python split.py <wordInSLP1> [<dictname>]
e.g.
python split.py DavaleSvarapriya
or
python split.py DavaleSvarapriya MD
dictionaryname = ["ACC","CAE","AE","AP90","AP","BEN","BHS","BOP","BOR","BUR","CCS","GRA","GST","IEG","INM","KRM","MCI","MD","MW72","MW","MWE","PD","PE","PGN","PUI","PWG","PW","SCH","SHS","SKD","SNP","STC","VCP","VEI","WIL","YAT","ALL","mwb"]
Notes - ALL stands for all Cologne dictionaries combined. mwb stands for MW bricks i.e. key2 of MW separated by hyphen i.e. split headwords of MW.
['Davala+ISvara+priya', 'Dava+lA+ISvara+priya']
Only first 5 output are shown in decreasing probability by default.
If you want all results, replace print output[:5] line with print output.
As the speed decreases with too many headwords, currently we are using only 'MD' as our base dictionary. If you want to change the dictionary, it can be changed by altering the dictionaryname in createhwlist('MD')
Only words having >1 length are taken.
The dictionary (hwsorted.txt) is sorted in the following logic.
3.1. In decreasing order of the occurrence in number of dictionaries in sanhw2.txt. e.g. headword occurring in 29 dictionaries (and therefore more common) are sorted first, then 28, 27,..... 1.
3.2. In decreasing order of length of the words. Longest words are sorted first. Shortest ones at the end.
3.3. If the above two conditions are satisfied, they are sorted in alphabetic order.
Analyse Sanskrit headwords from Cologne dictionaries and separate the headwords which have compounds. See compoundstudy.py and compoundstudy/compoundhw.py