Callsigns detection and recognition

Author: Juraj Dedič

• This is the main readme explaining the directories
• All the main code directories should have their own README describing them more in detail

Directories

Description of the directories used for the Callsign detection and recognition.

Encoders/ link

• contains the callsign detection APIs based on SpaCy NER and SpanCat
• includes the trained models

Naive/ link

• Contains the naive callsign recognition (/ICAO conversion) system

NER/ link

• Contains the files needed to train the NER models
• Includes evaluation files
• Mostly notebooks

NER/data-conversion/ link

• Contains the conversion script
• The script is used to process the original .XML files
• Creating the train dataset

OpenAI/ link

• contains the script for performing callsign detection (/recognition (not written in the thesis) )
• also works as an API for eval script

Testers/ link

• contains the evaluation scripts for Span and ICAO tasks
• contains own dataset generator (converter)
• this converter combines the .XML, .CNET, .INFO into a single .JSON

Text/

• directory with the latex source code