rsennrich / smorlemma Goto Github PK
View Code? Open in Web Editor NEWSMOR (Stuttgart Morphology) with alternative lemmatization component
License: GNU General Public License v2.0
SMOR (Stuttgart Morphology) with alternative lemmatization component
License: GNU General Public License v2.0
Hi,
I am trying to compile a new SMOR analyzer with the current Wiktionary. However, despite following the instructions (i.e. getting all the dependencies, generating XML output from Zmorge etc) I am getting this error:
ulimit -d 50000000; sfst/fst-compiler-utf8-epsilonfilter morph-lemma.fst morph-lemma.a
morph-lemma.fst: 8
symbols.fst: 80
morph-lemma.fst: 10
reading transducer from morph2.a...finished
morph-lemma.fst: 47
Allocation of memory failed in Mem::add_buffer!
Makefile:47: recipe for target 'morph-lemma.a' failed
make: *** [morph-lemma.a] Error 1
when i adjust ulimit to less than 50GB i am simply hitting the memory problem earlier and i don't have access to instances wit more memory than that. What am i doing wrong? I am using Ubuntu 18.04 and I installed all the dependencies using apt-get.
The wiki-lexicon.xml that i get out of current Wiktionary is about 18MB (in case the problem lies further upstream - e.g. perhaps something compiled incorrectly?). Any help would be very appreciated.
Hi, is there a tagset mapping from SMOR to the "Interset" tagset?
https://metacpan.org/source/ZEMAN/Lingua-Interset-2.025/lib/Lingua/Interset/Tagset/DE
http://universaldependencies.github.io/docs/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.