High-performance, linguistically-aware Luganda BPE tokenizer. Features deterministic output, syllable-boundary preservation, and SIMD-optimized C implementation (SSE4.1/AVX-512/NEON) for ultra-fast processing.
# 🇺🇬 Luganda Morphological Tokenizer
A high-performance, production-grade tokenizer for the Luganda language, featuring a hybrid syllabification-based BPE approach, Re-Pair grammar compression, and a memory-optimized Split CSR LOUDS trie.
## 🚀 Key Features
- **Linguistic Syllabification**: Luganda-aware syllable boundary detection with support for geminates, pre-nasalized consonants, and long vowels.
- **Re-Pair Compression**: Iterative byte-pair encoding (BPE) variant optimized for morphology, delivering high compression ratios while preserving linguistic units.
- **Split CSR LOUDS Trie**: A state-of-the-art, memory-mapped trie layout using Compressed Sparse Row (CSR) for O(1) fast-path lookups and minimal memory footprint.
- **Aho-Corasick Truth Layer**: Integrated verification layer for identifying overlapping morphological matches and enforcing truth-set alignment.
- **Zero-Copy Streaming**: Production-ready streaming API with lookahead margins and robust EOF handling.
- **Memory Efficient**: mmap-based "page after page" corpus loading for multi-gigabyte training sets, supporting arbitrarily long lines (65KB+).
## 📊 Performance
| Configuration | Cycles/Token | Tokens/Sec (3GHz) | Cycles/Byte |
|---------------|-------------|-------------------|-------------|
| **Regular** | 872 | 3.4M | 425.99 |
| **Fused** | 1,267 | 2.4M | 431.02 |
*Benchmarks on 9,389 documents, 670KB corpus. Fused path overhead includes real-time Aho-Corasick morphological annotation.*
## 🏗️ Architecture
The tokenizer operates in a multi-stage pipeline:
1. **Syllabification**: Raw text is decomposed into a stream of Luganda syllables.
2. **Re-Pair Training**: Global frequency analysis identifies optimal merges to form subwords and tokens.
3. **Trie Construction**: Tokens are compiled into a LOUDS (Level-Order Unary Degree Sequence) trie using a Split CSR layout.
4. **Truth Layer Integration**: The Aho-Corasick automaton is b …