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A Pedagogical Model for Computational Linguistics across Curricular Boundaries
Author(s) -
Alm Cecilia Ovesdotter,
Womack Kathryn,
Haake Anne,
Engström Timothy
Publication year - 2016
Publication title -
language and linguistics compass
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 44
ISSN - 1749-818X
DOI - 10.1111/lnc3.12195
Subject(s) - theme (computing) , scholarship , curiosity , computer science , discipline , computational linguistics , applied linguistics , computational model , natural (archaeology) , mathematics education , linguistics , sociology , artificial intelligence , psychology , social science , political science , world wide web , social psychology , philosophy , archaeology , law , history
As techniques in computational linguistics become more widely used in scholarship and application in diverse fields, strategies for attracting students and practitioners to this area, for collaborating across disciplinary boundaries, as well as the pedagogical approaches to teaching it, will also shift. This pedagogical concept paper reports on an educational example providing a high‐level introduction of computational linguistics to students across curricular levels and disciplines. Specifically, it focuses on an interdisciplinary summer workshop in which the topic of computational natural language processing (NLP) was a key theme, illustrating the workshop's provision of exposure to computational linguistics for students in both technical and non‐technical majors. Including NLP modules as a major theme could bring together students from various backgrounds, encourage intellectual curiosity beyond their respective fields of study, and foster critical thinking about modeling practices and computational epistemologies. The interdisciplinary approach provided opportunities to reach out to emerging scholars and practitioners across fields, to expose them to NLP concepts, and to let them consider the benefits of considering natural language data in their own work or in future interdisciplinary collaborations.