Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment
Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment
复制标题
DOI：
10.1016/j.csl.2018.07.005
复制
发表时间：
2019-01-01
影响因子：
4.3
通讯作者：
Kokkinakis, Dimitrios
中科院分区：
文献类型：
--
作者：
Fraser, Kathleen C.;Fors, Kristina Lundholm;Kokkinakis, Dimitrios
我们分析的信息内容的叙事语音样本从个人轻度认知障碍（MCI），在英语和瑞典语，使用监督和无监督学习技术相结合。我们使用在单语和多语言空间中对词嵌入进行训练的主题模型来提取信息单元，并发现多语言方法比单独对目标语言进行训练的分类准确率要高得多。在许多情况下，我们发现用来自不同语言的额外临床数据来增强主题模型训练语料库比用来自健康对照的额外单语数据进行训练更有效。最终，我们能够区分MCI说话者和健康的老年人，仅根据信息内容，准确率高达63%（英语）和72%（瑞典语）。我们还将我们的方法与以前测量阿尔茨海默病信息含量的结果进行了比较，并报告了对其他主题建模方法的改进。此外，我们的研究结果支持这一假设，即语言的细微差异可以在叙事言语中检测到，即使在认知能力下降的早期阶段，当筛选工具（如简易精神状态检查）的分数仍在“正常”范围内时。(C)2018年，作者。由爱思唯尔有限公司发布
We analyze the information content of narrative speech samples from individuals with mild cognitive impairment (MCI), in both English and Swedish, using a combination of supervised and unsupervised learning techniques. We extract information units using topic models trained on word embeddings in monolingual and multilingual spaces, and find that the multilingual approach leads to significantly better classification accuracies than training on the target language alone. In many cases, we find that augmenting the topic model training corpus with additional clinical data from a different language is more effective than training on additional monolingual data from healthy controls. Ultimately we are able to distinguish MCI speakers from healthy older adults with accuracies of up to 63% (English) and 72% (Swedish) on the basis of information content alone. We also compare our method against previous results measuring information content in Alzheimer's disease, and report an improvement over other topic-modeling approaches. Furthermore, our results support the hypothesis that subtle differences in language can be detected in narrative speech, even at the very early stages of cognitive decline, when scores on screening tools such as the Mini-Mental State Exam are still in the "normal" range. (C) 2018 The Authors. Published by Elsevier Ltd.