In recent years, word associations have played a key role in cognitive research. The goal of this study is to propose a new system called Tarvajeh to construct and analyze the association norms found in the Persian language. In this paper, we present Tarvajeh, a data set for Persian words in a continuous word association task. For data collection, cue words have been categorized into groups and then, 30 of them were presented to each participant in two phases. Afterward, the participants were asked to write the first three words that are related to the initial cue words. After data collection, Tarvajeh included 240 frequent Persian cues and more than 20,000 different responses. Furthermore, we also propose a method that allows participants to compare their responses as well as their subconscious mind with those of their peers using a unique graph that is tailored to their responses and is displayed to them. Finally, we compared our data with those of associated words in other languages. The comparison reveals that, for some cues, most associated words are the same, while for others, the most frequent responses are unique within each data set. In addition, some gender-related differences were observed with male participants spending more time on their responses than female participants.

近年来，单词联想在认知研究中发挥了关键作用。本研究的目标是提出一个名为 Tarvajeh 的新系统来构建和分析在波斯语中发现的关联规范。在本文中，我们介绍了 Tarvajeh，这是一个连续词关联任务中波斯词的数据集。对于数据收集，提示词被分类成组，然后分两个阶段向每个参与者呈现其中的 30 个。之后，参与者被要求写出与初始提示词相关的前三个词。收集数据后，Tarvajeh 包含了 240 个频繁的波斯语提示和 20,000 多个不同的响应。此外，我们还提出了一种方法，允许参与者使用根据他们的反应量身定制并显示给他们的独特图表，将他们的反应以及他们的潜意识与同龄人的反应进行比较。最后，我们将我们的数据与其他语言的相关词数据进行了比较。比较表明，对于某些线索，大多数关联词是相同的，而对于其他线索，最频繁的响应在每个数据集中是唯一的。此外，观察到一些与性别相关的差异，男性参与者比女性参与者花更多的时间在他们的回答上。最常见的响应在每个数据集中都是独一无二的。此外，观察到一些与性别相关的差异，男性参与者比女性参与者花更多的时间在他们的回答上。最常见的响应在每个数据集中都是独一无二的。此外，观察到一些与性别相关的差异，男性参与者比女性参与者花更多的时间在他们的回答上。