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word_concordance

Extract structured word concordances from Norwegian digital collections for programmatic analysis, separating matched words from surrounding context with before/target/after fields.

Instructions

Find concordances with structured output (no HTML formatting).

Returns clean format with separate before/target/after fields instead of HTML-formatted text. This is useful for programmatic analysis where you need the matched word separated from context.

Args: urn: URN identifier for the document word: Word to find concordances for window: Number of words before and after the match (default: 12, max: 24) limit: Maximum number of concordances to return (default: 100)

Returns: JSON string containing structured concordance results with fields: - dhlabid: Document identifier - before: Text before the matched word - target: The matched word itself - after: Text after the matched word

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnYes
wordYes
windowNo
limitNo

Implementation Reference

  • The @mcp.tool()-decorated function that defines and implements the 'word_concordance' tool handler. It delegates to an external dhlab.api function but handles input parameters, error handling, and JSON output formatting.
    @mcp.tool() def word_concordance( urn: str, word: str, window: int = 12, limit: int = 100, ) -> str: """Find concordances with structured output (no HTML formatting). Returns clean format with separate before/target/after fields instead of HTML-formatted text. This is useful for programmatic analysis where you need the matched word separated from context. Args: urn: URN identifier for the document word: Word to find concordances for window: Number of words before and after the match (default: 12, max: 24) limit: Maximum number of concordances to return (default: 100) Returns: JSON string containing structured concordance results with fields: - dhlabid: Document identifier - before: Text before the matched word - target: The matched word itself - after: Text after the matched word """ try: from dhlab.api.dhlab_api import word_concordance as dhlab_word_concordance # Call dhlab's word_concordance method directly # Note: urn parameter expects a list, words parameter expects a list result = dhlab_word_concordance( urn=[urn], words=[word], before=window, after=window, limit=limit ) if result is not None and len(result) > 0: return result.to_json(orient='records', force_ascii=False) return "No concordances found" except Exception as e: return f"Error finding word concordances: {str(e)}"

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