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        "author": "Lu\u00eds Gomes",
        "author_email": "luismsgomes@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
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        "description": "=======\n spsim\n=======\n\n``spsim`` is a Python 3 module that implements a spelling similarity measure\nfor identifying cognates across languages, taking into account spelling\ndifferences that are characteristic of each language pair, as described\nin [Gomes2011]_.\n\nNote: in the examples below, `$` denotes the Bash prompt and a Linux, MacOs or similar \\*nix environment is assumed.\n\nInstall as usual::\n\n    $ pip3 install spsim\n\nExample command line usage::\n\n    $ # first let's get some pairs of words that may be cognates:\n    $ wget http://research.variancia.com/spsim/maybe_enpt.txt\n    $ cat maybe_enpt.txt\n    pharmacy    farm\u00e1cia\n    arithmetic  aritm\u00e9tica\n\n    $ # If we don't give any example cognates, SpSim will be equivalent to\n    $ #             1 - edit_distance / max_len_of_strings\n    $ # Note that by default spsim matches accentuated characters, i.e. a == \u00e1\n    $ echo \"\" > empty.txt\n    $ spsim empty.txt maybe_enpt.txt\n    pharmacy    farm\u00e1cia    0.5\n    arithmetic  aritm\u00e9tica  0.8\n\n    $ now let's get some example cognates:\n    $ wget http://research.variancia.com/spsim/examples_enpt.txt\n    $ cat examples_enpt.txt\n    alcohol     \u00e1lcool\n    alpha       alfa\n    anomaly     anomalia\n    mathematics matem\u00e1tica\n    methodology metodologia\n    metric      m\u00e9trica\n    morphine    morfina\n    photos      fotos\n\n    $ # by giving these examples to spsim, it will learn to ignore certain differences:\n    $ spsim examples_enpt.txt maybe_enpt.txt\n    pharmacy    farm\u00e1cia    1.0\n    arithmetic  aritm\u00e9tica  1.0\n\n\n.. [Gomes2011] Measuring Spelling Similarity for Cognate Identification,\n    Lu\u00eds Gomes and Gabriel Pereira Lopes\n    in *Progress in Artificial Intelligence, 15th Portuguese Conference in\n    Artificial Intelligence, EPIA 2011, Lisboa, Portugal, October 2011*,\n    http://www.springerlink.com/content/gtl56j3l06906020/\n\n\n\n",
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