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Corpus Linguistics

General details of the subject

Mode
Face-to-face degree course
Language
English

Description and contextualization of the subject

En este curso estudiaremos el uso de corpus textuales en la lingüística computacional. Empezaremos con una breve introducción a corpus lingüísticos, incluyendo las anotaciones lingüísticas y los esquemas de representación. A continuación, trabajaremos la extracción de información relevante del corpus, como pueden ser colocaciones o la extracción de palabras clave utilizando técnicas estadísticas y distribucionales. Por último, aprenderemos el lenguaje de etiquetado XML. A lo largo del curso trabajaremos con corpus en varios idiomas (inglés, español, euskera, etc).

Teaching staff

NameInstitutionCategoryDoctorTeaching profileAreaE-mail
ARBELAIZ GALLEGO, OLATZUniversity of the Basque CountryProfesorado AgregadoDoctorBilingualComputer Architecture and Technologyolatz.arbelaitz@ehu.eus
PEREZ RAMIREZ, ALICIAUniversity of the Basque CountryProfesorado AgregadoDoctorBilingualComputer Languages and Systemsalicia.perez@ehu.eus
SOROA ECHAVE, AITORUniversity of the Basque CountryProfesorado AgregadoDoctorBilingualScience of Computation and Artificial Intelligencea.soroa@ehu.eus

Competencies

NameWeight
Ability to design and manage big linguistic resources (textual and speech corpora, multilingual corpora and lexical-semantic databases).40.0 %
Ability to develop heuristics and to modify classic algorithms to adapt them for specific tasks.20.0 %
Ability to design and manage systems based on standard annotation languages based on XML such as TEI or NAF.40.0 %

Study types

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Lecture-based101525
Applied laboratory-based groups203050

Training activities

NameHoursPercentage of classroom teaching
Computer work practice, laboratory, site visits, field trips, external visits50.040 %
Lectures25.040 %

Assessment systems

NameMinimum weightingMaximum weighting
Attendance and participation20.0 % 20.0 %
Portfolio20.0 % 20.0 %
Practical tasks40.0 % 40.0 %
Presentations20.0 % 20.0 %

Learning outcomes of the subject

The purpose of the course is to offer the students the capabilities for indentifying many language processings problems and rendering them as data analysis tasks. The students will also know the principles of corpus linguistics and linguistic annotations, including markup languages such as XML. At the end of the course, the students will be able to extract many relevant information from textual corpora based on statistical analysis.

Temary

1. Introducción a corpus lingüísticos.



2. Características y tipos de corpus.

- Ejemplos de corpus



3. Anotación de corpus.

- Etiquetas comunes y análisis de niveles



4. Representación lingüística

- El lenguaje XML

- Estándares de la representación (TEI, NAF, AWA)

Bibliography

Basic bibliography

Aarts, J. And Meijs, W. (eds.) (1986) Corpus Linguistics II, Amsterdam: Rodopi.

Aijmer, K. and Altenberg, B. (Eds) (1991) English Corpus Linguistics: Studies In Honour Of Jan Svari. London: Longman.

Anthony, L. (2013) ¿A critical look at software tools in corpus linguistics¿, Linguistic Research, Volume 30, Issue 2, pp. 141-161.

Baker, P. (2010) Sociolinguistics and Corpus Linguistics. Edinburgh University Press, Edinburgh.

Garside, R., Leech, G. and McEnery, T. (1997) Corpus Annotation. Longman, Harlow.

Jurafsky D., Martin J.H. (2000) Speech and Language Processing. An Introduction To Natural Language Processing Computational Linguistics and Speech Recognition. Prentice-Hall.

Lawler J., Aristar H. (1998) Using Computers In Linguistics. A Practical Guide. Routledge.

Leech, G. And Fallon, R. (1992) "Computer Corpora - What Do They Tell Us About Culture". Icame Journal, 29-50.

McEnery, T. and Hardie, A (2012) Corpus Linguistics: Method, Theory and Practice. Cambridge University Press, Cambridge.

Text Encoding And Interchange, TEI P5 (2016) Chicago And Oxford: Text Encoding Initiative.