The Digital Curator

Precision Tokenization for the Tamil Language.

Asai Tokenizer is a high-performance, linguistically aware engine designed specifically for the complexities of Tamil. Unlike generic sub-word tokenizers, Asai respects agglutination, sandhi rules, and the unique UTF-8 character density of the Tamil script.

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Morphological Awareness

Handles complex suffix combinations and root-word identification with 99.4% accuracy.

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Optimized for LLMs

Reduces token overhead by up to 40% compared to standard byte-pair encoding (BPE).

Quick Start Guide

python

1 from ailaysa import tokenizer

2

3 tok = tokenizer.load("asai-v1")

4 text = "தமிழை உலகமெங்கும் கொண்டு சேர்ப்போம்."

5 encoded = tok.encode(text)

6

7 print((encoded.ids))

8 print((encoded.tokens))

9 print((encoded.length))

Tamil Script Logic

Tamil is an agglutinative language, where words are formed by adding suffixes to a root word. Standard tokenizers often break these suffixes into meaningless sub-word units. Asai uses a Linguistic Semantic Layer to identify 'uyirmei' clusters and preserve the integrity of grammatical markers.

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Agglutination Handling

Properly separates 'வந்தார்கள்' (vantharkal) into root + tense + gender/number markers.

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Unicode Normalization

Standardizes NFC/NFD variations common in Tamil digital input systems.

Token Analysis

தமி ழை உ ல க மெ ங் கு ம்

Compression Ratio 2.4x

Efficiency Benchmarks

Tokens per 1000 Words (Tamil)

GPT-4o ~4,200 tokens

Asai Tokenizer ~1,850 tokens

Claude 3.5 Sonnet ~3,800 tokens

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Lightning Fast Execution

0.02ms

Average latency per sentence