Closed GoogleCodeExporter closed 9 years ago
Pasted results with wrong testfile for r26.
This is what it was:
./bin/morfette eval data/fr/ftb_1.pos.utf8.morpheteready
data/fr/ftb_2.pos.utf8.morpheteready
data/fr/ftb_2.pos.utf8.morpheteready.predict.2
Token accuracy all:
Lemma acc: 97.57% (34209 / 35062)
POS acc: 97.87% (34316 / 35062)
Joint acc: 96.18% (33722 / 35062)
Token accuracy seen:
Lemma acc: 97.92% (32449 / 33139)
POS acc: 98.25% (32560 / 33139)
Joint acc: 96.76% (32066 / 33139)
Token accuracy unseen:
Lemma acc: 91.52% (1760 / 1923)
POS acc: 91.32% (1756 / 1923)
Joint acc: 86.12% (1656 / 1923)
Original comment by pitekus
on 1 Feb 2010 at 12:13
Removing dictionary filtering seems to have done it:
gchrupala@cl6lx:~/experiments/morfette/tmp/morfette-0.3> ./bin/morfette eval
ftb_1.pos.utf8.morpheteready ftb_2.pos.utf8.morpheteready
ftb_2.pos.utf8.morpheteready.predict
Unseen word ratio: 5.48
Token accuracy all:
Lemma acc: 97.80% (34291 / 35062)
POS acc: 97.96% (34345 / 35062)
Joint acc: 96.47% (33826 / 35062)
Token accuracy seen:
Lemma acc: 98.14% (32522 / 33139)
POS acc: 98.31% (32580 / 33139)
Joint acc: 97.03% (32154 / 33139)
Token accuracy unseen:
Lemma acc: 91.99% (1769 / 1923)
POS acc: 91.78% (1765 / 1923)
Joint acc: 86.95% (1672 / 1923)
Original comment by pitekus
on 1 Feb 2010 at 12:37
Original issue reported on code.google.com by
pitekus
on 31 Jan 2010 at 11:56