Changes between Version 42 and Version 43 of private/NlpInPracticeCourse/AutomaticCorrection

Timestamp:

Dec 7, 2023, 9:19:02 AM (5 months ago)

Author:

Ales Horak

Comment:

--

private/NlpInPracticeCourse/AutomaticCorrection

@@ -62 +62 @@
    return set(deletes + transposes + replaces + inserts)
 }}}
-1. '''Edit distance 2'''(`edits2`) - applies `edits1()` to all the results of `edits1()`. Example: `len(edits2('something')) = 114 324` words, which is a high number. To enhance speed we can only keep the candidates that are actually known words (`known_edits2()`). Now `known_edits2('something')` is a set of just 4 words: `{'smoothing', 'seething', 'something', 'soothing'}`.
+1. '''Edit distance 2''' (`edits2`) - applies `edits1()` to all the results of `edits1()`. Example: `len(edits2('something')) = 114 324` words, which is a high number. To enhance speed we can only keep the candidates that are actually known words (`known_edits2()`). Now `known_edits2('something')` is a set of just 4 words: `{'smoothing', 'seething', 'something', 'soothing'}`.
 1. The function `correct()` chooses as the set of candidate words the set with the '''shortest edit distance''' to the original word.
  {{{
@@ -84 +84 @@
  4. Modify the code of `spell.py` to increase accuracy (`pct`) at `tests2` by 10 %. You may take an inspiration from the ''Future work'' section of [http://norvig.com/spell-correct.html the Norvig's article]. Describe your changes and write your new accuracy results to `<YOUR_FILE>`.
 
+ 5. Upload `<YOUR_FILE>` and the edited `spell.py` to the [/en/NlpInPracticeCourse homework vault (odevzdávárna)].
 
-=== Upload `<YOUR_FILE>` and the edited `spell.py` ===
 
 == Task 2: Rule based grammar checker (punctuation) for Czech == #task2