Word embedding and neural network on grammatical gender -- A case study of Swedish

Research output: Working paper › Preprint › Research

Standard

Word embedding and neural network on grammatical gender -- A case study of Swedish. / Allassonnière-Tang, Marc; Basirat, Ali.

2020.

Research output: Working paper › Preprint › Research

Harvard

Allassonnière-Tang, M & Basirat, A 2020 'Word embedding and neural network on grammatical gender -- A case study of Swedish'.

APA

Allassonnière-Tang, M., & Basirat, A. (2020). Word embedding and neural network on grammatical gender -- A case study of Swedish.

Vancouver

Allassonnière-Tang M, Basirat A. Word embedding and neural network on grammatical gender -- A case study of Swedish. 2020 Jul 28.

Author

Allassonnière-Tang, Marc ; Basirat, Ali. / Word embedding and neural network on grammatical gender -- A case study of Swedish. 2020.

Bibtex

@techreport{ab97a71f988a492db3f0b1341a1a20c2,
title = "Word embedding and neural network on grammatical gender -- A case study of Swedish",
abstract = " We analyze the information provided by the word embeddings about the grammatical gender in Swedish. We wish that this paper may serve as one of the bridges to connect the methods of computational linguistics and general linguistics. Taking nominal classification in Swedish as a case study, we first show how the information about grammatical gender in language can be captured by word embedding models and artificial neural networks. Then, we match our results with previous linguistic hypotheses on assignment and usage of grammatical gender in Swedish and analyze the errors made by the computational model from a linguistic perspective. ",
keywords = "cs.CL",
author = "Marc Allassonni{\`e}re-Tang and Ali Basirat",
note = "The paper was submitted to Nordic Journal of Linguistics in 2017",
year = "2020",
month = jul,
day = "28",
language = "Udefineret/Ukendt",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Word embedding and neural network on grammatical gender -- A case study of Swedish

AU - Allassonnière-Tang, Marc

AU - Basirat, Ali

N1 - The paper was submitted to Nordic Journal of Linguistics in 2017

PY - 2020/7/28

Y1 - 2020/7/28

N2 - We analyze the information provided by the word embeddings about the grammatical gender in Swedish. We wish that this paper may serve as one of the bridges to connect the methods of computational linguistics and general linguistics. Taking nominal classification in Swedish as a case study, we first show how the information about grammatical gender in language can be captured by word embedding models and artificial neural networks. Then, we match our results with previous linguistic hypotheses on assignment and usage of grammatical gender in Swedish and analyze the errors made by the computational model from a linguistic perspective.

AB - We analyze the information provided by the word embeddings about the grammatical gender in Swedish. We wish that this paper may serve as one of the bridges to connect the methods of computational linguistics and general linguistics. Taking nominal classification in Swedish as a case study, we first show how the information about grammatical gender in language can be captured by word embedding models and artificial neural networks. Then, we match our results with previous linguistic hypotheses on assignment and usage of grammatical gender in Swedish and analyze the errors made by the computational model from a linguistic perspective.

KW - cs.CL

M3 - Preprint

BT - Word embedding and neural network on grammatical gender -- A case study of Swedish

ER -

ID: 366049060