🧩 KeywordTemplateMatcher

A lightweight Python utility for expanding and matching natural language templates with slots, optional phrases, and alternatives. It supports fuzzy matching and slot extraction, making it ideal for prototyping NLU systems, voice assistants, or rule-based query matching.

🔧 Features

• ✅ Template expansion with:
  • Optional phrases ([optional])
  • Alternatives ((choice1|choice2))
  • Slots ({slot_name})
• ✅ Slot substitution with provided dictionaries
• ✅ Fuzzy matching with confidence scoring using rapidfuzz
• ✅ Simple template structure, extensible for any language/grammar rules
• ✅ Built-in integration with simplematch for fuzzy slot matching

📦 Installation

pip install keyword-template-matcher

🚀 Usage

1. Expanding a Template with Slots

from kw_template_matcher import expand_slots

template = "change [the ]brightness to {brightness_level} and color to {color_name}"
slots = {
    "brightness_level": ["low", "medium", "high"],
    "color_name": ["red", "green", "blue"]
}

for sentence in expand_slots(template, slots):
    print(sentence)

Output:

change the brightness to low and color to red
change brightness to high and color to blue
... (all combinations)

2. Template Matching

from kw_template_matcher import TemplateMatcher

matcher = TemplateMatcher()
matcher.add_templates([
    "[hello,] (call me|my name is) {name}",
    "tell me a [{joke_type}] joke"
])

query = "hello, my name is Alice"
results = matcher.match(query)

for match in results:
    print(match)

🧠 How It Works

Template Syntax

🧪 Test Example Templates

templates = [
    "[hello,] (call me|my name is) {name}",
    "tell me a [{joke_type}] joke",
    "play {query} [in ({device_name}|{skill_name}|{zone_name})]"
]

Produces expansions like:

- call me {name}
- hello, my name is {name}
- tell me a {joke_type} joke
- play {query}
- play {query} in {device_name}

🤝 Contributions

PRs, issues, and suggestions welcome! Feel free to open an issue or submit a pull request if you'd like to improve the matcher.

💬 Acknowledgements

• rapidfuzz for fast fuzzy matching
• simplematch for lightweight template parsing