@inproceedings{319407273d3f49b6b65ec5ac56cb66bd,
title = "Point the Point: Uyghur Morphological Segmentation Using PointerNetwork with GRU",
abstract = "Uyghur is an agglutinative language that has many morphemes. It is necessary for processing Uyghur to segment words into morphemes. This work is called morphological segmentation. Previous works treat morphological segmentation as a tagging task and classify each character as one of four classes, which are However, these labels are not independent from each other, which makes the models easily overfitted. We propose a new method for the segmentation task. Instead of using these labels, we use only segmentation points for modeling. The model used in our method is more robust and easier to train than previous methods. Applying our model to Uyghur morphological segmentation, it achieves high accuracy and higher recall and f1 score than previous models.",
keywords = "Agglutinative language, Linguist, Morphological segmentation, NLP, PointerNetwork, Uyghur",
author = "Yaofei Yang and Shupin Li and Yangsen Zhang and Zhang, \{Hua Ping\}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 18th China National Conference on Computational Linguistics, CCL 2019 ; Conference date: 18-10-2019 Through 20-10-2019",
year = "2019",
doi = "10.1007/978-3-030-32381-3\_30",
language = "English",
isbn = "9783030323806",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "371--381",
editor = "Maosong Sun and Yang Liu and Zhiyuan Liu and Xuanjing Huang and Heng Ji",
booktitle = "Chinese Computational Linguistics - 18th China National Conference, CCL 2019, Proceedings",
address = "Germany",
}