A syllable-based tokenizer for Turkish enables a tiny 1.5M-parameter model to reach 50.3% Recall@5 on TQuAD retrieval, beating a much larger morphology baseline.
MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies
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HeceTokenizer: A Syllable-Based Tokenization Approach for Turkish Retrieval
A syllable-based tokenizer for Turkish enables a tiny 1.5M-parameter model to reach 50.3% Recall@5 on TQuAD retrieval, beating a much larger morphology baseline.
- MinGram: A Minimalist Unigram Tokenizer with High Compression and Competitive Morphological Alignment