This volume brings together scholars from different backgrounds and career stages to rethink the role and scope of intertextuality in the context of premodern Japan. From antiquity to the rise of ...modernity, originality through repetition persists as a staple in the literary, performative, and artistic traditions of this country. Nonetheless, rather than slavish recycling of pre-existing tropes, the redeployment of familiar motifs by patterns of borrowing, allusion, and imitation would become a means to explore untrodden creative pathways and craft a shared sense of cultural belonging. Stemming from an international symposium hosted at Ca’ Foscari University of Venice in 2021 with the generous support of The Japan Foundation, the papers in this collection offer a thoughtful contribution to this debate by engaging texts from different historical periods, media, and genres – be it poetic, narrative, theatrical, visual, or religious. Although intertextuality may not be a new topic, the essays that follow attest to the enduring appeal of a concept whose explanatory power proves most effective when combined with other methods of inquiry, such as discourse analysis, social sciences, gender studies, and material culture. Thus, while opening new windows onto Japan’s literary worlds, these cross-disciplinary approaches provide further insights into the uses (and abuses) of the past in a non-Western non-modern society.
The classification of emotional states from poetry or formal text has received less attention by the experts of computational intelligence in recent times as compared to informal textual content like ...SMS, email, chat, and online user reviews. In this study, an emotional state classification system for poetry text is proposed using the latest and cutting edge technology of Artificial Intelligence, called Deep Learning. For this purpose, an attention-based C-BiLSTM model is implemented on the poetry corpus. The proposed approach classifies the text of poetry into different emotional states, like love, joy, hope, sadness, anger, etc. Different experiments are conducted to evaluate the efficiency of the proposed system as compared to other state-of-art methods as well as machine learning and deep learning methods. Experimental results depict that the proposed model outperformed the baselines studies with 88% accuracy. Furthermore, the analysis of the statistical experiment also validates the performance of the proposed approach.
The classification of emotional states from poetry or formal text has received less attention by the experts of computational intelligence in recent times as compared to informal textual content like ...SMS, email, chat, and online user reviews. In this study, an emotional state classification system for poetry text is proposed using the latest and cutting edge technology of Artificial Intelligence, called Deep Learning. For this purpose, an attention-based C-BiLSTM model is implemented on the poetry corpus. The proposed approach classifies the text of poetry into different emotional states, like love, joy, hope, sadness, anger, etc. Different experiments are conducted to evaluate the efficiency of the proposed system as compared to other state-of-art methods as well as machine learning and deep learning methods. Experimental results depict that the proposed model outperformed the baselines studies with 88% accuracy. Furthermore, the analysis of the statistical experiment also validates the performance of the proposed approach.
“Local Fauna opens with a meta-poem about Jack Spicer, and I couldn’t help but think of his ‘dictated’ poetry, poetry as vessel, poetry getting down what needs to be said. Brian Brodeur’s poems have ...this urgency—life, death, cruelty, politics, war, capitalism, and love. Hard truths come through the past, radio interviews, zoo animals, neighbors, personas, and pop songs. Brian Broduer’s poetry has insistence and morality, inclusivity and beauty. Local Fauna is terrific.”— Denise Duhamel
“Brian Brodeur’s formal skill, his feel for the whole history beneath a sentence, a line, a syllable, is matched here only by his unsentimental compassion for the people he renders in his poems. I can think of few other poets who capture what contemporary American life actually feels, looks, and sounds like as movingly as Brodeur does. Poems such as ‘Cousins,’ ‘Local Fauna,’ and ‘The Register’ will be with us for a long time indeed. Brian Brodeur is a marvel.”— Peter Campion
<!CDATA Immanent Visitor is the first English-language translation of the work of Bolivia's greatest and most visionary twentieth-century poet. A poète maudit, Jaime Saenz rejected the conventions of ...polite society and became a monk in service of his own imagination. Apocalyptic and occult in his politics, a denizen of slum taverns, unashamedly bisexual, insistently nocturnal in his artistic affairs, and secretive in his leadership of a select group of writers, Saenz mixed the mystical and baroque with the fantastic, the psychological, and the symbolic. In masterly translations by two poet-translators, Kent Johnson and Forrest Gander, Saenz's strange, innovative, and wildly lyrical poems reveal a literary legacy of fierce compassion and solidarity with indigenous Bolivian cultures and with the destitute, the desperate, and the disenfranchised of that unreal city, La Paz.
In long lines, in odes that name desire, with Whitmanesque anaphora, in exclamations and repetitions, Saenz addresses the reader, the beloved, and death in one extended lyrical gesture. The poems are brazenly affecting. Their semantic innovation is notable in the odd heterogeneity of formal and tonal structures that careen unabashedly between modes and moods; now archly lyrical, now arcanely symbolic, now colloquial, now trancelike. As Saenz's reputation continues to grow throughout the world, these inspired translations and the accompanying Spanish texts faithfully convey the poet's unique vision and voice to English-speaking readers.
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