In today’s digital world, the amount of text communicated in electronic form is ever-increasing and there is a growing need for approaches and methods to extract meanings from texts at scale. Corpus linguists have long been studying recurring patterns in digitised texts with the help of concordances, i.e. displays that show many occurrences of a word, phrase or construction across a range of contexts in a compact format. However, lacking a well-established and clear-cut methodology, the art of reading concordances has not yet realised its full potential. At the same time, there has been very little innovation in algorithms in the concordance software packages available to corpus linguists. This project proposes an innovative approach to reading concordances in the 21st century. Through the collaboration between the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg we combine strengths in theoretical work in corpus linguistics with expertise in computational algorithms in order to develop a systematic methodology for reading concordances and corresponding algorithms for the semi-automatic analysis of concordance lines. Through two case studies on English and German data sets, we will establish an approach that not only provides innovation in corpus linguistics, but also has wider implications for the analysis of textual data at scale, while still retaining a humanities perspective.

Responsibilities of the postdoctoral researcher:

Developing, implementing, and applying novel computer algorithms to support and improve the manipulation of concordance displays
Producing documentation
Carrying out interdisciplinary case studies using the new methodology in close collaboration with other researchers
Leading on the organisation of workshops and other dissemination activities
Developing training materials for workshops and materials for web presence
Analysing data, writing up results, and co-authoring publications
Managing project tasks, supervising student assistants, and providing progress reports
Managing collaborative activities with the UK team




Notwendige Qualifikationen:

PhD or DPhil in Computational Linguistics, Computer Science, Machine Learning, Corpus Linguistics, Computational Humanities, or similar subject (completed or near completion)
Evidence of strong programming skills, ideally in Python
Evidence of ability to analyse linguistic data
Native-like language skills in German and English
Excellent communication skills in English, including the ability to write for publication, present research proposals and results, and represent the project team at meetings and research events
Ability to work independently, manage own academic research and associated activities, and to supervise student assistants
Wünschenswerte Qualifikationen:

Strong publication record (commensurate with opportunities and experience) at relevant international conferences (computational linguistics, DH, corpus linguistics)
Experience in interdisciplinary research is a plus
Experience with deep learning approaches and/or statistical methods is a plus\

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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