We report on an inter-annotator agreement experiment involving instances of text reuse focusing on the well-known case of biblical intertextuality in medieval literature. We target the application use case of literary scholars whose aim is to documen
t instances of biblical references in the apparatus fontium' of a prospective digital edition. We develop a Bayesian implementation of Cohen's kappa for multiple annotators that allows us to assess the influence of various contextual effects on the inter-annotator agreement, producing both more robust estimates of the agreement indices as well as insights into the annotation process that leads to the estimated indices. As a result, we are able to produce a novel and nuanced estimation of inter-annotator agreement in the context of intertextuality, exploring the challenges that arise from manually annotating a dataset of biblical references in the writings of Bernard of Clairvaux. Among others, our method was able to unveil the fact that the obtained agreement depends heavily on the biblical source book of the proposed reference, as well as the underlying algorithm used to retrieve the candidate match.
Identifying intertextual relationships between authors is of central importance to the study of literature. We report an empirical analysis of intertextuality in classical Latin literature using word embedding models. To enable quantitative evaluatio
n of intertextual search methods, we curate a new dataset of 945 known parallels drawn from traditional scholarship on Latin epic poetry. We train an optimized word2vec model on a large corpus of lemmatized Latin, which achieves state-of-the-art performance for synonym detection and outperforms a widely used lexical method for intertextual search. We then demonstrate that training embeddings on very small corpora can capture salient aspects of literary style and apply this approach to replicate a previous intertextual study of the Roman historian Livy, which relied on hand-crafted stylometric features. Our results advance the development of core computational resources for a major premodern language and highlight a productive avenue for cross-disciplinary collaboration between the study of literature and NLP.
This research aims to identify Mamdouh Odwan's Styles of poetic intertextuality ,
depending on a first reading of concept of " intertextuality" and its role in providing the
process of creativity with traditional expressions that lead the modern te
xt to a level of
interacting with other texts. This interaction, furthermore, is denoted via the duality of
connection and disconnection sometimes based on copying and following ancient poetic
texts and neglecting or even negating them other times.
The poetic intertextuality in Odwan's is crystallized in three styles : connotation by
which the poet retains the morphological structure of old poems, relatively ; reference
through a word or a sentence of old poem and finally allusion that depends on symbolism
in achieving intertextuality with old poetry.
This paper will approach the aesthetics of those styles and their sub-divisions in
order to reach results that show the effect of poetic intertextuality on making the modern
poem open to ancient poetic heritage as well as employing it in a modern visionary
context.
This research deals with the phenomena of heritage in the Divan of "Brandishing of Tired Hands" of the poet , "MamdouhAdwan" which he drew from the religious heritage , such as calling the figure "Ali bin AbiTalib" , and from the historical heritage,
such as calling the figure "Saladin" , and the literary heritage , such as calling the figure "Alahtaih" and "Al-Mutanabbi" and others.
Researcher shows the presence of heritage in the poetry of Adwan by intertextuality with the Koran , and with poetry, and shows influenced language of the divan by the language of heritage , and also addresses the poet's employment of the heritage in his divan, and concludes the results reported in its place of the research.
