Evidence map›Paper›PMID 34405389›Full record

ArticleBehavior research methods2022

Database of word-level statistics for Mandarin Chinese (DoWLS-MAN).

Karl David Neergaard, Hongzhi Xu, James S German, Chu-Ren Huang

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Article in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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4citing papers in PubMed, 1 pooled it
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3 · Its place in the literature

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4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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5 · Who and what money

Authors and funding

4 authors.

Karl David NeergaardDepartment of English (E21-1060), University of Macau, Avenida da Universidade, Taipa, Macau, S.A.R, China. karlneergaard@gmail.com.ORCID http://orcid.org/0000-0002-1055-9495
Hongzhi XuInstitute of Corpus Studies and Application, Shanghai International Studies University, Shanghai, China.
James S GermanAix-Marseille Université, LPL, CNRS, Aix-en-Provence, France.
Chu-Ren HuangDepartment of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, S.A.R, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article we present the Database of Word-Level Statistics for Mandarin Chinese (DoWLS-MAN). The database addresses the lack of agreement in phonological syllable segmentation specific to Mandarin by offering phonological features for each lexical item according to 16 schematic representations of the syllable (8 with tone and 8 without tone). Those lexical statistics that differ per phonological word and nonword due to changes in syllable segmentation are of the variant category and include subtitle lexical frequency, phonological neighborhood density measures, homophone density, and network science measures. The invariant characteristics consist of each items' lexical tone, phonological transcription, and syllable structure among others. The goal of DoWLS-MAN is to provide researchers both the ability to choose stimuli that are derived from a segmentation schema that supports an existing model of Mandarin speech processing, and the ability to choose stimuli that allow for the testing of hypotheses on phonological segmentation according to multiple schemas. In an exploratory analysis we illustrate how multiple schematic representations of the phonological mental lexicon can aid in hypothesis generation, specifically in terms of phonological processing when reading Chinese orthography. Users of the database can search among over 92,000 words, over 1600 out-of-vocabulary Chinese characters, and 4300 phonological nonwords according to either Chinese orthography, pinyin, or ASCII phonetic script. Users can also generate a list of phonological words and nonwords according to user-defined ranges and categories of lexical characteristics. DoWLS-MAN is available to the public for search or download at https://dowls.site .

Indexed as

LanguagePhoneticsChinaHumansReadingVocabularyLexical databaseMandarin ChineseNetwork phonologyPhonological neighborhood densitySyllable segmentation

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