Babel Fish Democracy? Prospects for Addressing Democratic Language Barriers through Machine Translation and Interpretation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AAWBZ7PVW" target="_blank" >RIV/00216208:11320/22:AWBZ7PVW - isvavai.cz</a>

Výsledek na webu

<a href="http://onlinelibrary.wiley.com/doi/abs/10.1111/ajps.12728" target="_blank" >http://onlinelibrary.wiley.com/doi/abs/10.1111/ajps.12728</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/ajps.12728" target="_blank" >10.1111/ajps.12728</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Babel Fish Democracy? Prospects for Addressing Democratic Language Barriers through Machine Translation and Interpretation

Popis výsledku v původním jazyce

This article works to show that machine translation and interpretation technologies can play significant roles in addressing language barriers in democratic polities, including beyond the state. Numerous shared-language or interpretation models have been proposed to address such barriers, while possible machine models have largely been dismissed in the literature. Yet, online translation is now ubiquitous globally, and governments and international organizations increasingly use machine translation and some interpretation applications. Such technologies, it is shown, can greatly expand information uptake and participation by ordinary citizens in linguistically diverse polities. They also can avoid key fairness and cost concerns faced by other models, or help address them in hybrid configurations, especially in online settings. While speech-to-speech applications may never achieve the seamless vernacular “Babel fish” interpretations implied as necessary for some deliberative modes, machine models can be seen as valuable for addressing language barriers within a range of approaches to democracy.

Název v anglickém jazyce

Babel Fish Democracy? Prospects for Addressing Democratic Language Barriers through Machine Translation and Interpretation

Popis výsledku anglicky

This article works to show that machine translation and interpretation technologies can play significant roles in addressing language barriers in democratic polities, including beyond the state. Numerous shared-language or interpretation models have been proposed to address such barriers, while possible machine models have largely been dismissed in the literature. Yet, online translation is now ubiquitous globally, and governments and international organizations increasingly use machine translation and some interpretation applications. Such technologies, it is shown, can greatly expand information uptake and participation by ordinary citizens in linguistically diverse polities. They also can avoid key fairness and cost concerns faced by other models, or help address them in hybrid configurations, especially in online settings. While speech-to-speech applications may never achieve the seamless vernacular “Babel fish” interpretations implied as necessary for some deliberative modes, machine models can be seen as valuable for addressing language barriers within a range of approaches to democracy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

American Journal of Political Science

ISSN

0092-5853

e-ISSN

1540-5907

Svazek periodika

—

Číslo periodika v rámci svazku

June 2022

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

1-16

Kód UT WoS článku

000826785600001

EID výsledku v databázi Scopus

2-s2.0-85134186160