Search results for " processing"
showing 10 items of 7549 documents
Are You Taking the Fastest Route to the RESTAURANT?
2018
Abstract. Most words in books and digital media are written in lowercase. The primacy of this format has been brought out by different experiments showing that common words are identified faster in lowercase (e.g., molecule) than in uppercase (MOLECULE). However, there are common words that are usually written in uppercase (street signs, billboards; e.g., STOP, PHARMACY). We conducted a lexical decision experiment to examine whether the usual letter-case configuration (uppercase vs. lowercase) of common words modulates word identification times. To this aim, we selected 78 molecule-type words and 78 PHARMACY-type words that were presented in lowercase or uppercase. For molecule-type words,…
Letter-case information and the identification of brand names.
2014
A central tenet of most current models of visual-word recognition is that lexical units are activated on the basis of case-invariant abstract letter representations. Here, we examined this assumption by using a unique type of words: brand names. The rationale of the experiments is that brand names are archetypically printed either in lowercase (e.g., adidas) or uppercase (e.g., IKEA). This allows us to present the brand names in their standard or non-standard case configuration (e.g., adidas, IKEA vs. ADIDAS, ikea, respectively). We conducted two experiments with a brand-decision task (‘is it a brand name?’): a single-presentation experiment and a masked priming experiment. Results in the s…
Image boundaries detection: from thresholding to implicit curve evolution
2014
The development of high dimensional large-scale imaging devices increases the need of fast, robust and accurate image segmentation methods. Due to its intrinsic advantages such as the ability to extract complex boundaries, while handling topological changes automatically, the level set method (LSM) has been widely used in boundaries detection. Nevertheless, their computational complexity limits their use for real time systems. Furthermore, most of the LSMs share the limit of leading very often to a local minimum, while the effectiveness of many computer vision applications depends on the whole image boundaries. In this paper, using the image thresholding and the implicit curve evolution fra…
Architecture-Driven Level Set Optimization: From Clustering to Sub-pixel Image Segmentation
2016
Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for their time consumption problem can be hardware acceleration using some massively parallel devices such as graphics processing units (GPUs). But the question is: which accuracy can we reach while still maintaining an adequate algorithm to massively parallel architecture? In this paper, we attempt to…
Presence phenomena in parkinsonian disorders: Phenomenology and neuropsychological correlates.
2020
Introduction The feeling of a presence that occurs in the absence of objectively identifiable stimuli is common in parkinsonian disorders. Although previously considered benign and insignificant, recent evidence suggests that presence phenomena may act as the gateway to more severe hallucinations and dementia. Despite this, we still know relatively little about these phenomena. Objective To examine parkinsonian disorder patients' subjective experience of presence phenomena, and retrospectively analyse their cognitive correlates, in order to elucidate the emergence of information processing deficits in parkinsonian disorders. Methods/design 25 patients who endorsed presence phenomena were as…
Morphological parsing with lexical transducers : a case study of OMorFi
2016
This thesis explores the task of morphological parsing, which is going from a written word to a representation of the units of meaning making up the word. The research objective is to investigate morphological parsing of Finnish with lexical transducers through a case study of OMorFi (Open Morphology for Finnish). The thesis also presents some linguistic and mathematical background as well as some techniques for constructing FSTs (Finite-State Transducers). The main results are an exposition and some analysis of OMorFi’s paradigms, stubs & stems language model, some comparison with related work and ideas for potential future work.
Applications of Pattern-driven Methods in Corpus Linguistics
2018
The use of corpora has conventionally been envisioned as being either corpus-based or corpus-driven. While the formal definition of the latter term has been widely accepted since it was established by Tognini-Bonelli (2001), it is often applied to studies that do not, in fact, fullfil the fundamental requirement of a theory-neutral starting point. This volume proposes the term pattern-driven as a more precise alternative. The chapters illustrate a variety of methods that fall under this broad methodology, such as the extraction of lexical bundles, POS-grams and semantic frames, and demonstrate how these approaches can uncover new understandings of both synchronic and diachronic linguistic p…
Leksinių samplaikų sąrašo tikslinimas: bandymas taikyti Formulex metodą
2017
A number of corpus studies focusing on the description of the use and functions of lexical bundles havebeen conducted recently in order to explore the phraseology of learner language. As with any studiesof lexical bundles, the problem of overlapping or structurally incomplete items poses a particularchallenge. In practice, it is often difficult to align such units with specific discourse functions. The factthat lexical bundles do not constitute neat form-and-meaning mappings results from, among otherreasons, their being grounded in language use rather than language system. In this pilot study weattempt to test a new method called Formulex (Forsyth, 2015a; 2015b) to verify whether an applica…
LEXOP: a lexical database providing orthography-phonology statistics for French monosyllabic words.
1999
During the last 20 years, psycholinguistic research has identified many variables that influence reading and spelling processes. We describe a new computerized lexical database, LEXOP, which provides quantitative descriptors about the relations between orthography and phonology for French monosyllabic words. Three main classes of variables are considered: consistency of print-to-sound and sound-to-print associations, frequency of orthography-phonology correspondences, and word neighborhood characteristics.
Design, development and validation of a system for automatic help to medical text understanding
2020
Abstract Objective The paper presents a web-based application, SIMPLE, that facilitates medical text comprehension by identifying the health-related terms of a medical text and providing the corresponding consumer terms and explanations. Background The comprehension of a medical text is often a difficult task for laypeople because it requires semantic abilities that can differ from a person to another, depending on his/her health-literacy level. Some systems have been developed for facilitating the comprehension of medical texts through text simplification, either syntactical or lexical. The ones dealing with lexical simplification usually replace the original text and do not provide additi…