Skip to main content

A Natural Language processing parser for Zork-style games

Project description

Natan Logical Engine (NLE)

Overview

Natan Logical Engine (NLE) is a simple natural language parser designed to interpret player commands in text-based games or interactive fiction. It processes input strings, removes stop words, resolves pronouns based on context, and extracts structured commands (verb and object) from user input.

Features

  • Stop Word Removal: Ignores common words that do not affect command meaning.
  • Pronoun Resolution: Substitutes pronouns with the last referenced object for contextual understanding.
  • Syntactic Analysis: Identifies verbs and objects from the input and returns structured commands.
  • Logging: Provides detailed debug and info logs for development and debugging.

Usage

Example usage in Python:

from NLEParser.parser import NLEParser

config = {
    "language": "en-us",
}
vocabulary = {
    "pronouns": {"he", "she", "it", "this", "that"},
    "verbs": {"take", "look", "use"},
    "objects": {"key", "door", "box"},
}
stop_words = {"the", "a", "an", "of", "in", "on", "at", "to"}

parser = NLEParser(config, vocabulary, stop_words)

parsed_command = parser.parse("take the key")
print(parsed_command)  # Output: {'verb': 'take', 'object': 'key'}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nleparser-0.2.3.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nleparser-0.2.3-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file nleparser-0.2.3.tar.gz.

File metadata

  • Download URL: nleparser-0.2.3.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for nleparser-0.2.3.tar.gz
Algorithm Hash digest
SHA256 a19486bf7dbda552aa62384d0855116bba1db9e1b8a1e199432bdad5e6a63eda
MD5 af21eb7a7edfa4e3beed24d2cb909c27
BLAKE2b-256 eea33e0b2ee045421b5b47087178d07d9894f9499526a23e12f38d2f2f6b38b8

See more details on using hashes here.

File details

Details for the file nleparser-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: nleparser-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for nleparser-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4b26bf3925c0d4e47a80497fc3bdbc39ded1b1aae6828cab67145feb38d2982f
MD5 80b45411302dd8bbd1fe2dac5154495d
BLAKE2b-256 cb555db5d344dc3841dea1e1ad56fb3e607940cae9d4ee2d2392b953a6f99b98

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page