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This paper presents a research on using Google's Word2Vec model for intertextuality detection in literary texts. Word2Vec is considered a new and powerful Natural Language Processing semantic tool, used for computing text cohesion and similarity between documents. This article analyzes intertextuality in terms of semantic relations between words in novels. A similarity is calculated as a score: the...
A research study was conducted at the Abui tribe in Takpala, a village off Alor, Indonesia in 2015. Working together with linguists from NTU, observations were made on how the Abui people created textiles using traditional weaving techniques and tools. Oral interviews held with them have provided insights on how textiles are connected to their everyday life and language. Deeper conversational exchanges...
In this paper, we present various visualizations for the Text Re-use found between texts of a collection to support humanists in answering a broad palette of research questions. When juxtaposing all texts of a corpus in the form of tuples, we propose the Text Re-use Grid as a distant reading method that emphasizes text tuples with systematic or repetitive Text Re-use. In contrast, the Text Re-use...
Intertextuality is the way that we relate textual occurrences to each other and recognizes them as signs which evoke whole areas of our previous textual experience. It is very important to recognize intertextuality for understanding and translating works, especially classics. This paper proposes a framework and four types of measurements to compute intertextuality, namely, Dice coefficient, Jaccard...
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