Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages
Paper i proceeding, 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.

Författare

Shafqat Mumtaz Virk

Göteborgs universitet

Muhammad Azam Sheikh

Chalmers, Data- och informationsteknik, CSE Verksamhetsstöd, Data Science Research Engineers

Lars Borin

Göteborgs universitet

Muhammad Irfan Aslam

Högskolan i 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

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

Ämneskategorier

Språkteknologi (språkvetenskaplig databehandling)

Jämförande språkvetenskap och allmän lingvistik

Studier av enskilda språk

DOI

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

Mer information

Senast uppdaterat

2020-01-09