Comments (4)
@assem-ch , It will be much work for one man. I see many separate reports for different words, it is not practical to follow each manually. Stemmer is never be 100% perfect as manual learned method by human.
- Better to switch to coverage based tests, using manually processed data. At least using word root/derivatives without attached pronouns & conjunctions which may be already available in the web with free use license. (Ex. harfbuzz coverage testing was done on Wikipedia data rendered in multiple browsers. https://github.com/harfbuzz/harfbuzz-testing-wikipedia). Possibly, I can implement them if you could find for me some data-sets on the web, I can use/crap them.
- We merge all reports about specific words in one or multiple reports (each report for one algorithms and one version). I can help in this, just write short, debugging/reporting instructions in readme file. like reporting release number and how can user know which algorithm is used.
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Btw, not all release packages have mentioned version.
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@assem-ch If you think the Arabic stemmer is too worthy for Alfanous & too many Arabic project that I put considerable time in it.
I will see If I go with separate project for stop-word list and derivatives list build by crowd-sourced verification to get high quality test data for the stemmer. Because, I see few arabic stop-words list and basically few persons efforts.
All depend on the way how to reach the interested/effective Arab community.
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@sneetsher there is already a project for testing data https://github.com/ibnmalik/golden-corpus-arabic, it can be exposed with the stemmer to get new suggests from users.
This is my phd project and I should really focus on it... I will work on a demo/review web app for it to welcome feedback and improve the visibility.
For alfanous its not too worthy, but it fix a gap for stemming words that dont exist in quran exactly but in other forms
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Related Issues (20)
- optimize algorthim
- Filter for stop words in the website
- Make a script to automate jssnowball generation of snowball.babel.js when the stemmer is changed
- Add Unit testing HOT 1
- "Stemming algorithm 'arabic' not found" in python! HOT 2
- Stemming "فاطفالهم" HOT 3
- Expose implement language rules
- Interactive feedback system to add counterexamples or missing rules
- Interactive visualization for the algorithm phases as automate
- The root-based stemmer should be an extra of the first stemmer
- Demos for different usages of stemming
- separate the phases of text processing
- List of bad words to be filtered
- الحي HOT 1
- المهيمن HOT 1
- Arabic light stemming
- C++ Stemming example
- Adding JS bundle to npm HOT 5
- Makefile
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