<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chrupala-2023-putting">
    <titleInfo>
        <title>Putting Natural in Natural Language Processing</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Grzegorz</namePart>
        <namePart type="family">Chrupała</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: ACL 2023</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Anna</namePart>
            <namePart type="family">Rogers</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jordan</namePart>
            <namePart type="family">Boyd-Graber</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Naoaki</namePart>
            <namePart type="family">Okazaki</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Toronto, Canada</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language. Work on spoken language, on the other hand, has been siloed off within the largely separate speech processing community which has been inordinately preoccupied with transcribing speech into text. Recent advances in deep learning have led to a fortuitous convergence in methods between speech processing and mainstream NLP. Arguably, the time is ripe for a unification of these two fields, and for starting to take spoken language seriously as the primary mode of human communication. Truly natural language processing could lead to better integration with the rest of language science and could lead to systems which are more data-efficient and more human-like, and which can communicate beyond the textual modality.</abstract>
    <identifier type="citekey">chrupala-2023-putting</identifier>
    <identifier type="doi">10.18653/v1/2023.findings-acl.495</identifier>
    <location>
        <url>https://aclanthology.org/2023.findings-acl.495</url>
    </location>
    <part>
        <date>2023-07</date>
        <extent unit="page">
            <start>7820</start>
            <end>7827</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Putting Natural in Natural Language Processing
%A Chrupała, Grzegorz
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F chrupala-2023-putting
%X Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language. Work on spoken language, on the other hand, has been siloed off within the largely separate speech processing community which has been inordinately preoccupied with transcribing speech into text. Recent advances in deep learning have led to a fortuitous convergence in methods between speech processing and mainstream NLP. Arguably, the time is ripe for a unification of these two fields, and for starting to take spoken language seriously as the primary mode of human communication. Truly natural language processing could lead to better integration with the rest of language science and could lead to systems which are more data-efficient and more human-like, and which can communicate beyond the textual modality.
%R 10.18653/v1/2023.findings-acl.495
%U https://aclanthology.org/2023.findings-acl.495
%U https://doi.org/10.18653/v1/2023.findings-acl.495
%P 7820-7827

Markdown (Informal)

[Putting Natural in Natural Language Processing](https://aclanthology.org/2023.findings-acl.495) (Chrupała, Findings 2023)

• Putting Natural in Natural Language Processing (Chrupała, Findings 2023)

ACL

• Grzegorz Chrupała. 2023. Putting Natural in Natural Language Processing. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7820–7827, Toronto, Canada. Association for Computational Linguistics.