Structural Analysis of Language for Cognitive Modelling

Faculteit Science and Engineering
Jaar 2021/22
Vakcode WBAI052-05
Vaknaam Structural Analysis of Language for Cognitive Modelling
Niveau(s) bachelor
Voertaal Engels
Periode semester I a
ECTS 5
Rooster rooster.rug.nl

Uitgebreide vaknaam Structural Analysis of Language for Cognitive Modelling
Leerdoelen At the end of the course, the student is able to:
1) analyse sentences and sentence fragments from English and other languages, that include complex syntactic structures, to generate well-formed analyses in the Lexical Functional Grammar (LFG) theoretical framework.
2) apply appropriate syntactic and semantic tests to determine word class, valency, grammatical function, and dependency relationships including those applying between clauses.
3) differentiate between well-formed and ungrammatical sentences, and between different ambiguous readings of a sentence, explaining in terms of LFG how the ungrammaticality or ambiguity arises.
4) propose an LFG mini-grammar (phrase structure rules and lexical entries) for a fragment of a language other than English, to include complex syntax.
5) argue convincingly why their proposed analyses are correct, using evidence from tests and considering alternative explanations.
Omschrijving This course is aimed at students who are interested in cognitively modelling human sentence processing, or who wish to explore language structure in more depth. During the course, students will be introduced to the relationship between theories of grammar and models of human syntactic processing, and will use data from a range of languages to gain skills in analysing languages structure in ways that can support cognitive models of processing.

The course uses Lexical Functional Grammar (LFG), an established computationally robust constraint-based linguistic theory. After gaining competence with the core analytical tools of LFG, students will work in more detail on more complex phenomena (unbounded dependencies, control, anaphoric binding) that are often the subject of psycholinguistic experiments. Students can also carry out introductory study of LFG treatments of prosody, semantics, and information structure.

Students are asked to choose a language that they know, other than English, which they will use as the basis for analyses in assignments alongside the material in English and other languages provided in the course. Students who only know English are asked to discuss this with the course coordinator in advance.

The course is assessed using the Specifications Grading method (Nilson, 2014). Each assignment that is completed to a satisfactory standard contributes to the final grade. The standard for each assignment is clearly set out in the rubric, and where an assignment is not completed satisfactorily, students may revise and resubmit. There is no limit on the number of times a particular assignment can be resubmitted, but there is a cap on the number of pieces of work that can be submitted each week.
Uren per week
Onderwijsvorm Hoorcollege (LC), Opdracht (ASM), Werkcollege (T)
Toetsvorm Opdracht (AST)
(To pass, students must satisfactorily complete at least 7 core assignments, submitted consistently. Higher grades are earned by completing assignments that cover extension and advanced topics. Assignments are graded either pass or revise/resubmit, with qualitative feedback. An assignment may be resubmitted multiple times, but the number of submissions by a student in any given week is capped.)
Vaksoort bachelor
Coördinator PhD. S.M. Jones
Docent(en) PhD. S.M. Jones
Verplichte literatuur
Titel Auteur ISBN Prijs
Lexical-Functional Grammar: An introduction. Cambridge University Press. 1 2019 Börjars, K., Nordlinger, R. and Sadler, L.
Entreevoorwaarden Mandatory: General Linguistics (WBAI022-05)
Opmerkingen This course is a strongly recommended preparation for the MSc course Models of Human-Syntax Processing (WMCC014-05).

This course is a replacement of the course Constraint-based Grammatical Analysis (WBAI047-05).
Opgenomen in
Opleiding Jaar Periode Type
BSc Artificial Intelligence  (Keuzevakken) 3 semester I a keuze