141 lines
4.2 KiB
Python
141 lines
4.2 KiB
Python
# coding=utf-8
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# Copyright 2012 Matt Chaput. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice,
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# this list of conditions and the following disclaimer.
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#
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# 2. Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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#
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# THIS SOFTWARE IS PROVIDED BY MATT CHAPUT ``AS IS'' AND ANY EXPRESS OR
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# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
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# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
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# EVENT SHALL MATT CHAPUT OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
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# OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
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# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# The views and conclusions contained in the software and documentation are
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# those of the authors and should not be interpreted as representing official
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# policies, either expressed or implied, of Matt Chaput.
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# Exceptions
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class NoStemmer(Exception):
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pass
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class NoStopWords(Exception):
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pass
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# Data and functions for language names
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languages = ("ar", "da", "nl", "en", "fi", "fr", "de", "hu", "it", "no", "pt",
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"ro", "ru", "es", "sv", "tr")
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aliases = {
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# By ISO 639-1 three letter codes
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"ara": "ar",
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"dan": "da", "nld": "nl", "eng": "en", "fin": "fi", "fra": "fr",
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"deu": "de", "hun": "hu", "ita": "it", "nor": "no", "por": "pt",
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"ron": "ro", "rus": "ru", "spa": "es", "swe": "sv", "tur": "tr",
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# By name in English
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"arabic": "ar",
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"danish": "da",
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"dutch": "nl",
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"english": "en",
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"finnish": "fi",
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"french": "fr",
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"german": "de",
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"hungarian": "hu",
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"italian": "it",
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"norwegian": "no",
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"portuguese": "pt",
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"romanian": "ro",
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"russian": "ru",
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"spanish": "es",
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"swedish": "sv",
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"turkish": "tr",
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# By name in own language
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"العربية": "ar",
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"dansk": "da",
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"nederlands": "nl",
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"suomi": "fi",
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"français": "fr",
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"deutsch": "de",
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"magyar": "hu",
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"italiano": "it",
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"norsk": "no",
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"português": "pt",
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"русский язык": "ru",
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"español": "es",
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"svenska": "sv",
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"türkçe": "tr",
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}
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def two_letter_code(name):
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if name in languages:
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return name
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if name in aliases:
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return aliases[name]
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return None
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# Getter functions
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def has_stemmer(lang):
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try:
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return bool(stemmer_for_language(lang))
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except NoStemmer:
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return False
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def has_stopwords(lang):
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try:
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return bool(stopwords_for_language(lang))
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except NoStopWords:
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return False
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def stemmer_for_language(lang):
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if lang == "en_porter":
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# Original porter stemming algorithm is several times faster than the
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# more correct porter2 algorithm in snowball package
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from .porter import stem as porter_stem
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return porter_stem
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tlc = two_letter_code(lang)
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if tlc == "ar":
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from .isri import ISRIStemmer
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return ISRIStemmer().stem
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from .snowball import classes as snowball_classes
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if tlc in snowball_classes:
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return snowball_classes[tlc]().stem
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raise NoStemmer("No stemmer available for %r" % lang)
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def stopwords_for_language(lang):
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from .stopwords import stoplists
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tlc = two_letter_code(lang)
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if tlc in stoplists:
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return stoplists[tlc]
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raise NoStopWords("No stop-word list available for %r" % lang)
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