This document discusses computational stylistics, which uses computers to analyze linguistic patterns and styles. It is a sub-discipline of computational linguistics that emerged in the 1960s. Researchers use corpora of literary works and analyze features like word choice, sentence structure, and other patterns. Computational stylistics can be used to determine an author's signature style and identify works. One example study analyzed Shakespeare's soliloquies versus dialogue using various corpus analysis tools to reveal linguistic differences between the text types and between his early and late works. The document outlines the scope, relevance to language research, and tools used in computational stylistic studies.

1. COMPUTATIONAL
STYLISTICS
NOOR KHAIRIN NAWWARAH KHALID 0822002
NUR HUSNA AYUNI ABDULLAH 0820824
NUR SYAIRA AZMI 0825436
NUR IZZATI IDRIS 0829136

2. INTRODUCTION
 a sub-discipline of computational linguistics.
 It evolved in the 1960s
 the study of patterns formed in the process of the linguistic encoding of
information.
 In the area of “stylometry,” the study of linguistic style, which the computer
is used to generate data on the types, number and length of words
and sentences.
 Corpus
- Anything that are related to literary works that will be chosen.
-Examples Shakespeare (Romeo and Juliet), Emily Dickinson’s poems, etc.

3.  Through the use of computers, it should be possible to achieve
more accurate detection and explanation of such linguistic
patterns
 Stylistic analysis is also integral to the detection of uses of
language which distinguish one author from another. An
author's style is his signature.
 Through analysis of individual style, researchers can find clues
to unique characteristics in linguistic pattern.

4. THE SCOPE
 Literary fields; play, poems, novel, short stories etc.
 machine translation

5. RELEVANCE OR APPLICATION TO
LANGUAGE RESEARCH
 To determine the style of literary works; grammar,
lexis, semantics, phonological properties.
 To identify linguistic features; Arbitrariness, creativity' or
'open-endedness‘.
- For example: The Scarlet Letter by Nathaniel Hawthorne.

6. STUDY ON COMPUTATIONAL
STYLISTICS
 “Now I am alone: A corpus stylistic approach to
Shakespearian soliloquies”
 Sean Murphy, Lancaster University
 Purpose:
- Aims to show what a corpus stylistic analysis can
reveal about the linguistic nature of soliloquies
as opposed to dialogue in Shakespeare's plays,
and
- to what extent this methodological approach can
highlight distinctions between comedies,
histories and tragedies, and early plays as
opposed to mid-career works.

7.  Methodology
- The researcher chose 12 Shakespeare’s plays and
created a soliloquies/aside document and
interactional language document for each play and
calculated the percentage of self talk. The
documents then uploaded to Wmatrix to detect
regularize words. Next, using a Multilingual
Corpus Toolkit to uncover further layers of
meaning. Lastly, using WordSmith Tools to carry
out concordances on selected findings to determine
frequent collocations.

8.  Tools
- Corpora of soliloquies and aside, Shakespeare's
plays, WordHoard, Multilingual Corpus Toolkit,
Wmatrix and WordSmith Tools

9.  Findings
 - 1) Differences between self-talk and
interactional language - the overuse of
interjections like O, and the
expression of doubt with and yet.
 2) Soliloquiesers - they give implicit stage
directions, reveal future intentions, and they
generalize.
 3) In terms of topics, soliloquies appear to talk at
great length about anatomy and physiology,
thoughts, colours, love and deception.

10. REFLECTION
Not much study were found under this topic.
Even when we found a study, we could not
comprehend the whole study. Because it involves
with figures/ statistics.