<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="mizrahi-etal-2020-coming">
    <titleInfo>
        <title>Coming to Terms: Automatic Formation of Neologisms in Hebrew</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Moran</namePart>
        <namePart type="family">Mizrahi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Stav</namePart>
        <namePart type="family">Yardeni Seelig</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Dafna</namePart>
        <namePart type="family">Shahaf</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2020-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: EMNLP 2020</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Trevor</namePart>
            <namePart type="family">Cohn</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yulan</namePart>
            <namePart type="family">He</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yang</namePart>
            <namePart type="family">Liu</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Spoken languages are ever-changing, with new words entering them all the time. However, coming up with new words (neologisms) today relies exclusively on human creativity. In this paper we propose a system to automatically suggest neologisms. We focus on the Hebrew language as a test case due to the unusual regularity of its noun formation. User studies comparing our algorithm to experts and non-experts demonstrate that our algorithm is capable of generating high-quality outputs, as well as enhance human creativity. More broadly, we seek to inspire more computational work around the topic of linguistic creativity, which we believe offers numerous unexplored opportunities.</abstract>
    <identifier type="citekey">mizrahi-etal-2020-coming</identifier>
    <identifier type="doi">10.18653/v1/2020.findings-emnlp.442</identifier>
    <location>
        <url>https://aclanthology.org/2020.findings-emnlp.442</url>
    </location>
    <part>
        <date>2020-11</date>
        <extent unit="page">
            <start>4918</start>
            <end>4929</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Coming to Terms: Automatic Formation of Neologisms in Hebrew
%A Mizrahi, Moran
%A Yardeni Seelig, Stav
%A Shahaf, Dafna
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Findings of the Association for Computational Linguistics: EMNLP 2020
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F mizrahi-etal-2020-coming
%X Spoken languages are ever-changing, with new words entering them all the time. However, coming up with new words (neologisms) today relies exclusively on human creativity. In this paper we propose a system to automatically suggest neologisms. We focus on the Hebrew language as a test case due to the unusual regularity of its noun formation. User studies comparing our algorithm to experts and non-experts demonstrate that our algorithm is capable of generating high-quality outputs, as well as enhance human creativity. More broadly, we seek to inspire more computational work around the topic of linguistic creativity, which we believe offers numerous unexplored opportunities.
%R 10.18653/v1/2020.findings-emnlp.442
%U https://aclanthology.org/2020.findings-emnlp.442
%U https://doi.org/10.18653/v1/2020.findings-emnlp.442
%P 4918-4929

Markdown (Informal)

[Coming to Terms: Automatic Formation of Neologisms in Hebrew](https://aclanthology.org/2020.findings-emnlp.442) (Mizrahi et al., Findings 2020)

• Coming to Terms: Automatic Formation of Neologisms in Hebrew (Mizrahi et al., Findings 2020)

ACL

• Moran Mizrahi, Stav Yardeni Seelig, and Dafna Shahaf. 2020. Coming to Terms: Automatic Formation of Neologisms in Hebrew. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4918–4929, Online. Association for Computational Linguistics.