Abstract
This paper presents the work on automatic converb detection in Old Braj poetry from the 15–17 centuries. This is a part of research on non-finite verbal forms in early New Indo-Aryan (NIA) language corpora comprising data from Old Rajasthani, Awadhi, Braj, Dakkhini and Pahari [8]. The goal of the detection mechanism is to successfully identify a plaintext word as a converb or non-converb. Such mechanism facilitates further converb description and analysis, which is of great importance in research on historical syntax of NIA. In order to develop the automatic detector, a selection of state-of-art statistical classification mechanisms was used.
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Notes
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We use here consistently two of the three Dixonian primitive terms [2] i.e. A - subject of a transitive verb and O - object of a transitive verb.
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This research was supported by Polish National Science Centre grant 2013/10/M/HS2/00553.
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Jaworski, R., Stroński, K. (2020). Experiments with Automatic and Semi-automatic Detection of Sparse Word Forms in Old Braj. In: Vetulani, Z., Paroubek, P., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2017. Lecture Notes in Computer Science(), vol 12598. Springer, Cham. https://doi.org/10.1007/978-3-030-66527-2_9
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