How can we query a large database and get the most relevant text documents? What methodology displays the best results and what does this tell us about the nature of our language and our existing methodologies of research? Tell me honestly that none of those questions grabs your interest and I’ll call you a liar!
Tzoukerman, Klavans & Strzalkowski. “Oxford Handbook of Computational Linguistics.” Edited by R. Mitkov (2003).
Continue reading “Information Retreival – Tzoukerman, Klavans, and Strzalkowski”
Why and how is black masculinity replicated by white boys in a mixed race US high school? The answer may only be regarding one boy, in one racially charged situation but it does offer some pointers on how masculinity is represented in linguistics.
Bucholtz, M. (1999). You da man: Narrating the racial other in the production of white masculinity. Journal of sociolinguistics, 3(4), 443-460.
Continue reading “You Da Man – Mucholtz”
On the back of the corpus chapter that I read through here, I thought that I would pick up an old project that I might explain in another post. Long story short, I wanted to try to build a system that will take input text and return innuendo. I chose innuendo as a form of humour because of seeming ease that anything can be twisted meaning training material for the system would be fruitful.
Continue reading “Corpus Anotation”
I went into this chapter (24 in the Oxford Handbook of Computational Linguistics) to answer a question that motivated me to get the book in the first place: “How should I extract a quantitive proof from a corpus?”. Unfortunately, it didn’t answer this question but it did provide a great jumping off point for further research.
Mitkov, R. (2005). The Oxford handbook of computational linguistics. Oxford University Press.
Continue reading “Corpus Linguistics – Tony McEnery”