Abstract
The research project described in the paper aimed at creating a semantically and grammatically annotated corpus of Polish synesthetic metaphors—Synamet. The texts in the corpus were excerpted from blogs devoted to perfume, wine, beer, cigars, Yerba Mate, tea, or coffee, as well as culinary blogs, music blogs, art blogs, massage, and wellness blogs. Most recent corpus-based studies on metaphors utilize the Conceptual Metaphor Theory by Lakoff and Johnson. Recently, however, a ‘domain’ has been replaced with the concept of frame. In this project, frames were built up from scratch and were adjusted to the texts. The paper outlines the analytical procedure employed during the corpus compilation, and the main results—statistics of source and target frames and their elements and frame-based models of synesthesia in the corpus.
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Notes
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Yerba mate is used to make a tea beverage known as mate in Spanish and Portuguese.
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Acknowledgments
The paper is funded by the National Science Centre in Poland under the project no. UMO-2014/15/B/HS2/00182 titled: SYNAMET – the Microcorpus of Synaesthetic Metaphors. Towards a Formal Description and Efficient Methods of Analysis of Metaphors in Discourse.
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Zawisławska, M. (2022). Frame-Based Annotation in the Corpus of Synesthetic Metaphors. In: Vetulani, Z., Paroubek, P., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2019. Lecture Notes in Computer Science(), vol 13212. Springer, Cham. https://doi.org/10.1007/978-3-031-05328-3_19
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