Difference between revisions of "Ideas for Google Summer of Code/Python library"
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(Created page with " ==Coding challenge== * Proof-of-concept SWIG API for lttoolbox, it should let you do the following: *# Create a transducer *# Make <tt>show()</tt> return a list of tuples (...") |
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Either of these provide meaningful signal. So pick one (or both)! |
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Working installation of [https://github.com/apertium/apertium-python apertium] via a <code>setup.py</code> file in a Windows environment. |
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'''Note:''' You have to parse and run the mode files with the binaries - you can't use the apertium Bash helper script. It can be done similar to [https://github.com/apertium/apertium-simpleton/blob/master/src/simpleton.cpp#L67 simpleton.cpp#L67] or [https://github.com/apertium/apertium-omegat-native/blob/master/src/com/tinodidriksen/omegat/apertiumnative/ApertiumNative.java#L210 ApertiumNative.java#L210] + [https://github.com/apertium/apertium-omegat-native/blob/master/src/com/tinodidriksen/omegat/apertiumnative/ApertiumNative.java#L64 ApertiumNative.java#L64] |
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==Coding challenge 2== |
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*# Create a transducer |
*# Create a transducer |
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*# Make <tt>show()</tt> return a list of tuples (in, out, in, out) |
*# Make <tt>show()</tt> return a list of tuples (in, out, in, out) |
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*# Perform morphological analysis using FSTProcessor |
*# Perform morphological analysis using FSTProcessor |
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* Improve the SWIG API with Python wrapper functions that let you do |
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*# <code>t = Transducer([(0,"a",1), (1,"b",2)], [2])</code> where <code>[2]</code> is the list of finals and 0 is the initial state |
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[[Category:Ideas for Google Summer of Code|Python library]] |
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Latest revision as of 21:12, 19 March 2019
Either of these provide meaningful signal. So pick one (or both)!
Coding challenge 1[edit]
Working installation of apertium via a setup.py file in a Windows environment.
Note: You have to parse and run the mode files with the binaries - you can't use the apertium Bash helper script. It can be done similar to simpleton.cpp#L67 or ApertiumNative.java#L210 + ApertiumNative.java#L64
Coding challenge 2[edit]
Develop a proof-of-concept SWIG API for lttoolbox, it should let you do of the following:
- Create a transducer
- Make show() return a list of tuples (in, out, in, out)
- Perform morphological analysis using FSTProcessor
- Improve the SWIG API with Python wrapper functions that let you do
t = Transducer([(0,"a",1), (1,"b",2)], [2])where[2]is the list of finals and 0 is the initial state
