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