Changes between Version 20 and Version 21 of private/NlpInPracticeCourse/AutomaticCorrection


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Timestamp:
Dec 8, 2017, 6:55:32 PM (6 years ago)
Author:
Ales Horak
Comment:

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  • private/NlpInPracticeCourse/AutomaticCorrection

    v20 v21  
    3030The example is based on Peter Norvig's [[http://norvig.com/spell-correct.html|Spelling Corrector]] in python. The spelling corrector will be trained with a large text file consisting of about a million words.
    3131
    32 We will test this tool on prepared data. Your goal will be to enhance spellchecker's accuracy. If you finish early, there is a bonus question in the `task` section. 
     32We will test this tool on prepared data. Your goal will be to enhance spellchecker's accuracy.
    3333
    3434
    … …  
    7676
    7777==== Task 1 ====
    78  1. Create `<YOUR_FILE>`, a text file named ia161-UCO-14.txt where UCO is your university ID.
     78 1. Create `<YOUR_FILE>`, a text file named `ia161-UCO-13.txt` where UCO is your university ID.
    7979
    8080 2. Run `spell.py` with developement and final test sets (test1 and test2), write the results in `<YOUR_FILE>`.
    … …  
    8686 5. Run the script with `verbose=True` and examine given results. Try to suggest at least one adjustment how to enhance spellchecker's accuracy. Write your suggestions to `<YOUR_FILE>`.
    8787
    88  -Bonus question- How could you make the implementation faster without changing the results? Write your suggestions to `<YOUR_FILE>`.
    8988
    9089==== Upload `<YOUR_FILE>` and edited `spell.py` ====