Difference between revisions of "Magahi/Transducer"
From LING073
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* Total number of stems in the transducer. You can use the following method, or count the stems manually. | * Total number of stems in the transducer. You can use the following method, or count the stems manually. | ||
*: <code>lexd -x apertium-xyz.xyz.lexd > /dev/null</code> (then add the counts for the relevant individual lexicons) | *: <code>lexd -x apertium-xyz.xyz.lexd > /dev/null</code> (then add the counts for the relevant individual lexicons) | ||
| − | * Current coverage over your combined corpus | + | * Current coverage over your combined corpus 21 to 23% |
* The current list of top unknown words returned by <code>aq-covtest</code> | * The current list of top unknown words returned by <code>aq-covtest</code> | ||
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** <b>mag.yaml</b> Total passes: 39, Total fails: 15, Total: 54 | ** <b>mag.yaml</b> Total passes: 39, Total fails: 15, Total: 54 | ||
** <b>commonwords.yaml</b> Total passes: 4, Total fails: 11, Total: 15 | ** <b>commonwords.yaml</b> Total passes: 4, Total fails: 11, Total: 15 | ||
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= Notes = | = Notes = | ||
Revision as of 17:08, 14 March 2021
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
