,
pages 3-10
Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language
Publication type: Book Chapter
Publication date: 2018-09-26
scimago Q4
SJR: 0.182
CiteScore: 1.1
Impact factor: —
ISSN: 18650929, 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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Metrics
18
Total citations:
18
Citations from 2024:
8
(44.44%)
Cite this
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BibTex
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GOST
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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)
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Sorokin A., Kravtsova A. Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language // Communications in Computer and Information Science. 2018. pp. 3-10.
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 -
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}
}