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Learning Language (with) Grammars: From Teaching Latin to Learning Domain-Specific Grammars


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Title: Learning Language (with) Grammars: From Teaching Latin to Learning Domain-Specific Grammars
Authors: Lange, Herbert
E-mail: herbert.lange@cse.gu.se
Issue Date: 25-Aug-2020
University: Göteborgs universitet. IT-fakulteten
Institution: Department of Computer Science and Engineering ; Institutionen för data- och informationsteknik
Parts of work: Paper 1: Herbert Lange: “Implementation of a Latin Grammar in Grammatical Framework”, Published in Proceedings of the 2 nd International Conference on Digital Access to Textual Cultural Heritage (DATeCH2017), Göttingen, Germany, 2017, DOI: 10.1145/3078081.3078108

Paper 2: Herbert Lange: “An Open-Source Computational Latin Grammar: Overview and Evaluation”, Submitted to Proceedings of the 20 th International Colloquium on Latin Linguistics (ICLL 2019), Las Palmas de Gran Canaria, 2019

Paper 3: Herbert Lange and Peter Ljunglöf: “MULLE: A Grammar-Based Latin Language Learning Tool to Supplement the Classroom Setting”, Published in Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA ’18), Melbourn. Australia, 2018, DOI: 10.18653/v1/W18-3715

Paper 4: Herbert Lange and Peter Ljunglöf: “Putting Control into Language Learning”, Published in Proceedings of the 6th International Workshop on Controlled Natural Languages (CNL 2018), Maynooth, Ireland, 2018, DOI: 10.3233/978-1-61499-904-1-61

Herbert Lange and Peter Ljunglöf: “Learning Domain-Specific Grammars From a Small Number of Examples”, Submitted to Special Issue: Natural Language Processing in Artificial Intelligence - NLPinAI 2020, in: Series “Studies in Computational Intelligence” (SCI), Springer
Date of Defence: 2020-09-16
Disputation: Onsdagen den 16 september 2020, kl. 10.00, Rum 8103, EDIT Building, Hörsalsvägen 11 och online http://www.cse.chalmers.se/~langeh/defense.html
Degree: Doctor of Philosophy
Publication type: Doctoral thesis
Series/Report no.: 185D
Keywords: Latin
Latin syntax
Latin morphology
Grammar engineering
Grammar testing
Corpus-based evaluation
Computer-assisted language learning
Grammar learning
Constraint satisfaction
Constraint optimization
Abstract: This thesis describes work in three areas: grammar engineering, computer-assisted language learning and grammar learning. These three parts are connected by the concept of a grammar-based language learning application. Two types of grammars are of concern. The first we call resource grammars, extensive descriptions a natural languages. Part I focuses on this kind of grammars. The other are domain-specific or application-specific grammars. These grammars only describe a fragment of natural lang... more
ISBN: 978-91-7833-987-7 (PDF)
978-91-7833-986-0 (Print)
URI: http://hdl.handle.net/2077/65453
Appears in Collections:Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
Doctoral Theses / Doktorsavhandlingar Institutionen för data- och informationsteknik

 

 

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