Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages
Paper in proceedings, 2019

We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing. The current proof-of-concept system covers a few selected linguistic features, but the methodology is general and can be extended not only to other typological features but also to descriptive grammars written in languages other than English. Such a system is expected to be a useful assistance for automatic curation of typological databases which otherwise are built manually, a very labor and time consuming as well as cognitively taxing enterprise.

Author

Shafqat Mumtaz Virk

University of Gothenburg

Muhammad Azam Sheikh

Chalmers, Computer Science and Engineering (Chalmers), CSE Verksamhetsstöd, Data Science Research Engineers

Lars Borin

University of Gothenburg

Muhammad Irfan Aslam

University of Skövde

Saania Iqbal

GIFT University

Nazia Khurram

GIFT University

International Conference Recent Advances in Natural Language Processing, RANLP

13138502 (ISSN)

Vol. 2019-September 1247-1256
978-954452055-7 (ISBN)

12th International Conference on Recent Advances in Natural Language Processing, RANLP 2019
Varna, Bulgaria,

Subject Categories

Language Technology (Computational Linguistics)

General Language Studies and Linguistics

Specific Languages

DOI

10.26615/978-954-452-056-4_143

More information

Latest update

1/9/2020 3