I’m proud to introduce macroetym, a command-line tool for macro-etymological textual analysis, which is now available for download with the Python package manager, pip. It’s a complete rewrite of The Macro-Etymological Analyzer, the web tool for macro-etymological analysis I wrote a few years ago, first described in this post, and presented at DH2014. It can now analyze any number of texts, and texts in 250 languages. Here are a few examples of the program in action:
$ macroetym wells-time-machine.txt woolf-mrs-dalloway.txt wells-time-machine.txt woolf-mrs-dalloway.txt Austronesian 0.045788 0.021177 Celtic 0.068681 0.047649 Germanic 40.885226 40.334075 Hellenic 0.840965 1.080051 Indo-Iranian 0.015263 0.153537 Latinate 57.724359 57.722893 Other 0.137363 0.333545 Semitic 0.282357 0.243541 Turkic 0.000000 0.031766 Uralic 0.000000 0.031766
$ macroetym woolf-mrs-dalloway.txt --allstats woolf-mrs-dalloway.txt Anglo-Norman 7.23 Angloromani 0.03 Arabic 0.06 Aragonese 0.06 Dutch 0.29 Dutch, Middle (ca. 1050-1350) 0.27 English, Old (ca. 450-1100) 36.56 French 7.81 French, Middle (ca. 1400-1600) 3.96 French, Old (842-ca. 1400) 21.58 German 0.06 German, Middle Low 0.12 ... etc.
$ macroetym paradise-lost-books/* --showfamilies Latinate bk/book01.txt bk/book02.txt bk/book03.txt bk/book04.txt Latinate 52.622816 56.005313 52.644493 50.522588 bk/book05.txt bk/book06.txt bk/book07.txt bk/book08.txt Latinate 55.929858 56.608863 51.46886 54.492665 bk/book09.txt bk/book10.txt bk/book11.txt bk/book12.txt Latinate 53.625632 54.745275 50.982633 52.195609
macroetym paradise-lost-books/* --csv > pl-books.csv
macroetym madame-bovary.txt --lang=fra
Install macroetym using pip3:
pip3 install macroetym
Alternatively, grab the source code on GitHub and install locally:
git clone https://github.com/JonathanReeve/macro-etym cd macro-etym pip3 install .
Macroetym is free and open-source software! There are a number of open issues with the program that need addressing. If you know a bit of python, feel free to hack around on the code as you see fit. Pull requests are very welcome. Non-code contributions are also welcome in the form of bug reports, documentation, or experiments in text analysis that use the program.