Yes, the Java version is the fastest, 4 to 5 times faster than the C+ +
version for texts larger than a few hundred words.
The reason is that it is using Java bytecode for the transfer part. That
part is like 25 times faster. But rest is 2 times slower as its running
purely in Java and the Java code hasn't been fully optimized for speed.
A hybrid with java bytecode and the rest in C++ would run perhaps 10-15
times faster than the current C++ version
Sendt fra min Android
Den 13/02/2012 16.44 skrev "Kevin Brubeck Unhammer" <[email protected]>:
> Francis Tyers <[email protected]> writes:
>
> > El dl 13 de 02 de 2012 a les 10:21 -0500, en/na Hector va escriure:
> >> Hi,
> >> going through the wiki I noticed this entry on a VM for transfer:
> >>
> >> http://wiki.apertium.org/wiki/VM_for_transfer
> >>
> >> and these implementations:
> >>
> >> https://github.com/ggm/vm-for-transfer (Python)
> >> https://github.com/ggm/vm-for-transfer-cpp (C++)
> >>
> >> Now I have some questions about it: are these fully functional?
> >
> > They are fully functional.
> >
> >> are
> >> the Python and C++ implementations equivalent? how much faster is the
> >> VM approach compared to using apertium-{transfer, interchunk,
> >> postchunk}? Is the plan to have the Apertium pipeline use this VM
> >> approach instead?
> >
> > The C++ version is about 4-5 times slower than the normal transfer :(
>
> http://wiki.apertium.org/wiki/Bytecode_for_transfer OTOH is 4-5 faster
> than normal transfer, although startup speed is slower. If transfer is a
> bottleneck, it should be very useful for e.g. tagging big corpora, or
> running a server.
>
> --
> Kevin Brubeck Unhammer
>
>
>
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