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stem_model m_a #4
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decline_file programThe decline_file program generates declensions based upon the model and stem (first two fields) of The format of the output files generated by decline_file is a sequence of lines, each with 3 tab-delimited
format of declension tableThe declension table is represented as a string with 24
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example of declension tableFor the line It is easier to compare the declension table when it is formatted as a table:
This agrees with Deshpande, p. 35. |
Declension of rAmaThe declension of rAma with model m_a is:
This agrees with Kale, Section 61, p. 35 |
decline_checks.txtThis file shows declension tables checked against various sources, such as the two shown above. If others find the need, I could develop a web application to show these declensions with choice of |
If our readers are bots - it will work best. |
https://github.com/sanskrit-coders/indic_transliteration python package seems to support transliteration to and from SLP1 very well. So let us use it, if possible. So that custom transliteration code can be kept to bare minimum. |
Exactly. Not even @SergeA can read it well, what to speak of other humans... |
Are you suggesting that all the inputs/outputs that I'm creating should be duplicated, so that there are |
re the indic_transliteration package. Does this package support accents? |
No. Internals can remain SLP1. Just suggesting the repository so that you can generate output to be displayed to examiner in different encodings of his choice or can take input in different encodings. |
I guess no. Any specific requirements for accents @funderburkjim ? |
Right. |
masculine nouns ending in 'a'
We derive this list from the lexnorm-all2 list by the simple filter
a) key1 ends in short vowel 'a'
b) lexnorm is precisely 'm'.
This excludes many adjectives and other nominals ending in 'a', since these will have more complex normalized lexnorm values, such as 'm:f:n', 'm:f#ikA':n'.
There are 49344 of these simple masculine nouns in 'a'. Their information is put into file:
inputs/nominals/m_a.txt. For example, the two inputs from lexnorm-all2 are merged into one
input in m_a.txt:
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