Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language
This addresses error correction in digital bilingual dictionaries for lexicographers and computational linguists, but it appears incremental as it builds on existing structured data manipulation approaches.
The paper tackles the problem of correcting errors in digital lexicographic resources by introducing a Dictionary Manipulation Language (DML) that combines manual and automatic error correction, resulting in a method to produce corrected lexicons through simple commands applied to source data.
We describe a paradigm for combining manual and automatic error correction of noisy structured lexicographic data. Modifications to the structure and underlying text of the lexicographic data are expressed in a simple, interpreted programming language. Dictionary Manipulation Language (DML) commands identify nodes by unique identifiers, and manipulations are performed using simple commands such as create, move, set text, etc. Corrected lexicons are produced by applying sequences of DML commands to the source version of the lexicon. DML commands can be written manually to repair one-off errors or generated automatically to correct recurring problems. We discuss advantages of the paradigm for the task of editing digital bilingual dictionaries.