Comments (5)
You'll see, what's interesting: turchin is now better than edit distance!
from autocogphylo.
yes, will fix it asap, no deal, but need to recompute turchin distances, as they use the dolgo-information!
from autocogphylo.
Wow. . I pulled the data. Running OnlinePMI. I will update the results.
from autocogphylo.
You know that I use fixed thresholds now, based on the training in our PLOS paper. You should consider doing something similar, as I am convinced online-pmi will perform much better if you tweak the threshold according to some training data.
from autocogphylo.
In fact, we should not forget to look into the sound class issue, you know? Given how much of a difference it makes for the Turchin-method, I am quite sure that it will make similar differences for the other methods as well (even simply testing our three sound class models against a couple of datasets for different methods including one that uses all params, might be useful).
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Related Issues (13)
- LexStat HOT 11
- adjust pmi score creation to regular wordlist output HOT 12
- Nexus: taxa and format HOT 5
- Number of clusters and number of characters in nexus files HOT 2
- Language names to glottocodes omitted languages. HOT 2
- Turchin HOT 11
- Pama-Nyungan HOT 11
- Mutual coverage reports HOT 2
- Sino-Tibetan data contains many errors and needs to be replaced HOT 1
- selection of subsets based on coverage HOT 32
- reference trees HOT 9
- improper segmentation in aa data HOT 1
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