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Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Some words which end with **-us** that have plural forms with **-i** are giving incorrect results. ``` >>> word_list = ['focus','cactus','fungus','nucleus','syllabus'] >>> for w in word_list: ... print(pluralize(w)) ... foci...
The built-in `singularize` function yields lots of false positives: Here're some examples: 1) business 2) virginia 3) tour 4) loss It ends up I need to define a self-maintained exception...
In [2]: pattern.en.pluralize("quiz") Out[2]: 'quizs' Should be quizzes - as the singularize method *does* know In [3]: pattern.en.singularize("quizzes") Out[3]: 'quiz'
Uploaded another example using the pattern.web module. An Indian language named Malayalam was added here and according to the search results obtained by entering a Malayalam keyword, a classification was...
I am new in python. What is the error of this while installing? Complete output from command python setup.py egg_info: Traceback (most recent call last): File "", line 1, in...
Fix for #141 , #175 , #176 And fixed typo in metrics.py
Conjugating a verb "found" is not working properly. The result is the same as conjugating a verb "find". lexeme('found') also gives the same result as find. ['find', 'finds', 'finding', 'found']...
``` from pattern.search import search, taxonomy, Classifier from pattern.en import parsetree for flower in ("rose", "lily", "daisy", "daffodil", "begonia"): taxonomy.append(flower, type="flower") tree = parsetree("A field of white daffodils.", lemmata=True) result...
``` >>>lexeme('encumbered') >>>['encumber', 'encumbers', 'encumberring', 'encumberred'] ``` but the word `encumber`'s past tense should be `encumbered`. also the word `crossbreed`'s past tense should be `crossbreed`. found that all words endswith...
