def dir_corpus(plain_dir, chunk_name='article', encoding='utf8', 
               paragraphs=True, word_len=2, nltk_stop=True, stop_freq=1, 
               add_stop=None, corpus_sent=True, 
               ignore=['.log', '.pickle', '.xml'], decode=False, simple=False):
    """
    `dir_corpus` is a convenience function for generating Corpus
    objects from a directory of plain text files.

    `dir_corpus` will retain file-level tokenization and perform
    sentence and word tokenizations. Optionally, it will provide
    paragraph-level tokenizations.

    It will also strip punctuation and arabic numerals outside the
    range 1-29. All letters are made lowercase.

    :param plain_dir: String containing directory containing a 
        plain-text corpus.
    :type plain_dir: string-like
    
    :param chunk_name: The name of the tokenization corresponding 
        to individual files. For example, if the files are pages 
        of a book, one might set `chunk_name` to `pages`. Default 
        is `articles`.
    :type chunk_name: string-like, optional
    
    :param paragraphs: If `True`, a paragraph-level tokenization 
        is included. Defaults to `True`.
    :type paragraphs: boolean, optional
    
    :param word_len: Filters words whose lengths are <= word_len.
        Default is 2.
    :type word_len: int, optional

    :param nltk_stop: If `True` then the corpus object is masked 
        using the NLTK English stop words. Default is `False`.
    :type nltk_stop: boolean, optional
    
    :param stop_freq: The upper bound for a word to be masked on 
        the basis of its collection frequency. Default is 1.
    :type stop_freq: int, optional

    :param corpus_sent: If `True` a CorpusSent object is returned.
        Otherwise Corpus object is returned. Default is `True`. 
    :type corpus_sent: boolean, optional

    :param add_stop: A list of stop words. Default is `None`.
    :type add_stop: array-like, optional

    :param ignore: The list containing suffixes of files to be filtered.
        The suffix strings are normally file types. Default is ['.json',
        '.log', '.pickle'].
    :type ignore: list of strings, optional

    :returns: c : Corpus or CorpusSent
        Contains the tokenized corpus built from the input plain-text
        corpus. Document tokens are named `documents`.
    
    :See Also: :class: Corpus, :class: CorpusSent, :meth: dir_tokenize,
        :meth: apply_stoplist
    """
    chunks = []
    filenames = os.listdir(plain_dir)
    filenames = filter_by_suffix(filenames, ignore)
    filenames.sort()

    for filename in filenames:
        filename = os.path.join(plain_dir, filename)
        if encoding == 'detect':
            encoding = detect_encoding(filename)
        try:
            if decode:
                with open(filename, mode='r', encoding=encoding) as f:
                    chunks.append(unidecode(f.read()))
            else:
                with open(filename, mode='r', encoding=encoding) as f:
                    chunks.append(f.read())
        except UnicodeDecodeError:
            encoding = detect_encoding(filename)
            if decode:
                with open(filename, mode='r', encoding=encoding) as f:
                    chunks.append(unidecode(f.read()))
            else:
                with open(filename, mode='r', encoding=encoding) as f:
                    chunks.append(f.read())

    words, tok, sent = dir_tokenize(chunks, filenames, chunk_name=chunk_name,
                              paragraphs=paragraphs)
    names, data = zip(*tok.items())
    
    if corpus_sent:
        c = CorpusSent(words, sent, context_data=data, context_types=names,
			remove_empty=False)
    else:
        c = Corpus(words, context_data=data, context_types=names)
    
    in_place_stoplist(c, nltk_stop=nltk_stop, add_stop=add_stop, freq=stop_freq)

    return c
dataset/ETHPy150Open inpho/vsm/vsm/extensions/ldasentences.py/dir_corpus/original