From Text to Reading inEnūma Eliš
نویسندگان
چکیده
منابع مشابه
Predicting Text Relevance from Sequential Reading Behavior
In this paper we show that it is possible to make good predictions of text relevance, from only features of conscious eye movements during reading. We pay special attention to the order in which the lines of text are read, and compute simple features of this sequence. Artificial neural networks are applied to classify the relevance of the read lines. The use of ensemble techniques creates stabl...
متن کاملidentifying the strategies persian efl learners use in reading an expository text in english and examining its relation to reading-proficiency and motivation: a think-aloud study
هدف اصلی از این مطالعه بررسی نوع و میزان استراتژی هایی بود که دانشجویان فارسی زبان رشته ی زبان انگلیسی در حین خواندن یک متن انگلیسی به کار گرفتند. این مطالعه همچنین به بررسی تفاوت های استراتژی های مورد استفاده بین دارندگان سطح بالا و پایین درک مطلب پرداخت. نوع همبستگی بین استراتژی به کار گرفته و درک مطلب از یک سو و استراتژی به کار گرفته و انگیزه از سوی دیگر نیز در این تحقیق مورد آزمایش قرار گرف...
15 صفحه اولReading Text While Driving
In this study, we investigated how drivers adapt secondary-task initiation and time-sharing behavior when faced with fluctuating driving demands. Background: Reading text while driving is particularly detrimental; however, in real-world driving, drivers actively decide when to perform the task. Method: In a test track experiment, participants were free to decide when to read messages while driv...
متن کاملAssessing Reading Comprehension of Expository Text across Different Response Formats
This study investigated if different response formats (test methods) measure reading comprehension of expository text differently. The study was conducted with 48 semester 6 TESL students at a university in Selangor, Malaysia. These students received an expository passage having descriptive rhetorical structure followed by three response formats, namely, incomplete outline, graphic organizer, a...
متن کاملSupervised Mind Reading: Uncovering Text from Neural Data
Often, applications of natural language processing assume a bag-of-words model to represent a sentence or a document, in which each word is treated independent of the remaining words. While sentence models following this assumption may yield satisfactory results when using corpora data, such models fail to capture the integration of words into context. As an essential part of language processin...
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ژورنال
عنوان ژورنال: Journal of Cuneiform Studies
سال: 2017
ISSN: 0022-0256,2325-6737
DOI: 10.5615/jcunestud.69.2017.0221