Omorfi with moses
Omorfi as part of moses
Omorfi can be easily plugged into statistical machine translation system moses with semi-good results (no immediate BLEU increase or such, slight up in human evaluations).
Factored stuff
You can use omorfi as a factored model. The helper script located in src/python/omorfi-factorise.py
can produce output with four factors pulled from 1-best list of omorfi installation. The factors are:
- (surface)
- lemma
- Google universal pos
- full morphological analysis
- suffix morphs
Apart from suffix morph factor, the things are standard. If you follow factored tutorial
Segmenting as pre- or post-processing
You can use omorfi to turn moses baseline phrase-based model into a morph-phrase machine translation by simply pre-processing the Finnish data with the helper script src/python/omorfi-segment.sh
.