Towards Automatic Linking of Lexicographic Data: the case of a Historical and a Modern Danish Dictionary

Page 63-72
Author Sina Ahmadi, Sanni Nimb, John P. McCrae, Nicolai H. Sørensen
Title Towards Automatic Linking of Lexicographic Data: the case of a Historical and a Modern Danish Dictionary
Abstract Given the diversity of lexical-semantic resources, particularly dictionaries, integrating such resources by aligning various types of information is an important task, both in e-lexicography and natural language processing. The current study aims at analyzing the automatic alignment of word senses of the same lemmas across two comprehensive monolingual Danish dictionaries, the historic Ordbog over det danske Sprog and the modern Den Danske Ordbog. We report our efforts in creating a gold-standard dataset and show that semantic similarity measures can be efficiently used to create statistical models to automatically align senses across dictionaries.
Session Lexicography and Language Technologies
Keywords semantic similarity detection; dictionary linking; natural language processing; e-lexicography
BibTex 
@inproceedings{ELX2020_2021-006,
address = {Alexandroupolis},
title = {Towards {Automatic} {Linking} of {Lexicographic} {Data}: the case of a {Historical} and a {Modern} {Danish} {Dictionary}},
isbn = {978-618-85138-1-5},
url = {https://www.euralex.org/elx_proceedings/Euralex2020-2021/EURALEX2020-2021_Vol1-p063-072.pdf},
language = {en},
booktitle = {Lexicography for {Inclusion}: {Proceedings} of the 19th {EURALEX} {International} {Congress}, 7-9 {September} 2021, {Alexandroupolis}, {Vol}. 1},
publisher = {Democritus University of Thrace},
author = {Ahmadi, Sina and Nimb, Sanni and McCrae, John P. and Sørensen, Nicolai H.},
editor = {Gavriilidou, Zoe and Mitsiaki, Maria and Fliatouras, Asimakis},
year = {2020},
pages = {63--72},}
Download