Task: Implement a Weighted Edit Distance System with Keyboard-Aware and Context-Sensitive Typo Correction
Task: Implement a Weighted Edit Distance System with Keyboard-Aware and Context-Sensitive Typo Correction: a task in Terminal-Lego-15k (Harbor dataset). You are building a fuzzy matching system for an NLP search engine that needs to match user input text to a dictionary of known terms (e.g…
The task
You are building a fuzzy matching system for an NLP search engine that needs to match user input text to a dictionary of known terms (e.g., travel destinations, time expressions). Standard Damerau-Levenshtein distance treats all edit operations equally (weight = 1), but this doesn't reflect real-world typing…
Part of PrimeIntellect/Terminal-Lego-15k.