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Orthographic and phonological neighborhood databases across multiple languages

Bibliographic Data

ID19509504
AuthorsViorica Marian (0000-0002-8335-1433, Northwestern University, corresponding author)
Year2017
Volume20
Issue1
Pages6-26
Publication date2017-10-19
Open AccessNo
TypeARTICLE
VenueWritten Language & Literacy (JOURNAL)
Journal identifiersISSN: 1387-6732 • E-ISSN: 1570-6001
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/wll.20.1.02mar
PMID28839451
OpenAlexW2763957203
LanguageEN
Citations received2
References cited34

The increased globalization of science and technology and the growing number of bilinguals and multilinguals in the world have made research with multiple languages a mainstay for scholars who study human function and especially those who focus on language, cognition, and the brain. Such research can benefit from large-scale databases and online resources that describe and measure lexical, phonological, orthographic, and semantic information. The present paper discusses currently-available resources and underscores the need for tools that enable measurements both within and across multiple languages. A general review of language databases is followed by a targeted introduction to databases of orthographic and phonological neighborhoods. A specific focus on CLEARPOND illustrates how databases can be used to assess and compare neighborhood information across languages, to develop research materials, and to provide insight into broad questions about language. As an example of how using large-scale databases can answer questions about language, a closer look at neighborhood effects on lexical access reveals that not only orthographic, but also phonological neighborhoods can influence visual lexical access both within and across languages. We conclude that capitalizing upon large-scale linguistic databases can advance, refine, and accelerate scientific discoveries about the human linguistic capacity

Database · Linguistics · Natural language processing · Orthographic projection · Computer Science · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Speech Recognition and Synthesis · Artificial Intelligence

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Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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