Language Analysis: Word Frequencies and Clustering

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Questions and Answers

Why does Hugh Craig criticize counting individual word frequencies?

  • Because words are interdependent and form phrases and collocations. (correct)
  • Because it is too difficult to accurately count word frequencies by hand.
  • Because counting word frequencies only works with rare words.
  • Because computers cannot adequately process individual words.

What is one advantage of counting words rather than phrases or collocations?

  • It can be done quickly and does not require deep linguistic understanding.
  • It is more aligned with manual search strategies.
  • It provides more accurate insights into the author's style.
  • It can be computerized with well-defined algorithms. (correct)

What is a limitation of analyzing language based on single words?

  • It doesn't allow for the use of sophisticated vocabulary.
  • It leads to overly complex analyses.
  • It doesn't consider the emotional connotations of individual words.
  • It fails to capture the unique sequences of joined words. (correct)

What does the phrase 'one word looks for another' suggest about language?

<p>There are predictable patterns in how words are combined. (A)</p> Signup and view all the answers

Which of the following describes the ideal method for analyzing word-clustering in texts, according to the passage?

<p>Examining the proximity of every word to every other word. (A)</p> Signup and view all the answers

When processing the phrase 'with mirth in funeral and with', what is the resulting edge and weight from 'with' to 'in'?

<p>An edge from 'with' to 'in' with a weight of 1 (D)</p> Signup and view all the answers

After processing 'with mirth in funeral and with', what is the weight of the edge from 'with' to 'and'?

<p>The edge from 'with' to 'and' has a weight of 2 (D)</p> Signup and view all the answers

When processing the sequence ending 'with dirge in marriage In', what happens to the weight of edge from 'with' to 'in'?

<p>The weight is increased by 2 (B)</p> Signup and view all the answers

What action is taken when processing the sequence 'funeral and with dirge in' in relation to the edge from 'in' to 'with'?

<p>A new edge from 'in' to 'with' is created with a weight of 1 (D)</p> Signup and view all the answers

In the sequence 'marriage In equal scale weighing', what happens to the edge from 'in' back to itself?

<p>The weight is increased by 1 (A)</p> Signup and view all the answers

Flashcards

Word Frequency Analysis

Analyzing the frequency of individual words in a text, ignoring the words' relationships and how they form phrases.

Word Co-occurrence Analysis

A statistical method that examines the co-occurrence of words in a text. It measures how often words appear together, suggesting grammatical or semantic relationships.

Word Adjacency Analysis

The study of how words are arranged and connected in a text. It goes beyond individual word counts to examine the structure and relationships of words in phrases and sentences.

Word Adjacency Networks (WANs)

A network that represents the connections between words in a text. Each word is a node, and edges connect words that appear close together.

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Word Clustering Analysis

The analysis of how words are clustered together in a text, regardless of their frequency or rarity. This approach captures the broader phenomenon of word associations.

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Edge

A connection between two words in a text representing how often they appear together.

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Edge Weight

The number of times two words appear next to each other.

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Edge Creation

The process of analyzing a text and creating connections between words that appear close together.

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Target Word Analysis

Examining the sequence of words in a text to determine the frequency of co-occurring words.

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Edge Weight Increment

Updating the weight of an existing edge when a pair of words appears again in a text.

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Study Notes

Attributing Authorship of Henry VI Plays by Word Adjacency

  • Santiago Segarra, Mark Eisen, Gabriel Egan, and Alejandro Ribeiro are the authors of the study
  • The study was published in Shakespeare Quarterly, Volume 67, Number 2, Summer 2016
  • The article spans pages 232-256
  • The study examines the authorship of the Henry VI plays using word adjacency
  • Published by Oxford University Press
  • DOI: https://doi.org/10.1353/shq.2016.0024
  • Additional information about the study is available via https://muse.jhu.edu/article/643795

Methods for Authorship Attribution

  • Shorthand writing systems, like those used on subway systems, utilize redundancy in language.
  • Claude Shannon's information theory is applied to measure redundancy in conventional writing
  • Analyzing the frequency and proximity of words (adjacency) can reveal authorial patterns.
  • Word adjacency networks (WANs) track the frequency and proximity of word choice in a text.
  • The method counts the frequency of individual words, or the closeness of one word to the next to create a detailed profile characteristic of the writer
  • Researchers create word adjacency networks (WANs) from texts to be attributed and match them to authorial profiles.
  • Similarity of these networks is measured using statistical methods.

Validation of Method

  • The method's effectiveness is validated by applying it to known texts, comparing the results to established authorship attributions.
  • Accuracy is measured using relative entropy, comparing authorial networks in terms of word frequency and patterns
  • Example texts used include: Hamlet, Satiromastix, 2 Henry IV and The Tempest, and texts by Middleton, and Jonson.
  • The method can distinguish between known author styles with high accuracy.

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