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Dr. Anya Sharma, a computational linguist, is working on a project to digitize a collection of historical Japanese texts. These texts contain a significant number of Kanji characters, some of which exhibit subtle variations in glyphs and semantic nuances depending on the region and time period they were written. Understanding the interplay between ISO 15924 and Unicode is crucial for accurate representation and retrieval of information. Considering the principles of Han unification in Unicode and the script identification scope of ISO 15924, what best describes the challenges Dr. Sharma faces when encoding these texts, and how can she address them within the framework of these standards to preserve the integrity and searchability of the digitized collection?
While Unicode aims for semantic unity by assigning a single code point to semantically equivalent characters despite glyph variations, potentially leading to the loss of subtle distinctions, ISO 15924 provides a means to identify the Japanese script, requiring Dr. Sharma to employ supplementary techniques like font selection and language tagging to accurately represent glyph variants and semantic drift in Kanji for proper display and search functionality.
ISO 15924 offers comprehensive support for distinguishing between all glyph variants of Kanji characters, ensuring that each visual representation is uniquely encoded, which allows Dr. Sharma to bypass the limitations of Unicode's Han unification and maintain complete visual fidelity in her digitized texts without needing additional language tagging.
Unicode's strict adherence to encoding each glyph variant of Kanji characters with a unique code point, as mandated by ISO 15924, guarantees that Dr. Sharma can perfectly preserve every visual nuance of the historical texts; however, this approach may lead to compatibility issues with modern systems that do not support these extensive character sets.
Since both ISO 15924 and Unicode treat all Kanji characters as visually and semantically identical, Dr. Sharma can simply encode the texts using standard Unicode encoding, ignoring the glyph variations and semantic nuances, as these differences are considered irrelevant for modern digital representation and search functionality.

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