Language processing and acquisition in languages of Semitic, root-based, morphology / Joseph Shimron

This book addresses a fundamental question in the morphological analysis and representation of Semitic languages—namely, whether Semitic word morphology is root based or word based. As Shimron suggests, “there are reasons to view the templates, not the roots, as the more influential factor in determining Semitic morphology” (p. 5). Yet, as others would argue, there are reasons not to disregard the root-based hypothesis altogether. In the case of Arabic morphology, for example, verbal forms inherently contain three nonlinear levels: the consonantal root, the vowel pattern, and the templatic prosody. This nonlinear feature provided a perfect illustration of what has become termed in the literature as root-and-patterns morphology (McCarthy & Prince, 1986, 1990).

The effects of controlled language processing on listening comprehension and recall

This study seeks to determine the possible interactions between listening proficiency and the state of strategic self-awareness; second, and more importantly, to investigate the effects of learned strategies on listening comprehension and recall; and finally to describe the most common real-time listening comprehension problems faced by EFL learners and to compare the differences between learners with different listening abilities. After ten training sessions, an assessment was made to see whether or not well-learned strategies could provide students with ample opportunity to practice the comprehension and recall processes. The analyses of the data revealed the causes of ineffective low-level processing and provided insights to solve the problems of parsing. Moreover, the study reveals that explicit instruction of cognitive and metacognitive strategies is needed if a syllabus wishes to help learners improve their listening comprehension and become more-proficient at directing their own learning and development as L2 listeners.

Developmental language disorders and adolescent risk: a public-health advocacy role for speech pathologists?

Within the multi-disciplinary team concerned with child and adolescent development, speech pathologists are uniquely positioned to understand the nature and overall developmental significance of language acquisition in childhood and adolescence. Other disciplines contribute valuable insights about psychosocial development during the childhood and adolescent years. The field of developmental psychology, for example provides a large and convincing body of evidence about the role of academic success as a protective factor against a range of psychosocial harms, in particular substance misuse, truancy, early school leaving, and juvenile offending. In this paper, we argue that juvenile offending embodies the notion of "adolescent risk", but in Australia in particular, has been under-investigated with respect to possible associations with developmental language disorders and subsequent academic failure. We present findings pertaining to a sample of 30 male juvenile offenders completing community based orders. Performance on a range of oral language processing and production skills was poorer than that of a demographically similar comparison group. Our results confirm the need to conceptualize language within a broader risk and protective framework. We therefore emphasize the public health importance of early language competence, by virtue of the psychosocial protection it confers on young people with respect to the development of prosocial skills, transition to literacy and overall academic achievement. We argue that speech pathologists are best positioned to advocate at a policy level about the broader public health importance of oral language competence.

Oral language competence, social skills and high-risk boys : what are juvenile offenders trying to tell us?

A cross-sectional study examining the oral language abilities and social skills of male juvenile offenders is described. Fifty juvenile offenders and 50 non-offending controls completed measures of language processing and production, and measures of social skill and IQ. Information about type of offending, substance use histories and learning/literacy problems was also gathered.

Young offenders performed significantly worse on all language and social skill measures, but these differences could not be accounted for on the basis of IQ. Just over half of the young offenders were identified as language impaired. This subgroup was compared with non-language impaired offending peers on a range of variables. The findings have particular implications in the areas of early intervention for high-risk boys and investigative interviewing of juvenile offenders.

Using linear programming for weights identification of generalized bonferroni means in R

The generalized Bonferroni mean is able to capture some interaction effects between variables and model mandatory requirements. We present a number of weights identification algorithms we have developed in the R programming language in order to model data using the generalized Bonferroni mean subject to various preferences. We then compare its accuracy when fitting to the journal ranks dataset.

Acoustic features extraction for emotion recognition

In the last decade, the efforts of spoken language processing have achieved significant advances, however, the work with emotional recognition has not progressed so far, and can only achieve 50% to 60% in accuracy. This is because a majority of researchers in this field have focused on the synthesis of emotional speech rather than focusing on automating human emotion recognition. Many research groups have focused on how to improve the performance of the classifier they used for emotion recognition, and few work has been done on data pre-processing, such as the extraction and selection of a set of specifying acoustic features instead of using all the possible ones they had in hand. To work with well-selected acoustic features does not mean to delay the whole job, but this will save much time and resources by removing the irrelative information and reducing the high-dimension data calculation. In this paper, we developed an automatic feature selector based on a RF2TREE algorithm and the traditional C4.5 algorithm. RF2TREE applied here helped us to solve the problems that did not have enough data examples. The ensemble learning technique was applied to enlarge the original data set by building a bagged random forest to generate many virtual examples, and then the new data set was used to train a single decision tree, which selects the most efficient features to represent the speech signals for the emotion recognition. Finally, the output of the selector was a set of specifying acoustic features, produced by RF2TREE and a single decision tree.

Priming vs. rhyming : orthographic and phonological representations in the left and right hemispheres

The right cerebral hemisphere has long been argued to lack phonological processing capacity. Recently, however, a sex difference in the cortical representation of phonology has been proposed, suggesting discrete left hemisphere lateralization in males and more distributed, bilateral representation of function in females. To evaluate this hypothesis and shed light on sex differences in the phonological processing capabilities of the left and right hemispheres, we conducted two experiments. Experiment 1 assessed phonological activation implicitly (masked homophone priming), testing 52 (M = 25, F = 27; mean age 19.23 years, SD 1.64 years) strongly right-handed participants. Experiment 2 subsequently assessed the explicit recruitment of phonology (rhyme judgement), testing 50 (M = 25, F = 25; mean age 19.67 years, SD 2.05 years) strongly right-handed participants. In both experiments the orthographic overlap between stimulus pairs was strictly controlled using DICE [Brew, C., & McKelvie, D. (1996). Word-pair extraction for lexicography. In K. Oflazer & H. Somers (Eds.), Proceedings of the second international conference on new methods in language processing (pp. 45–55). Ankara: VCH], such that pairs shared (a) high orthographic and phonological similarity (e.g., not–KNOT); (b) high orthographic and low phonological similarity (e.g., pint–HINT); (c) low orthographic and high phonological similarity (e.g., use–EWES); or (d) low orthographic and low phonological similarity (e.g., kind–DONE). As anticipated, high orthographic similarity facilitated both left and right hemisphere performance, whereas the left hemisphere showed greater facility when phonological similarity was high. This difference in hemispheric processing of phonological representations was especially pronounced in males, whereas female performance was far less sensitive to visual field of presentation across both implicit and explicit phonological tasks. As such, the findings offer behavioural evidence indicating that though both hemispheres are capable of orthographic analysis, phonological processing is discretely lateralised to the left hemisphere in males, but available in both the left and right hemisphere in females.

Strategic knowledge for the identification and construction of goal states

There is widespread recognition that goal recognition strategies, in the context of structural analysis and cognitive (user) models, represent a major field of contemporary research into discourse understanding. This thesis reports a goal interpretation paradigm that embraces both a novel goal structure formalism and strategic knowledge. The goal interpretation processes involve the identification of goal primitives and the construction of goal states. The mechanisms developed for goal interpretation rely on explicit goal recognition (selection) and confirmation of feasibility. A goal state contains all the information required by the planner. By constructing a goal state, the chance of failure in planning is greatly reduced and the efficiency of the planning system is vastly improved. These mechanisms are not limited to inference. Other mechanisms are reported include goal structure processing, goal primitives identification and searching strategies, extended heuristic classification method and a new conceptual graph operation (i.e. SPLIT).

Reduced planum temporale volume and delusional behaviour in patients with schizophrenia

The structural abnormality of planum temporale (PT), a part of the superior temporal heteromodal association cortex involved in auditory and language processing, has been implicated in the pathophysiology of schizophrenia. However, its relationship to clinical manifestations remains unclear. Magnetic resonance images were obtained from 17 right-handed Japanese men with schizophrenia and from 22 age-, handedness-, and parental socioeconomic-status-matched healthy Japanese men in order to manually evaluate grey matter volumes of Heschl’s gyrus (HG) and PT. Psychiatric symptoms were assessed using positive and negative syndrome scale among the patients. Compared with healthy participants, patients with schizophrenia were associated with a statistically significant PT grey matter volume reduction without left or right lateralization, whereas HG volume was preserved. Smaller right PT volume was significantly correlated with more severe delusional behaviour in the patients. Previous investigations have focused on smaller-than-normal left PT in the pathophysiology of schizophrenia; however, the present results suggest a possible role of the right PT, which is involved in social cognition such as understanding the intentions of others, in the production of psychotic experiences in patients with schizophrenia.

An improved TIGER2 implementation for NAMD suitable for the Blue Gene architecture

Here we present an improved implementation of the TIGER2 Replica Exchange Molecular Dynamics (REMD) method, using the replica exchange Application Programming Interface (API) found in contemporary versions of the NAMD Molecular Dynamics Package. The implementation takes the form of a TCL script which is used in conjunction with the standard configuration file. This implementation is validated against a previous TIGER2 implementation, as well as data reported for the original TIGER2 simulations. Our implementation is compatible with a range of architectures; crucially it enables the use of this wrapper with the BlueGene/Q architecture, in addition to the x86 architecture. Program summary: Program title: TIGER2-NAMD. Catalogue identifier: AEWC_v1_0. Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEWC_v1_0.html Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland. Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 34151. No. of bytes in distributed program, including test data, etc.: 424217. Distribution format: tar.gz. Programming language: Tcl 8.5. Computer: x86 Clusters, BlueGene/Q, Workstations. Operating system: Linux, IBM Compute Node Kernel. Has the code been vectorised or parallelised?: Yes. MPI Parallelism. Classification: 3. External routines: NAMD 2.9 (http://www.ks.uiuc.edu/Research/namd/). Nature of problem: Replica Exchange Molecular Dynamics. Solution method: Each replica runs through multiple cycles of heating and cooling with exchanges between them being attempted. Running time: Typically 30 mins, up to an hour.

Identifying emerging hotel preferences using emerging pattern mining technique

Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences.

An experimental study on the failure tolerant control of a redundant planar serial manipulator via pseudo-inverse approach

In this paper, fault-tolerant control of redundant planar serial manipulators has been investigated experimentally via an offline method called psuedo-inverse reconfiguration method. Minimizing the end-effector's velocity jump via an optimal mapping of joint failures into healthy joints velocity space can be regarded as the main contribution of this reconfiguration approach. This algorithm has been simulated and implemented on a four-link serial manipulator named as TaArm. It should be mentioned that for simulation and practical tests, C++ programming language in QtCreator environment has been used which provided high computational speed. Two scenarios has been selected for simulation and implementation studies and results shows that the algorithm considerably removes the velocity jump of the end-effector in both simulation and experimetal studies.