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Understanding Cohesion in Writings and Speech of Schizophrenia Patients

机译:了解精神分裂症患者写作和言语的凝聚力

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Schizophrenia is one of the mental disorders that impacts a person's thinking, speech, and actions. It can reduce a person’s ability to process auditory information and make decisions. Analyzing this disorder correctly is important because it might help with different ways of reducing its negative effects on its patients. Linguists and psychiatrists have been investigating language impairments and speech disorder in people with schizophrenia disorder which can be challenging. In this study, we attempt to address this issue by analyzing linguistic features i.e. cohesion in the writings and speech scripts of schizophrenia patients. Our results show that using referential cohesion with text easability or situation model features provides the best performance for speech whereas for writing dataset, readability or a combination of situation model and readability yield the best performance.
机译:精神分裂症是影响人的思维,言语和行为的精神障碍之一。它可能会降低一个人处理听觉信息和做出决定的能力。正确分析该疾病很重要,因为它可能会以不同的方式帮助减轻其对患者的负面影响。语言学家和精神科医生一直在研究精神分裂症患者的语言障碍和言语障碍,这可能具有挑战性。在这项研究中,我们试图通过分析语言特征(即精神分裂症患者的写作和言语文字的凝聚力)来解决这个问题。我们的结果表明,将引用内聚与文本易用性或情境模型功能结合使用可为语音提供最佳性能,而在编写数据集时,可读性或情境模型和可读性的组合可获得最佳性能。

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