Normalize searchable Unicode… — Repository coding | OneNoughtOne

Search, Parsing & Dependency Engines0/97 completed

Computing Document Term Relevance Scores
Probabilistic Document Relevance Scorer (BM25)
Normalize searchable Unicode words without changing source text
Normalize searchable Unicode words without changing source text
Give AND tighter binding than OR in search expressions
Give AND tighter binding than OR in search expressions
Match phrases by consecutive token positions
Match phrases by consecutive token positions
Rank with document frequencies and token lengths
Count distinct document terms while normalizing by characters
Keep snippet windows and highlights in code-point coordinates
Slice snippets by code points while retaining UTF-16 token offsets

Course overview & roadmap

101OneNoughtOne

0/97

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Search, Parsing & Dependency Engines0/97 completed

Computing Document Term Relevance Scores
Probabilistic Document Relevance Scorer (BM25)
Normalize searchable Unicode words without changing source text
Normalize searchable Unicode words without changing source text
Give AND tighter binding than OR in search expressions
Give AND tighter binding than OR in search expressions
Match phrases by consecutive token positions
Match phrases by consecutive token positions
Rank with document frequencies and token lengths
Count distinct document terms while normalizing by characters
Keep snippet windows and highlights in code-point coordinates
Slice snippets by code points while retaining UTF-16 token offsets

Course overview & roadmap

101OneNoughtOne

0/97

Normalize searchable Unicode words without changing source text

Full-width and compatibility-form words fail to match ordinary query text. Normalize token identities with NFKC and locale-independent lowercasing while keeping original source spans for display.

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Normalize searchable Unicode words without changing source text

Full-width and compatibility-form words fail to match ordinary query text. Normalize token identities with NFKC and locale-independent lowercasing while keeping original source spans for display.

Work with the stack you want to practice. Your workspace and timer start after you choose.

Checking your account…

Back to challenges