📝 Text Parsing

Token Processing, Grammar Rules, AST Generation, Language Recognition

The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Stop Words Using Spacy - NLP
dev.to·1d·
Discuss: DEV
📼Tape Linguistics
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·8h
📝Concrete Syntax
LR(1) parse-tables generator
github.com·1d·
Discuss: Lobsters, Hacker News
🔍Z3 Parsing
Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights
arxiv.org·1d
🤖Automated Parsing
Cactus Language • Syntax 10
inquiryintoinquiry.com·2d
📝Concrete Syntax
June 25, 2025 Flight Tracking Workshop (4 hour) [Americas / Europe-friendly time]
bellingcat.com·14h
🧮Prolog Parsing
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·16m
📊Graph Databases
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
arxiv.org·1d
📝Concrete Syntax
Semantic-Aware Parsing for Security Logs
arxiv.org·1d
📝Log Parsing
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.ai·19h·
Discuss: Hacker News
🤖Archive Automation
Multimodal Political Bias Identification and Neutralization
arxiv.org·1d
🤖Advanced OCR
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·18h
🤖Grammar Induction
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·1d
🔤Character Classification
Build a Sentence-Level Text-to-Speech Reader in JavaScript
jsdev.space·2d·
Discuss: Hacker News
🌳Incremental Parsing
End-to-End Spoken Grammatical Error Correction
arxiv.org·1d
🔍Z3 Parsing
A Beginner’s Note on Natural Language Processing: Key Takeaways
dev.to·3d·
Discuss: DEV
🤖Automated Parsing
The Guide to the Foundation Models Framework
azamsharp.com·50m·
Discuss: Hacker News
λLambda Formalization
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·3h·
Discuss: Hacker News, r/programming
🔗Lisp
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·33m·
Discuss: DEV
🧠Machine Learning