such as Serbian (using Cyrillic) and Croatian (using Latin), where some characters might visually overlap or be easily confused by optical character recognition (OCR) software.\n\nTo optimize the system\'s performance and minimize script misidentification, Dr. Sharma needs to choose the most appropriate method for script identification. Considering the importance of interoperability, clarity, and the need to distinguish between closely related scripts, which approach would provide the most robust and reliable solution for Dr. Sharma\'s information retrieval system, ensuring accurate script identification and minimizing potential errors in multilingual document processing?