Last week, the RGCL PhD Students presented their research to their peers and staff members from across the University. The posters were well received.
Richard Evans: ‘Sentence Simplification for Language Processing’
My research is about the development and evaluation of automatic methods for the analysis and simplification of sentences. The analysis step is shallow, making it efficient and robust when processing long complex sentences. The simplification method is iterative, allowing it to simplify sentences containing multiple occurrence and multiple types of complexity.
Ahmed Omer: ‘Arabic Stylometry’
Computational Stylometry is the computer analysis of writing style. Successful techniques for computational stylometry characterise the texts under study by large numbers of linguistic features, such as the frequencies of word, character, or sentence length.
The degree of stylistic difference between a pair of documents can then be found by any of a number of measures which compare the sets of linguistic features for each document.
Omid Rohanian: ‘ NLP Approaches to estimating Text Difficulty’
I am exploring NLP approaches in investigating text difficulty at the level of concepts. I regard conceptual difficulties, as linguistic phenomena that cause some form of complication in language understanding. This complication can manifest itself in elongation of processing, which could be captured in eye tracking data, or in the form of misunderstanding the intended meaning. Conceptual difficulties alter literal meaning, and in order to comprehend them, one might need to do additional processing.
If you are interested in pursuing a PhD with the Research Group in Computational Linguistics, please find further information on our Master and PhD studies page.