Using Distributional Semantics to Trace Influence and Imitation in Romantic Orientalist Poetry

Nitish Aggarwal; Justin Tonra; Paul Buitelaar; Alan Akbik; Larysa Visengeriyeva

doi:10.13025/19417

Using Distributional Semantics to Trace Influence and Imitation in Romantic Orientalist Poetry

Nitish Aggarwal
, Justin Tonra
, Paul Buitelaar
, Alan Akbik (Editor)
, Larysa Visengeriyeva (Editor)

English

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

In this paper, we investigate whether textual analysis can yield evidence of shared vocabulary orformal textual characteristics in the works of 19th century poets Lord Byron and Thomas Moorein the genre of Romantic Orientalism. In particular, we identify and trace Byrons influence onMoores writings to query whether Moore imitated Byron, as many reviewers of the time suggested.We use a Distributional Semantic Model (DSM) to analyze if there is a shared vocabularyof Romantic Orientalism, or if it is possible to characterize a literary genre in terms of vocabulary,rather than in terms of the particular plots, characters and themes. We discuss the resultsthat DSM models are able to provide for an abstract overview of the influence of Lord Byronswork on Thomas Moore.

Original language	English (Ireland)
Title of host publication	AHA!-Workshop 2014 on Information Discovery in Text
Place of Publication	Dublin, Ireland
Publisher	ACL
DOIs	https://doi.org/10.13025/19417
Publication status	Published - 1 Aug 2014

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title = "Using Distributional Semantics to Trace Influence and Imitation in Romantic Orientalist Poetry",

abstract = " In this paper, we investigate whether textual analysis can yield evidence of shared vocabulary orformal textual characteristics in the works of 19th century poets Lord Byron and Thomas Moorein the genre of Romantic Orientalism. In particular, we identify and trace Byrons influence onMoores writings to query whether Moore imitated Byron, as many reviewers of the time suggested.We use a Distributional Semantic Model (DSM) to analyze if there is a shared vocabularyof Romantic Orientalism, or if it is possible to characterize a literary genre in terms of vocabulary,rather than in terms of the particular plots, characters and themes. We discuss the resultsthat DSM models are able to provide for an abstract overview of the influence of Lord Byronswork on Thomas Moore. ",

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AU - Aggarwal, Nitish

AU - Tonra, Justin

AU - Buitelaar, Paul

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A2 - Visengeriyeva, Larysa

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N2 - In this paper, we investigate whether textual analysis can yield evidence of shared vocabulary orformal textual characteristics in the works of 19th century poets Lord Byron and Thomas Moorein the genre of Romantic Orientalism. In particular, we identify and trace Byrons influence onMoores writings to query whether Moore imitated Byron, as many reviewers of the time suggested.We use a Distributional Semantic Model (DSM) to analyze if there is a shared vocabularyof Romantic Orientalism, or if it is possible to characterize a literary genre in terms of vocabulary,rather than in terms of the particular plots, characters and themes. We discuss the resultsthat DSM models are able to provide for an abstract overview of the influence of Lord Byronswork on Thomas Moore.

AB - In this paper, we investigate whether textual analysis can yield evidence of shared vocabulary orformal textual characteristics in the works of 19th century poets Lord Byron and Thomas Moorein the genre of Romantic Orientalism. In particular, we identify and trace Byrons influence onMoores writings to query whether Moore imitated Byron, as many reviewers of the time suggested.We use a Distributional Semantic Model (DSM) to analyze if there is a shared vocabularyof Romantic Orientalism, or if it is possible to characterize a literary genre in terms of vocabulary,rather than in terms of the particular plots, characters and themes. We discuss the resultsthat DSM models are able to provide for an abstract overview of the influence of Lord Byronswork on Thomas Moore.

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M3 - Conference Publication

BT - AHA!-Workshop 2014 on Information Discovery in Text

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CY - Dublin, Ireland

ER -

Using Distributional Semantics to Trace Influence and Imitation in Romantic Orientalist Poetry

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