Comments (2)
More info on this thread:
- if we reduce the ST data to 64 languages, we have a mutual coverage of 90, almost acceptable for lexstat, average coverage > 95%
- for ie, we remove 10 languages, and have mutual coverage of 161, average coverage > 95%
- for aa, we remove to 58 languages and have a coverage of 163, average coverage == 95%
AN is impossible, if we want average coverage == 95%, and 180 words per language, we end up with 2 languages only! The data must be wrong, or what we need to do is: we need to recombine all 4 AN datasets and just select those with >= 180 concepts, otherwise, it is useless to even use this data.
from autocogphylo.
I'll close this. The new statistics, given in data.md
lists mutual coverage and average concept coverage (mc is given as MMC = minimal mutual coverage, and AMC = average mutual coverag).
from autocogphylo.
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
- 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
- ASJP and DOLGO columns HOT 5
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from autocogphylo.