The understanding of the quantifiers 'many' and 'most'

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

Quantifiers are an essential part of linguistic summaries, which are used to describe data sets using template-based sentences in natural language. Often used quantifiers are the words 'many' and 'most', for example as used in the sentences 'many cars are black' and 'most rooms are booked'. In this paper, we conduct a study among university students to define the meaning of the quantifiers 'many' and 'most'. We focus on the relative use of these quantifiers. The outcomes of this survey are then used to create membership functions. Since literature suggests that there might be a difference in the use of language of native and non-native English speakers, the participants are split into these two groups and the resulting outcomes are compared. The results of this study suggest that native speakers make less distinction between the quantifiers 'many' and 'most' than non-native English speakers.

TaalEngels
TitelProceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
RedacteurenSuresh Sundaram
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers (IEEE)
Pagina's189-195
Aantal pagina's7
ISBN van elektronische versie978-1-5386-9276-9
ISBN van geprinte versie978-1-5386-9277-6
DOI's
StatusGepubliceerd - 28 jan 2019
Evenement8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 - Bangalore, India
Duur: 18 nov 201821 nov 2018

Congres

Congres8th IEEE Symposium Series on Computational Intelligence, SSCI 2018
LandIndia
StadBangalore
Periode18/11/1821/11/18

Vingerafdruk

Membership functions
Quantifiers
Linguistics
Railroad cars
Students
Membership Function
Natural Language
Template

Trefwoorden

    Citeer dit

    Fuchs, C., Vlooswijk, E., Kaymak, U., & Wilbik, A. (2019). The understanding of the quantifiers 'many' and 'most'. In S. Sundaram (editor), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (blz. 189-195). [8628821] Piscataway: Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/SSCI.2018.8628821
    Fuchs, Caro ; Vlooswijk, Els ; Kaymak, Uzay ; Wilbik, Anna. / The understanding of the quantifiers 'many' and 'most'. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. redacteur / Suresh Sundaram. Piscataway : Institute of Electrical and Electronics Engineers (IEEE), 2019. blz. 189-195
    @inproceedings{08925f975182419e9ad0a3d3451476e6,
    title = "The understanding of the quantifiers 'many' and 'most'",
    abstract = "Quantifiers are an essential part of linguistic summaries, which are used to describe data sets using template-based sentences in natural language. Often used quantifiers are the words 'many' and 'most', for example as used in the sentences 'many cars are black' and 'most rooms are booked'. In this paper, we conduct a study among university students to define the meaning of the quantifiers 'many' and 'most'. We focus on the relative use of these quantifiers. The outcomes of this survey are then used to create membership functions. Since literature suggests that there might be a difference in the use of language of native and non-native English speakers, the participants are split into these two groups and the resulting outcomes are compared. The results of this study suggest that native speakers make less distinction between the quantifiers 'many' and 'most' than non-native English speakers.",
    keywords = "computing with words, fuzzy logic, linguistic summaries, quantifiers",
    author = "Caro Fuchs and Els Vlooswijk and Uzay Kaymak and Anna Wilbik",
    year = "2019",
    month = "1",
    day = "28",
    doi = "10.1109/SSCI.2018.8628821",
    language = "English",
    isbn = "978-1-5386-9277-6",
    pages = "189--195",
    editor = "Suresh Sundaram",
    booktitle = "Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018",
    publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
    address = "United States",

    }

    Fuchs, C, Vlooswijk, E, Kaymak, U & Wilbik, A 2019, The understanding of the quantifiers 'many' and 'most'. in S Sundaram (redactie), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018., 8628821, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, blz. 189-195, Bangalore, India, 18/11/18. DOI: 10.1109/SSCI.2018.8628821

    The understanding of the quantifiers 'many' and 'most'. / Fuchs, Caro; Vlooswijk, Els; Kaymak, Uzay; Wilbik, Anna.

    Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. redactie / Suresh Sundaram. Piscataway : Institute of Electrical and Electronics Engineers (IEEE), 2019. blz. 189-195 8628821.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    TY - GEN

    T1 - The understanding of the quantifiers 'many' and 'most'

    AU - Fuchs,Caro

    AU - Vlooswijk,Els

    AU - Kaymak,Uzay

    AU - Wilbik,Anna

    PY - 2019/1/28

    Y1 - 2019/1/28

    N2 - Quantifiers are an essential part of linguistic summaries, which are used to describe data sets using template-based sentences in natural language. Often used quantifiers are the words 'many' and 'most', for example as used in the sentences 'many cars are black' and 'most rooms are booked'. In this paper, we conduct a study among university students to define the meaning of the quantifiers 'many' and 'most'. We focus on the relative use of these quantifiers. The outcomes of this survey are then used to create membership functions. Since literature suggests that there might be a difference in the use of language of native and non-native English speakers, the participants are split into these two groups and the resulting outcomes are compared. The results of this study suggest that native speakers make less distinction between the quantifiers 'many' and 'most' than non-native English speakers.

    AB - Quantifiers are an essential part of linguistic summaries, which are used to describe data sets using template-based sentences in natural language. Often used quantifiers are the words 'many' and 'most', for example as used in the sentences 'many cars are black' and 'most rooms are booked'. In this paper, we conduct a study among university students to define the meaning of the quantifiers 'many' and 'most'. We focus on the relative use of these quantifiers. The outcomes of this survey are then used to create membership functions. Since literature suggests that there might be a difference in the use of language of native and non-native English speakers, the participants are split into these two groups and the resulting outcomes are compared. The results of this study suggest that native speakers make less distinction between the quantifiers 'many' and 'most' than non-native English speakers.

    KW - computing with words

    KW - fuzzy logic

    KW - linguistic summaries

    KW - quantifiers

    UR - http://www.scopus.com/inward/record.url?scp=85062770797&partnerID=8YFLogxK

    U2 - 10.1109/SSCI.2018.8628821

    DO - 10.1109/SSCI.2018.8628821

    M3 - Conference contribution

    SN - 978-1-5386-9277-6

    SP - 189

    EP - 195

    BT - Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

    PB - Institute of Electrical and Electronics Engineers (IEEE)

    CY - Piscataway

    ER -

    Fuchs C, Vlooswijk E, Kaymak U, Wilbik A. The understanding of the quantifiers 'many' and 'most'. In Sundaram S, redacteur, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Piscataway: Institute of Electrical and Electronics Engineers (IEEE). 2019. blz. 189-195. 8628821. Beschikbaar vanaf, DOI: 10.1109/SSCI.2018.8628821