General information
Course type | AMUPIE |
Module title | Constructive Adpositional Grammars |
Language | English |
Module lecturer | dr inż. Marcin Jukiewicz; prof. Federico Gobbo |
Lecturer's email | mj19648@amu.edu.pl |
Lecturer position | assistant professor, professor |
Faculty | Faculty of Psychology and Cognitive Science |
Semester | 2024/2025 (winter) |
Duration | 60 |
ECTS | 8 |
USOS code | 23RCSPWS.2100000KU.15977.24 |
Timetable
Module aim (aims)
The course aims to introduce a constructive linguistics approach from scratch. In particular, what is covered is the cognitive and use-based fundaments of the adpositional paradigm in approaching language at any meaningful level, i.e., from morphosyntax to semantics and pragmatics, up to applications in communication. After the theoretical part, a case study of an argumentative text will be fully explained through practical exercises. Students passing the class will be able to draw and use adpositional trees on their own, augmenting their metalinguistic awareness. In particular, adpositional trees can be used for language learning purposes, cross-linguistic comparison, and indepth textual analysis, in particular pragmatic and argumentative aspects.
Pre-requisites in terms of knowledge, skills and social competences (where relevant)
Syllabus
- Fundamentals of Constructive Linguistics and the adpositional paradigm
- Linguistic constructions and how they work
- Grammar characters and transformations
- From abstract to linguistic adpositional trees
- Levels of abstraction in adpositional trees: morphosyntax and semantics
- Levels of abstraction in adpositional trees: pragmatics (informative and argumentative)
Reading list
- Gobbo, Federico & Benini, Marco (2011). Constructive Adpositional Grammars: Foundations of Constructive Linguistics. Newcastle upon Tyne: Cambridge Scholars Publishing
- Gobbo, Federico & Benini, Marco (2013). Dependency and Valency: From Structural Syntax to Constructive Adpositional Grammars. Frontiers in Artificial Intelligence and Applications. Volume 258: Computational Dependency Theory.
- Gobbo, Federico & Benini, Marco & Wagemans, Jean H. M. (2019). Annotation with adpositional argumentation. Guidelines for building a Gold Standard Corpus of argumentative discourse. Intelligenza Artificiale. DOI: 10.3233/IA-190028.
- Gobbo, Federico & Benini, Marco & Wagemans, Jean H. M. (2022). Complex Arguments in Adpositional Argumentation. CEUR Workshop Proceedings. 2022; Vol 3086. AI^3 2021. Advances in Argumentation in Artificial Intelligence.
- Gobbo, Federico & Benini, Marco & Wagemans, Jean H. M. (2022). More than Relata Refero: Representing the Various Roles of Reported Speech in Argumentative Discourse. Languages. 2022; 7(1):59.