Guarani and Warlpiri/Structural transfer
From LING073
Contents
Pre-Evaluation
gug → wbp
Results when running on gug.sentences.txt:
- Word error rate (WER): 113.79 %
- Position-independent word error rate (PER): 113.79 %
wbp → gug
Structural Transfer Rule
gug → wbp
- Sample sentence: mitã okaru → kurdu ka ngarni
- tagger: ^mitã<n><sg><subj>$ ^karu<v><tv><ar><pres><p3><sp>$^.<sent>$
- biltrans: ^mitã<n><sg><subj>/kurdu<n><sg><subj>$ ^karu<v><tv><ar><pres><p3><sp>/ngarni<v><tv><ar><pres><p3><sp>$^.<sent>/.<sent>$
- chunker:
- apertium-transfer: Rule 2 mitã<n><sg><subj>/kurdu<n><sg><subj>
- apertium-transfer: Rule 3 karu<v><tv><ar><pres><p3><sp>/ngarni<v><tv><ar><pres><p3><sp>
- apertium-transfer: Rule 1 .<sent>/.<sent> ^n<SN><sg><subj>{^kurdu<n><2>$}$ ^vaux<Saux><SubjTBD>{^ka<vaux><pres><2>$}$ ^v<SV>{^ngarni<v><tv><pres>$}$^sent<SENT>{^.<sent>$}$
- postchunk: ^kurdu<n><sg>$ ^ka<vaux><pres><subj3sg>$ ^ngarni<v><tv><pres>$^.<sent>$
- gug-wbp: #kurdu #ka #ngarni# (there is a lingering issue in my generator)
wbp → gug
- add ar, air, chen tags to dix
- do reverse of previous steps
Post-Evaluation
gug → wbp
Results when running on gug.sentences.txt:
- Word error rate (WER): 115.52 %
- Position-independent word error rate (PER): 115.52 %
