LapDevelopment_Status - delph-in/docs GitHub Wiki

House Cleaning

  • add Language Identification and expose NNO in OBT (and maybe other languages in GT)

  • OBT debugging

  • activate custom data types [all]

  • make ‘Help’ menu entries point to LAP documentation [milen]

  • ‘Workflow Instructions’ give NELS error

  • activate nativeSpecification and per-tool job resource defaults (more memory and cores for B&N)

  • where are the job resources when running a workflow?

  • expose nynorsk in OBT

  • TSV export fails when requesting non-existing annotations

  • do a little more testing

  • move production instance into trial mode

  • update user documentation: in-galaxy bug report, emphasize valid input formats, don't look at receipts

  • standardize option names (e.g. ‘--sentence’, ‘--token’, and such; following annotation types); provide sensible defaults in all tools

  • review and harmonize ‘==process’ (and tool) naming in GT and OBT stacks;

  • review annotation structures and ‘finalize’ (for now)

  • harmonize tokenization styles (Unicode) and tagging and parsing models

History and LAP Store Cleaning

Authentication

  • simplesaml metadata (for Feide)

  • edugain: CoCo

  • CLARIN SPF

milen & nikolay on the technical side; oe (with input from francesca) driving the legal side

for the time being, standardize on mail attribute, since Galaxy requires user ids to be valid email addresses.

once we have the production service working, look into more sophisticated IdP discovery, e.g. discojuice or discopower.

Certification

  • enroll in Type A Service trial

Visualization

  • in-browser rendering of tagged and parsed text, using brat
  • use of metadata, e.g. language, specific types of annotations (e.g. PoS set)

DELPH-IN Integration

Collaboration with DSS

Tool Integration

  • constituent structure parsing
  • semantic dependency parsing
  • language identification
  • lemmatization
  • classification

Data Import, Collections, and Parallelization

  • protect against import of obviously illformed data (?)
  • import archive (of document collection)
  • ‘chunking’: break up processing (e.g. set of sentences) internally and paralleize
  • tool to iterate through the datasets in a collection and parallelize
  • import structured data, e.g. sentence-segmented, tokenized, tagged, or class label–bearing

Explicit Modeling of Annotation and Tool Ontology

  • data types and metadata

Clean Re-Installation Procedure

Interoperability with Other CLARINO Centers

LAP Library in Java

Get a Life after ABEL