Human Cognition Lab, CIPsi, School of Psychology, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
Centre for Humanistic Studies, University of Minho, Braga, Portugal.
Behav Res Methods. 2018 Aug;50(4):1461-1481. doi: 10.3758/s13428-018-1058-z.
In this article, we present Procura-PALavras (P-PAL), a Web-based interface for a new European Portuguese (EP) lexical database. Based on a contemporary printed corpus of over 227 million words, P-PAL provides a broad range of word attributes and statistics, including several measures of word frequency (e.g., raw counts, per-million word frequency, logarithmic Zipf scale), morpho-syntactic information (e.g., parts of speech [PoSs], grammatical gender and number, dominant PoS, and frequency and relative frequency of the dominant PoS), as well as several lexical and sublexical orthographic (e.g., number of letters; consonant-vowel orthographic structure; density and frequency of orthographic neighbors; orthographic Levenshtein distance; orthographic uniqueness point; orthographic syllabification; and trigram, bigram, and letter type and token frequencies), and phonological measures (e.g., pronunciation, number of phonemes, stress, density and frequency of phonological neighbors, transposed and phonographic neighbors, syllabification, and biphone and phone type and token frequencies) for ~53,000 lemmatized and ~208,000 nonlemmatized EP word forms. To obtain these metrics, researchers can choose between two word queries in the application: (i) analyze words previously selected for specific attributes and/or lexical and sublexical characteristics, or (ii) generate word lists that meet word requirements defined by the user in the menu of analyses. For the measures it provides and the flexibility it allows, P-PAL will be a key resource to support research in all cognitive areas that use EP verbal stimuli. P-PAL is freely available at http://p-pal.di.uminho.pt/tools .
本文介绍了 Procura-PALavras(P-PAL),这是一个基于网络的新的欧洲葡萄牙语(EP)词汇数据库的界面。基于一个包含超过 2.27 亿单词的当代印刷语料库,P-PAL 提供了广泛的词汇属性和统计数据,包括几个词汇频率度量(例如,原始计数、每百万单词频率、对数 Zipf 比例)、形态句法信息(例如,词性 [PoS]、语法性别和数、主导 PoS、以及主导 PoS 的频率和相对频率),以及几个词汇和次词汇的正字法(例如,字母数;辅音-元音正字法结构;正字法邻居的密度和频率;正字法 Levenshtein 距离;正字法独特性点;正字法音节划分;以及三字母、二字母和字母类型和标记频率)和语音学度量(例如,发音、音素数、重音、语音邻居的密度和频率、转置和语音邻居、音节划分以及双音和音素类型和标记频率),适用于大约 53,000 个词干化和大约 208,000 个非词干化的 EP 单词形式。为了获得这些指标,研究人员可以在应用程序中选择两种单词查询:(i)分析先前为特定属性和/或词汇和次词汇特征选择的单词,或(ii)生成满足用户在分析菜单中定义的单词要求的单词列表。对于它提供的度量和允许的灵活性,P-PAL 将成为支持所有使用 EP 口头刺激的认知领域研究的关键资源。P-PAL 可在 http://p-pal.di.uminho.pt/tools 上免费获得。