'A Few Simple Words' of Interior Monologue in Ulysses: Reconfiguring the Evidence

McKenna, Wayne; Antonia, Alexis

doi:10.1093/llc/11.2.55

Cited by 7 publications

(1 citation statement)

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“…6 In the discipline of stylometry, it has become a popular practice to carry out multivariate analysis, using frequencies of a set of words or linguistic features as variables, to measure a similarity or difference between texts. Burrows ( , 1989Burrows ( , 1992a, Craig (1992Craig ( , 1999a, Binongo (1994), McKenna and Antonia (1996), and Tabata (1994Tabata ( , 1995Tabata ( , 1998) treated 11-100 highest frequency words in literary texts by various authors. Nakamura (1994) dealt with personal pronouns in the Bank of English, while Nakamura and Sinclair (1995) analyzed the collocates of the word "woman" in the Bank of English.…”

Section: Text Annotationmentioning

confidence: 99%

English Corpus Linguistics in Japan

Yamazaki¹,

Nakamura²,

Saito³

2002

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It is generally said that falling intonation is used at the end of a declarative sentence. However, this is not the case with all stretches of spontaneous speech marked in transcription as sentences. In order to consider the relationship between punctuation and tone patterns, this paper examines intonation patterns at the end of sentences in oral presentations, and discusses instances where falling intonation does not occur. The texts used for analysis are eight oral presentations collected at international conferences in the field of physics, and comparison is made with BBC news and lectures compiled in the Lancaster/IBM Spoken English Corpus. Quantitative and qualitative analysis is carried out. Three major factors were found for the non-occurrence of falling intonation at sentence boundaries, and the findings are considered in terms of discourse strategies which affect the production of a text. 11The overall frequency of the occurrence of five tone patterns was used to make the analysis. Frequencies of the nearest neighbouring tone patterns (indicated in { } in the tables) were all excluded. 12As for British 1, see 4.2. AbstractThe aim of this paper is to demonstrate the use of the multivariate analysis Quantification of Contingency Tables (QCT) in studying the structure of a corpus on the basis of the distribution of chosen grammatical categories across different text types. Thousands of verbs, nouns and adjectives of the LOB Corpus were dealt with; the frequency lists of these categories across 15 different text genres were processed by QCT. By using the resulting quantities, the relationships among verbs, the relationships among genres and the relationships between the distributions of verbs and of genres in the LOB Corpus were determined. The results were then compared with those later obtained from the distribution of nouns and adjectives. A high degree of similarity in the structures of the corpus was observed, despite the fact that a different part of speech was employed in each case. Stylistic dichotomy between narrative texts and expository texts seemed to play the most important role in determining the structures, thus indicating both the usefulness and versatility of this statistical technique.

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Section: Text Annotationmentioning

confidence: 99%

English Corpus Linguistics in Japan

Yamazaki¹,

Nakamura²,

Saito³

2002

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Mahalanobis distance with an adapted within-author covariance matrix: An authorship verification experiment

Ishihara

2022

Digital Scholarship in the Humanities

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The rotated delta, which is argued to be a theoretically better-grounded distance measure, has failed to receive any empirical support for its superiority. This study revisits the rotated delta—which is more commonly known as the Mahalanobis distance in other areas—with two different covariance matrices that are estimated from training data. The first covariance matrix represents the between-author variability, and the second the within-author variability. A series of likelihood ratio-based authorship verification experiments was carried out with some different distance measures. The experiments made use of the documents arranged from a large database of text messages that allowed for a total of 2,160 same-author and 4,663,440 different-author comparisons. The Mahalanobis distance with the between-author covariance matrix performed far worse compared to the other distance measures, whereas the Mahalanobis distance with the within-author covariance matrix performed better than the other measures. However, superior performance relative to the cosine distance is subject to word lengths and/or the order of the feature vector. The result of follow-up experiments further illustrated that the covariance matrix representing the within-author variability needs to be trained using a good amount of data to perform better than the cosine distance: the higher the order of the vector, the more data are required for training. The quantitative results also infer that the two sources of variabilities—notably within- and between-author variabilities—are independent of each other to the extent that the latter cannot accurately approximate the former.

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