Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language

Publication typeBook Chapter
Publication date2018-09-26
scimago Q4
SJR0.182
CiteScore1.1
Impact factor
ISSN18650929, 18650937
Abstract
The present paper addresses the task of morphological segmentation for Russian language. We show that deep convolutional neural networks solve this problem with F1-score of 98% over morpheme boundaries and beat existing non-neural approaches.
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GOST |
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GOST Copy
Sorokin A., Kravtsova A. Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language // Communications in Computer and Information Science. 2018. pp. 3-10.
GOST all authors (up to 50) Copy
Sorokin A., Kravtsova A. Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language // Communications in Computer and Information Science. 2018. pp. 3-10.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-01204-5_1
UR - https://doi.org/10.1007/978-3-030-01204-5_1
TI - Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language
T2 - Communications in Computer and Information Science
AU - Sorokin, Alexey
AU - Kravtsova, Anastasia
PY - 2018
DA - 2018/09/26
PB - Springer Nature
SP - 3-10
SN - 1865-0929
SN - 1865-0937
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2018_Sorokin,
author = {Alexey Sorokin and Anastasia Kravtsova},
title = {Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language},
publisher = {Springer Nature},
year = {2018},
pages = {3--10},
month = {sep}
}