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  3. Introduction to Natural Language Processing in Python

Exercise

Non-ascii tokenization

In this exercise, you'll practice advanced tokenization by tokenizing some non-ascii based text. You'll be using German with emoji!

Here, you have access to a string called german_text, which has been printed for you in the Shell. Notice the emoji and the German characters!

The following modules have been pre-imported from nltk.tokenize: regexp_tokenize and word_tokenize.

Unicode ranges for emoji are:

('\U0001F300'-'\U0001F5FF'), ('\U0001F600-\U0001F64F'), ('\U0001F680-\U0001F6FF'), and ('\u2600'-\u26FF-\u2700-\u27BF').

Instructions

100 XP
  • Tokenize all the words in german_text using word_tokenize(), and print the result.
  • Tokenize only the capital words in german_text.
    • First, write a pattern called capital_words to match only capital words. Make sure to check for the German Ü! To use this character in the exercise, copy and paste it from these instructions.
    • Then, tokenize it using regexp_tokenize().
  • Tokenize only the emoji in german_text. The pattern using the unicode ranges for emoji given in the assignment text has been written for you. Your job is to use regexp_tokenize() to tokenize the emoji.