Contains the tool for viewing valency frames and adding user-defined senses to underlying sentences.
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2019-03-14 08:30:33 +01:00
data corpusparser finished python dict representation; TODO .json and DB 2019-03-13 08:59:27 +01:00
dockerfiles working on parser 2019-03-10 22:11:18 +01:00
src todo: implement parser output separately 2019-03-14 08:30:33 +01:00
src_diploma old files from diploma's poc 2019-03-07 09:00:01 +01:00
.gitignore fixed the weird bug (defined a list instead of dict... should have gone to sleep yesterday) 2019-03-11 09:26:49 +01:00
Makefile todo: implement parser output separately 2019-03-14 08:30:33 +01:00
README.md bug: matching srl_json files with kres_xml files 2019-03-11 00:17:43 +01:00

cjvt-valency

Components

Database (2 containers)

Input:

  • ssj500k.xml
  • kres.xml
  • kres_SRL.json

Intermediate:

  • ssj500k.json HERE HERE
  • kres.json

Output:

  • DB containing both corpora (1:1 map of the intermediate json formats)

Flask backend (1 container)

Input: see Database

API endpoints:

  • GET word list (pre-cached)
  • GET reduced frames (pre-cached)
  • POST senses
  • User auth logic

Vue frontend (1 container)

  • ngnix server

Deployment

Preflight:

  • get up DB
  • prepare DB

Flight:

  • start backend
  • start frontend