Wednesday, April 27

Reflection on Computational Stylistics


Stylistics is basically the study of the particular style of an author or a literary genre. It puts a label on individual authors on how they usually present their works. Through stylistics, it enables readers to distinguish between works of different authors hence automatically giving readers a sense of familiarity or more clarity when reading a particular literary work.

Being an English major, the passion of reading literary works is a must. This is the only way we can progress and make connections to the courses that we are currently taking and have taken. Therefore, it is only logical if works from various authors from different eras, centuries, genres and backgrounds are ingrained in our mind. And surprisingly, we managed to distinguish between authors of different genres and eras.

How is this even possible? Could it be that our mind is just that amazing for being able to store one information after another by the mere analyzation of a particular text of an author? This is where computational stylistics comes into focus. Yes, there is no doubt that our mind can work wonders since we are indeed the best of His creations, mashaAllah. But, computational stylistics has helped us in being able to make that distinction. By categorizing the specific style that has always been used by that particular author. When we make use of this technology, we are able to come up with genres and distinctions that will further boost our reading and analysing experience.

Through this, we can be more critical in reading because we have the knowledge beforehand to dissect a particular text. In our opinion, being able to read a text with a critical mind is the central objective of studying English Language and Literature.

And attached below is a website which analyzes your word choice, writing style and composition and compares the results to those of famous writers! It will give you a sense of pride for having similar writing style of notable authors (and a slight ego boost too).



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