Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features

Kim Cheng Sheang

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Abstract
The paper is about our experiments with Complex Word Identification system using deep learning approach with word embeddings and engineered features.
Anthology ID:
R19-2013
Volume:
Proceedings of the Student Research Workshop Associated with RANLP 2019
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Editors:
Venelin Kovatchev, Irina Temnikova, Branislava Šandrih, Ivelina Nikolova
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
83–89
Language:
URL:
https://aclanthology.org/R19-2013
DOI:
10.26615/issn.2603-2821.2019_013
Bibkey:
Cite (ACL):
Kim Cheng Sheang. 2019. Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features. In Proceedings of the Student Research Workshop Associated with RANLP 2019, pages 83–89, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features (Sheang, RANLP 2019)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/R19-2013.pdf