Search results for " language processing"
showing 10 items of 415 documents
Where lol is: function and position of lol used as a discourse marker in YouTube comments
2020
Lol is probably one of the most popular words in computer-mediated communication. It is generally taken to be the acronym of “laughing out loud”, but it is not always used to indicate a humorous response; rather, it is multifunctional. Drawing on previous studies of the different functions of lol, this paper explores a possible correlation between the position and function of non-lexicalized lol in the specific context of YouTube comments. The hypothesis is that the function of lol largely depends on its position: clause-initial lol is not used with the same functions as clause-final lol. The data for the study come from the comment threads of three popular YouTube videos posted in 2017, 20…
Graphemic complexity and multiple print-to-sound associations in visual word recognition
2005
Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands It has recently been reported that words containing a multiletter grapheme are processed slower than are words composed of single-letter graphemes (Rastle & Coltheart, 1998; Rey, Jacobs, Schmidt-Weigand, & Ziegler, 1998). In the present study, using a perceptual identification task, we found in Experiment 1 that this graphemic complexity effect can be observed while controlling for multiple print-to-sound associations, indexed by regularity or consistency. In Experiment 2, we obtained cumulative effects of graphemic complexity and regularity. These effects were replicated in Experiment 3 in a naming task. Overall, these r…
The Role of General and Selective Task Instructions on Students’ Processing of Multiple Conflicting Documents
2019
This study was designed to test the role of general and selective task instructions when processing documents, which vary as regards trustworthiness and position toward a conflicting topic. With selective task instructions, we refer to concrete guidelines as how to read the texts and how to select appropriate documents and contents, in contrast to general task instructions. Sixty-one secondary school students were presented with four different conflicting documents in an electronic learning environment and were told to write an essay based on the information from the texts. Only half of the students were told to only use information from two out of the four texts to write their essay (i.e.,…
Drifting through Basic Subprocesses of Reading: A Hierarchical Diffusion Model Analysis of Age Effects on Visual Word Recognition
2016
International audience; Reading is one of the most popular leisure activities and it is routinely performed by most individuals even in old age. Successful reading enables older people to master and actively participate in everyday life and maintain functional independence. Yet, reading comprises a multitude of subprocesses and it is undoubtedly one of the most complex accomplishments of the human brain. Not surprisingly, findings of age-related effects on word recognition and reading have been partly contradictory and are often confined to only one of four central reading subprocesses, i.e., sublexical, orthographic, phonological and lexico-semantic processing. The aim of the present study…
Towards data-driven medical imaging using natural language processing in patients with suspected urolithiasis.
2020
Abstract Objective The majority of radiological reports are still written as free text and lack structure. Further evaluation of free-text reports is difficult to achieve without a great deal of manual effort, and is not possible in everyday clinical practice. This study aims to automatically capture clinical information and positive hit rates from narrative radiological reports of suspected urolithiasis using natural language processing (NLP). Methods Narrative reports of low dose computed tomography (CT) of the retroperitoneum from April 2016 to July 2018 (n = 1714) were analyzed using NLP. These free-text reports were automatically structured based on RadLex concepts. Manual feedback was…
Strength Training: Single Versus Multiple Sets
1999
Using Automatic Morphological Tools to Process Data from a Learner Corpus of Hungarian
2014
The aim of this article is to show how automatic morphological tools originally used to analyze native speaker data can be applied to process data from a learner corpus of Hungarian. We collected written data from 35 students majoring in Hungarian studies at the University of Zagreb, Croatia. The data were analyzed by magyarlanc, a sentence splitter, morphological analyzer, POS-tagger and dependency parser, which found 667 unknown word forms. We investigated the recommendations made by the Hungarian spellchecker hunspell for these unknown words and the correct forms were manually chosen. It was found that if the first suggestion made by hunspell was automatically accepted, an accuracy score…
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
Explaining Causes Behind SQL Query Formulation Errors
2020
This Full Research Paper presents the most prominent query formulation errors in Structured Query Language (SQL), and maps these errors to their cognitive explanations. Understanding query formulation errors is a key to teaching SQL. more effectively. However, studies on what kind of errors novices struggle with are relatively scarce when compared to, for example, programming languages. Although committing errors is a crucial part in learning, some errors are relatively easy to fix, and their commonness is not necessarily an indication of their difficulty. Other errors, however, halt the learning process, and are never fixed by the query writer. Using a previously established error taxonomy…