மரங்களை
Tamil Semantic Tokenizer
Morphology-Aware Semantic Tokenizer for Tamil based on FST models
Software engineering · AI research
Anand Murugan
AI-Native Builder, Engineer and Researcher
AI-Native Builder, Engineer and Researcher with more than a decade of experience building production software.
anand.murugan@gmail.comResearch and analysis
Articles
Which Action Deserved the Reward? Exploring Credit Assignment in Reinforcement Learning
An experiment-by-experiment study of whether action-level feedback can improve reinforcement learning for language models.
Does the LM Head Create a Harmful Gradient Bottleneck? A Causal Test
A response to the LM-head bottleneck claim using backward-only rank controls, repeated-token exposure tests, and small language models.
மரங்களை
Morphology-Aware Reversible Semantic Tokenization and Hierarchical Word Composition for Tamil Language Models
A technical study of reversible Tamil semantic tokenization, hierarchical word composition, and a controlled six-system translation comparison.
A Quantitative Overview of Modern Tamil Lexicon and Morphology
How fewer than 140,000 root lemmas and inflectional rules generate more than 2.13 billion distinct Tamil written forms.
Treating Numbers, UUIDs, Dates and Codes as Entities in Language Models: What Worked and What Failed
Experiments with entity registers and typed references for exact values—and why choosing the right entity remained hard.
Duality, Cause & Effect and Word & Form
An ontological exploration of duality and the fundamental relation between Word and Form.
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Selected work
Projects
Tamil Alphabet Practice
Adaptive two-way practice for Tamil vowels, consonants, Grantha letters, and உயிர்மெய் forms.
Tamil Vocabulary Practice
Reading, transliteration, and meaning practice across 5,000 Tamil words.
Hiragana Practice
Adaptive two-way practice matching Japanese hiragana with their romaji readings.
Japanese Vocabulary Practice
Reading, transliteration, and meaning practice across 5,000 Japanese words.
RocketShop
Multi-tenant commerce platform with merchant and customer applications.