Magahi/Transducer
From LING073
Code
- Code on GitHub ["https://github.swarthmore.edu/Ling073-sp21/ling073-mag"]
Evaluation
- Total number of stems in the transducer. You can use the following method, or count the stems manually.
-
lexd -x apertium-xyz.xyz.lexd > /dev/null
(then add the counts for the relevant individual lexicons)
-
- Current coverage over your combined corpus: 21 to 23%
- The current list of top unknown words returned by
aq-covtest
- Tests
- mag.yaml Total passes: 39, Total fails: 15, Total: 54
- commonwords.yaml Total passes: 4, Total fails: 11, Total: 15