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Exploring semantic differences between the Indonesian prefixes PE- and PEN- using a vector space model

Authors: Karlina Denistia; Elnaz Shafaei-Bajestan; R. Harald Baayen;

Exploring semantic differences between the Indonesian prefixes PE- and PEN- using a vector space model

Abstract

Abstract Indonesian has two prefixes, PE- and PEN-, that are similar in form and meaning, but are probably not allomorphs. In this study, we applied a distributional vector space model to clarify whether these prefixes have discriminable semantics. Comparisons of pairs of words within and across morphologically defined sets of words revealed that cosine similarities of pairs consisting of a word with PE- and a word with PEN- were reduced compared to pairs of only PE- words, or of only PEN- words. Furthermore, nouns with PE- were more similar to their base words than was the case for words with PEN-. The specialized use of PE- for words denoting agents, and the specialized use of PEN- for denoting instruments, was also visible in the semantic vector space. These differences in the semantics of PE- and PEN- thus provide further quantitative support for the independent status of PE- as opposed to PEN-.

Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science business.industry Cosine similarity computer.software_genre language.human_language Prefix Indonesian language Vector space model Artificial intelligence Distributional semantics business computer Natural language processing

Keywords

Linguistics and Language, Language and Linguistics

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Funded by
EC| WIDE
Project
WIDE
Wide Incremental learning with Discrimination nEtworks
  • Funder: European Commission (EC)
  • Project Code: 742545
  • Funding stream: H2020 | ERC | ERC-ADG
Related to Research communities
Digital Humanities and Cultural Heritage
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