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The Language Learning Toolkit (LLTK) performs a variety of tasks useful for (human) language learning.

Project Description

The Language Learning Toolkit combines several approaches such as natural language processing and web scraping to perform a variety of tasks useful for (human) language learning. This includes:

  • Part-of-speech tagging (POS) supported by Pattern
  • Phonetic transcriptions in accordance with the International Phonetic Alphabet (IPA)
  • Audiosamples (Forvo, Google Translate)
  • Textsamples/Sample sentences (Tatoeba)
  • Visual representations of a given word using Google Images
  • Conjugation of verbs (Present, Perfect, Past, Pluperfect, Future) supported by Verbix
  • Pluralization of nouns (accuracy depending on the language)
  • Indefinite and definite articles for nouns (accuracy depending on the language)
  • Comparative and superlative for adjectives
  • Basic gender detection for nouns

Release history Release notifications

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0.2.4

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0.2.3

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0.2.2

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0.2.1

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0.2.0

This version
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0.1.2

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0.1.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
lltk-0.1.2.tar.gz (16.9 kB) Copy SHA256 hash SHA256 Source None Jul 31, 2014

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