Comments (3)
Note: there are a few dozen characters that would trigger the following issue:
- Baxter & Sagart's OCNR providing multiple readings for what is rendered as a single MC reading
Example:
- 沈 chén, sink [v.t.]; MC drim < OCNR *C.[d]r[ә]m
- 沈 chén, sink [v.i.]; MC drim < OCNR *[d]r[ә]m
Such occurrences ought to pop up predominantly in initial/preinitial positions.
For OC implementation, I'd have to disambiguate manually.
from jdsw.
It's fascinating that these types of subtle changes nearly always seem to have a syntactic or semantic correlate (the transitivity of the verb, here, which took me second to notice!)
Is it worth going through OCNR and pulling out all of these quasi-"minimal pairs" to see if we can come up with a rule? The reason I ask is because the annotation process, for everything that we annotate (phonology included) is I assume going to be "automated first with manual later", and so if we do that process for POS first, we can then use the POS information to make "smarter" initial predictions for the phonology.
I'm actually not sure how transitivity is represented in CoNLL-U (maybe that's the dependency parse?), so really these would both be VERB
in the POS category anyway, but just thinking further about this. It'd at least help for the cases of polyphones in middle chinese where the POS (verb vs noun) actually can disambiguate further.
from jdsw.
I should have spelled the difference between transitive vs. intransitive out fully; my apologies!
As to your question -- not sure if it's worth it? Maybe? We should discuss the whole process in more detail.
Overall, I'd be tempted to keep the "simple" LDM-model clear of those assumptions (I don't think our friend in the 6th century cared for the difference between intransitive vs. transitive, as both were read the same and meant [largely] the same to him). Instead, we might potentially run into the issue of circular logic (as we'd take Baxter and Sagart's assumptions and built the entire model based on that).
We could, however, include the transitive vs. intransitive distinction in a full-on OCNR model; not sure where to put that in CoNLL-U either, though. UD-Kanbun does not distinguish between that, I think; implicitly, the dependency parse would provide that information (VERB
followed by dependent NOUN
is transitive; VERB
without that is intransitive). We could as a consequence test how much better the OCNR model would do than the LDM-model (as in: does linguistics help us understand what's going on better than LDM's notes on 音義?)
from jdsw.
Related Issues (20)
- update README
- implement pipeline pattern for data transformations HOT 1
- generate CoNLL-U base versions of all texts
- add logging HOT 1
- fix missing pages in SBCK edition of the JDSW
- add visualization HOT 1
- run topic modeling algorithm on annotations HOT 1
- parse annotations using a model HOT 2
- restructure as spaCy project
- find named entities in annotations HOT 2
- use SuPaR-Kanbun as the base model
- check to see whether NER patterns occur in annotation corpus HOT 1
- rearrange POS tags in priority order HOT 1
- train a span categorizer on jeff & hantao's data HOT 2
- add a streamlit interface for testing named entity predictions HOT 1
- add a streamlit interface for testing span categorization
- Add project task to export annotations
- Separate relation and span annotation
- Detect and label restatements of the headword HOT 1
- Add an algorithm for inferring relations between spans HOT 1
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