Unified Data Modelling for Presenting Lexical Data: the Case of EKILEX
published: July 27, 2018, recorded: July 2018, views: 488
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
The Institute of the Estonian Language is developing EKILEX, a new dictionary writing system for both semasiological dictionaries and onomasiological termbases. While the long-term vision is to have a single data source that provides consistent information about Estonian, the system also needs to cope with the multitude of existing datasets. In this paper, we present work in progress on modelling the data and importing an initial sample of legacy dictionaries. The data model is based on an m:n relation between words and meanings, which are both unified across dictionaries, even while there still are separate dictionaries in the system. What is dictionary-specific is only the mapping between word and meaning. The importing of dictionaries has revealed various issues with data quality: ambiguities, underspecification, inconsistencies and conflicts. These need to be dealt with, if the long-term vision is to be achieved. We also outline the next steps of human- and machine-readable publishing, corpus connection and quantification (frequency, salience measures, etc.).
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !