Slangify::Tutorial

Slangify::Tutorial - Extract structured data from natural language restaurant booking text

SYNOPSIS

use Slangify::Tutorial;

say extract-booking("Jane booked a table for 4 at 7:30pm tomorrow at Bistro Verde");
# {
#   "name": "Jane",
#   "party": 4,
#   "time": "19:30",
#   "restaurant": "Bistro Verde",
#   "date": "tomorrow"
# }

DESCRIPTION

Uses LLM::Functions to normalize free-form booking text to a canonical DSL, then a Raku Grammar + Actions + Actionable pipeline to extract structured fields.

The canonical DSL form (parseable standalone in Grammar Editor / Slangify Playground):

name "Jane" party 4 time 19:30 restaurant "Bistro Verde" date tomorrow

Playground Link

Slangify Tutorial

AUTHOR

Stephen Roe librasteve@furnival.net

COPYRIGHT AND LICENSE

This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.