LaDEC: Large database of English compounds

The Large Database of English Compounds (LADEC) consists of over 8000 English words that can be parsed into two constituents that are free morphemes. This file contains compounds formed from 3-10 letter long bases. All items are listed in Wordnet as Nouns. The database contains a number of linguistic and psycholinguistic variables including semantic transparency, family size, bigram frequency, sentiment (valence), and word frequency. The database is available in both Stata and CSV formats. Note: Some compounds can be divided in multiple ways (e.g., bakeshop -> bake/shop and bakes/hop). The correct parse is indicated in the variable "correctParse". When using this database please cite the accompanying journal article (full details available at the journal website). Gagné, CL., Spalding, TL., & Schmidtke, D. (2019). LADEC: Large database of English compounds. Behaviour Research Methods. This paper is Open Access and available at: https://link.springer.com/article/10.3758/s13428-019-01282-6 **2020 August 24: Correction re: Valence. The source of the valence measures is not the smaller Warriner et al (2013) database as originally mentioned in the paper. The values came from an extended database of valences that were obtained directly from Dr. Kuperman. When using the valence variables please cite Kuperman, V. (2020, August 26). Modified and expanded norms for valence, arousal and dominance. Retrieved from osf.io/zj3u8

英语复合词大型数据库（Large Database of English Compounds，LADEC）收录了逾8000个可被拆分为两个自由语素的英语单词。本数据集收录的复合词均由长度为3至10个字母的词基构成。所有条目在WordNet中均被标注为名词。该数据库包含多项语言学及心理语言学变量，涵盖语义透明度、词族规模、二元词频、情感效价以及词频等维度。该数据集同时提供Stata与CSV两种格式的文件。
注意：部分复合词存在多种拆分方式（例如bakeshop可拆分为bake/shop或bakes/hop）。正确的拆分方式将在变量"correctParse"中予以标注。
使用本数据集时，请引用随附的期刊论文（完整信息可于期刊官网查询）。
Gagné CL、Spalding TL与Schmidtke D.（2019）。LADEC：英语复合词大型数据库。《行为研究方法（Behaviour Research Methods）》。
该论文为开放获取文章，可通过以下链接获取：https://link.springer.com/article/10.3758/s13428-019-01282-6
**2020年8月24日：效价维度更正说明。** 本研究中效价指标的数据源并非论文最初提及的Warriner等人（2013）的小型数据库，而是直接从Kuperman博士处获取的扩展版效价数据库。若使用效价相关变量，请引用Kuperman V.（2020年8月26日）的研究：《效价、唤醒度与支配度修正扩展常模》，获取链接：osf.io/zj3u8

搜集汇总

背景与挑战

背景概述

LaDEC是一个包含超过8000个英语复合词的大型数据库，所有词均为名词且可解析为两个自由语素，涵盖3-10个字母的基础词。它提供了丰富的语言学和心理语言学变量，包括语义透明度、家族大小、二元组频率、情感效价和词频，数据以Stata和CSV格式提供，适用于复合词研究。