Case Study // tokenizer-pipeline

Edge Tokenizer

Hybrid BPE/BBPE tokenizer for Hinglish with O(1) C++ optimization.

OOV Rate0%

LookupO(1)

Latency<1ms

LanguageHinglish

DEMO_RECORDING

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02 // Architecture Execution

Built a custom BPE tokenizer featuring a Hybrid Code-Mixed Router to eliminate token shattering. Optimized the lookup engine using a C++ Hash Map for O(1) efficiency, achieving sub-1ms latency on simulated edge hardware.

01 // The Problem Context

Standard BPE tokenizers often 'shatter' transliterated Hinglish text into meaningless individual characters, losing critical semantic roots during inference.

System Stack

PythonC++FastAPINext.js

core_module.ts

// C++ O(1) Hash Map Lookup
std::string lookupToken(int tokenID) {
    auto it = vocabMap.find(tokenID);
    return (it != vocabMap.end()) ? it->second : "[UNK]";
}
// Optimized for single-core edge environments

Source Code