Search results for "computer.software_genre"
showing 10 items of 3858 documents
Grey matter reduction in the occipitotemporal cortex in Spanish children with dyslexia: A voxel-based morphometry study
2020
Abstract Structural and functional neuroimaging studies have reported brain alterations in occipitotemporal, temporoparietal, and left frontal areas in dyslexic patients. These areas have been linked to reading skill impairments, due to their involvement in word recognition and processing. However, most of the patients in these studies were speakers of languages with a deep orthography. In this study, we used voxel-based morphometry (VBM) to investigate brain differences in grey matter volume associated with a transparent language in a sample of 25 native Spanish participants (13 dyslexic and 12 non-dyslexic children). Results revealed a volume reduction in the left occipitotemporal cortex …
Phrase Frames as an Exploratory Tool for Studying English-to-Polish Translation Patterns: A Descriptive Corpus-Based Study
2020
Designed as a proof-of-concept, this descriptive corpus-based study focuses on the concept of phrase frame, defined as a contiguous sequence of n words identical except for one (Fletcher 2002). Although phrase frames were already used as a means of exploring pattern variability across and within different text types or registers written in English, they have been rarely, if ever, employed so far as a unit of analysis in descriptive research on translation. In this study, we use the English‒Polish parallel corpus Paralela (Pęzik 2016) to identify and describe Polish translation patterns that emerge from two functionally-defined English phrase frames (it is * clear that, it is * difficult to ). …
Justice for All? Issues Faced by Linguistic Minorities and Border Patrol Agents during Interpreted Arraignment Interviews.
2015
The Tijuana (Mexico) - San Ysidro (San Diego County, CA) international border is the world’s busiest port of entry. The US Customs and Border Protection Agency hires over 60,000 employees, 21,000 of whom are agents in the US Border Patrol. Several steps must be taken to become a border patrol agent, but being bilingual is not a pre-requisite. In order to communicate with detainees, and interrogate them, the US Border Patrol Agency hires the services of Telephone Interpreting Companies. In this study I present segments of a 2 hour and fifty minute transcript that captures a typical border patrol agent /detainee interaction facilitated by an ad-hoc interpreter. I examine the power differentia…
MLU and IPSyn measuring absolute complexity
2009
This article compares the results of Mean Length of Utterance (MLU) and Index of Productive Syntax (IPSyn) with the structural complexity of spontaneous utterances produced by 30-month-old Finnish children in a semi-structured playing situation. The comparison was carried out in order to determine the aspects of structural complexity which can be detected with MLU and IPSyn. This research adopts the frameworks of absolute complexity together with a multidimensional view of utterance structure and, furthermore, applies it through Utterance Analysis (UA). The results of the comparison between the metrics and changes in structural complexity discovered by UA reveal that MLU and IPSyn do functi…
Deterministic Linkage as a Preceding Filter for Other Record Linkage Methods
2015
Deterministic record linkage (RL) is frequently regarded as a rival to more sophisticated strategies like probabilistic RL. We investigate the effect of combining deterministic linkage with other linkage techniques. For this task, we use a simple deterministic linkage strategy as a preceding filter: a data pair is classified as ‘match' if all values of attributes considered agree exactly, otherwise as ‘nonmatch'. This strategy is separately combined with two probabilistic RL methods based on the Fellegi–Sunter model and with two classification tree methods (CART and Bagging). An empirical comparison was conducted on two real data sets. We used four different partitions into training data a…
Video-Based Depression Detection Using Local Curvelet Binary Patterns in Pairwise Orthogonal Planes
2016
International audience; Depression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality. This is achieved by modifying the previously proposed algorithm which considers Three-Orthogonal-Planes, to only Pairwise-Ort…
Exploring translation strategies in video game localization
2012
This paper addresses the issue of video game localisation focusing on the different strategies to be used from the point of view of Translation Studies. More precisely, the article explores the possible relation between the translation approaches used in the field and the different genres or textual typologies of video games. As the narrative techniques and the story lines of video games have become more complex and well-developed, the adaptation of games entails a serious challenge for translators. Video games have evolved into multimodal and multidimensional products and new approaches and insights are required when studying the adaptation of games into different cultures. Electronic ente…
A Novel Approach for Faulty Sensor Detection and Data Correction in Wireless Sensor Network
2013
he main Wireless Sensor Networks purpose is represented by areas of interest monitoring. Even if the Wireless sensor network is properly initialized, errors can occur during its monitoring tasks. The present work describes an approach for detecting faulty sensors in Wireless Sensor Network and for correcting their corrupted data. The approach is based on the assumption that exist a spatio-temporal cross- correlations among sensors. Two sequential mathematical tools are used. The first stage is a probabilistic tools, namely Markov Random Field, for a two-fold sensor classification (working or damaged). The last stage is represented by the Locally Weighted Regression model, a learning techniq…
The Engineering of a Compression Boosting Library: Theory vs Practice in BWT Compression
2006
Data Compression is one of the most challenging arenas both for algorithm design and engineering. This is particularly true for Burrows and Wheeler Compression a technique that is important in itself and for the design of compressed indexes. There has been considerable debate on how to design and engineer compression algorithms based on the BWT paradigm. In particular, Move-to-Front Encoding is generally believed to be an "inefficient " part of the Burrows-Wheeler compression process. However, only recently two theoretically superior alternatives to Move-to-Front have been proposed, namely Compression Boosting and Wavelet Trees. The main contribution of this paper is to provide the first ex…
Statistical Modeling of Huffman Tables Coding
2005
An innovative algorithm for automatic generation of Huffman coding tables for semantic classes of digital images is presented. Collecting statistics over a large dataset of corresponding images, we generated Huffman tables for three images classes: landscape, portrait and document. Comparisons between the new tables and the JPEG standard coding tables, using also different quality settings, have shown the effectiveness of the proposed strategy in terms of final bit size (e.g. compression ratio).