La (autoantonimia) al-ḍdad en las lenguas, según la teoría “el esquema básico de la referencia”

En nuestro artículo, vamos a analizar qué quiere decir de autoantonimia (al-ḍdad), las razones de su aparición en la lengua según las opiniones de los antiguos lingüistas árabes, y, finalmente, vamos a escoger algunas palabras autoantónimas, tanto en la lengua árabe como en la lengua española, dando explicaciones de su aparición según nuestra teoría “el esquema básico de la referencia”, que es una teoría desarrollada a partir del legado árabe y la teoría cognitiva, por eso hemos usado la terminología de la gramática cognitiva. Según esta teoría, el signo lingüístico es la interacción entre cuatro componentes: la percepción, la imaginación, la comprensión y la simbolización. Nuestra teoría pretende ser la base de una lingüística moderna y holística, muy diferente de la lingüística tradicional. Es el primer artículo académico sobre el tema de las palabras autoantónimas en la lengua española.

A Comparative Study of Registration Methods for RGB-D Video of Static Scenes

The use of RGB-D sensors for mapping and recognition tasks in robotics or, in general, for virtual reconstruction has increased in recent years. The key aspect of these kinds of sensors is that they provide both depth and color information using the same device. In this paper, we present a comparative analysis of the most important methods used in the literature for the registration of subsequent RGB-D video frames in static scenarios. The analysis begins by explaining the characteristics of the registration problem, dividing it into two representative applications: scene modeling and object reconstruction. Then, a detailed experimentation is carried out to determine the behavior of the different methods depending on the application. For both applications, we used standard datasets and a new one built for object reconstruction.

The aid of machine learning to overcome the classification of real health discharge reports written in Spanish

Hospitals attached to the Spanish Ministry of Health are currently using the International Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge records. Nowadays, this work is manually done by experts. This paper tackles the automatic classification of real Discharge Records in Spanish following the ICD9-CM standard. The challenge is that the Discharge Records are written in spontaneous language. We explore several machine learning techniques to deal with the classification problem. Random Forest resulted in the most competitive one, achieving an F-measure of 0.876.

An overview of the Applications of Natural Language to Information Systems

This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.

Applying semantic knowledge to the automatic processing of temporal expressions and events in natural language

This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

How to make a natural language interface to query databases accessible to everyone: An example

Natural Language Interfaces to Query Databases (NLIDBs) have been an active research field since the 1960s. However, they have not been widely adopted. This article explores some of the biggest challenges and approaches for building NLIDBs and proposes techniques to reduce implementation and adoption costs. The article describes {AskMe*}, a new system that leverages some of these approaches and adds an innovative feature: query-authoring services, which lower the entry barrier for end users. Advantages of these approaches are proven with experimentation. Results confirm that, even when {AskMe*} is automatically reconfigurable against multiple domains, its accuracy is comparable to domain-specific NLIDBs.

Tackling redundancy in text summarization through different levels of language analysis

One of the main challenges to be addressed in text summarization concerns the detection of redundant information. This paper presents a detailed analysis of three methods for achieving such goal. The proposed methods rely on different levels of language analysis: lexical, syntactic and semantic. Moreover, they are also analyzed for detecting relevance in texts. The results show that semantic-based methods are able to detect up to 90% of redundancy, compared to only the 19% of lexical-based ones. This is also reflected in the quality of the generated summaries, obtaining better summaries when employing syntactic- or semantic-based approaches to remove redundancy.

Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre

In recent years, Twitter has become one of the most important microblogging services of the Web 2.0. Among the possible uses it allows, it can be employed for communicating and broadcasting information in real time. The goal of this research is to analyze the task of automatic tweet generation from a text summarization perspective in the context of the journalism genre. To achieve this, different state-of-the-art summarizers are selected and employed for producing multi-lingual tweets in two languages (English and Spanish). A wide experimental framework is proposed, comprising the creation of a new corpus, the generation of the automatic tweets, and their assessment through a quantitative and a qualitative evaluation, where informativeness, indicativeness and interest are key criteria that should be ensured in the proposed context. From the results obtained, it was observed that although the original tweets were considered as model tweets with respect to their informativeness, they were not among the most interesting ones from a human viewpoint. Therefore, relying only on these tweets may not be the ideal way to communicate news through Twitter, especially if a more personalized and catchy way of reporting news wants to be performed. In contrast, we showed that recent text summarization techniques may be more appropriate, reflecting a balance between indicativeness and interest, even if their content was different from the tweets delivered by the news providers.

Application of the Putting Women First protocol in a study on violence against immigrant women in Spain

In this paper, we describe our experience of using the Putting Women First protocol in the design and implementation of a cross-sectional study on violence against women (VAW) among 1607 immigrant women from Morocco, Ecuador and Romania living in Spain in 2011. The Putting Women First protocol is an ethical guideline for VAW research, which includes recommendations to ensure the safety of the women involved in studies on this subject. The response rate in this study was 59.3%. The prevalence of VAW cases last year was 11.7%, of which 15.6% corresponded to Ecuadorian women, 10.9% to Moroccan women and 8.6% to Romanian women. We consider that the most important goal for future research is the use of VAW scales validated in different languages, which would help to overcome the language barriers encountered in this study.

Building bridges… and properties aplenty: cultural problems in Spanish real estate marketing for prospective British buyers

N.B. reproduced with permission of Peter Lang Verlag. For citation, please, use the original reference, that is Campos Pardillos, M.A. and Balteiro Fernández, I. 2009. “Building bridges… and properties aplenty: cultural problems in Spanish real estate marketing for prospective British buyers”. In: Guillén-Nieto, V., C. Marimón-Llorca and C. Vargas-Sierra. Eds. Intercultural Business Communication and Simulation and Gaming Methodology. Bern: Peter Lang. Pp. 155-174.

Challenges in Lifestyle Migration Research: Reflections and Findings about the Spanish Crisis

The lifestyle migration conceptual framework is based on the motivation for moving reported by the migrants themselves. We discuss the operability of this approach, which is built on the subjective assessments of individuals. It diminishes the actual importance of economic factors and has an underlying ideological element associated with the categorisation of people according to their nationality. A comparative analysis of residential variations by nationalities between 2005 and 2010 in Alicante (Spain) shows that, when faced with the economic crisis, the so-called lifestyle migrants are changing their mobility patterns in a way similar to the rest of the migrants. This calls into question the adequacy of juxtaposing lifestyle and labour migration. Both theory and research show that this duality, instead of clarifying applied research, makes it more difficult. We argue that the lifestyle migration framework is inadequate to study changes in mobility patterns, particularly when using a quantitative approach.

Spanish Nursing Students' Practical Experience of Computer Applications in Nursing

This study aimed to determine the level of computer practical experience in a sample of Spanish nursing students. Each student was given a Spanish language questionnaire, modified from an original used previously with medical students at the Medical School of North Carolina University (USA) and also at the Education Unit of Hospital General Universitario del Mar (Spain). The 10-item self-report questionnaire probed for information about practical experience with computers. A total of 126 students made up the sample. The majority were female (80.2%; n=101). The results showed that just over half (57.1%, n=72) of the students had used a computer game (three or more times before), and that only one third (37.3%, n=47) had the experience of using a word processing package. Moreover, other applications and IT-based facilities (e.g. statistical packages, e-mail, databases, CD-ROM searches, programming languages and computer-assisted learning) had never been used by the majority of students. The student nurses' practical experience was less than that reported for medical students in previous studies.

Motivational profiles Spanish students of Compulsory Secondary Education: Differential analysis of academic self-attributions

Academic goals and academic self-attributions are relevant variables in school settings. The objective of this study is to identify whether there are combinations of multiple goals that lead to different motivational profiles and to determine whether there are significant differences between the groups obtained regarding causal attributions of success and failure (ability, effort, or external causes) in Mathematics and Language and Literature, and in overall academic performance. The Goal Achievement Tendencies Questionnaire (AGTQ) and the Sydney Attribution Scale (SAS) were administered to a sample of 2022 students of compulsory secondary education, ranging in age from 12 to 16 years (M = 13.81, SD = 1.35). Cluster analysis identified four motivational profiles: a group of students with a high generalized motivation profile, a group of students with low generalized motivation profile, a group of students with predominance of learning goals and achievement goals, and a final group of students with predominance of social reinforcement goals. Results revealed statistically significant differences between the profiles obtained in academic self-attributions.

Mechanisms that Trigger a Good Health-Care Response to Intimate Partner Violence in Spain. Combining Realist Evaluation and Qualitative Comparative Analysis Approaches

Background. Health care professionals, especially those working in primary health-care services, can play a key role in preventing and responding to intimate partner violence. However, there are huge variations in the way health care professionals and primary health care teams respond to intimate partner violence. In this study we tested a previously developed programme theory on 15 primary health care center teams located in four different Spanish regions: Murcia, C Valenciana, Castilla-León and Cantabria. The aim was to identify the key combinations of contextual factors and mechanisms that trigger a good primary health care center team response to intimate partner violence. Methods. A multiple case-study design was used. Qualitative and quantitative information was collected from each of the 15 centers (cases). In order to handle the large amount of information without losing familiarity with each case, qualitative comparative analysis was undertaken. Conditions (context and mechanisms) and outcomes, were identified and assessed for each of the 15 cases, and solution formulae were calculated using qualitative comparative analysis software. Results. The emerging programme theory highlighted the importance of the combination of each team’s self-efficacy, perceived preparation and women-centredness in generating a good team response to intimate partner violence. The use of the protocol and accumulated experience in primary health care were the most relevant contextual/intervention conditions to trigger a good response. However in order to achieve this, they must be combined with other conditions, such as an enabling team climate, having a champion social worker and having staff with training in intimate partner violence. Conclusions. Interventions to improve primary health care teams’ response to intimate partner violence should focus on strengthening team’s self-efficacy, perceived preparation and the implementation of a woman-centred approach. The use of the protocol combined with a large working experience in primary health care, and other factors such as training, a good team climate, and having a champion social worker on the team, also played a key role. Measures to sustain such interventions and promote these contextual factors should be encouraged.

The influence of English on Spanish fashion terminology: -ing forms

As has been the case with other European languages, Spanish has welcomed the arrival of English words, in spite of all purist efforts to the contrary. Moreover, it has not only adopted and adapted true Anglicisms but it has also created other forms based on English patterns, such mechanisms particularly visible in the fashion jargon in Spanish. In this paper we focus on -ing forms in the Spanish language of fashion, which may at times be genuine Anglicisms (formal or semantic ones) or false Anglicisms (analogical creations, that is, English-looking lexical elements), found in Spanish editions of fashion magazines such as Vogue, Elle, InStyle, Grazia, Glamour, and Cosmopolitan. The main aim of this study is to qualitatively analyse and classify -ing Anglicisms and false Anglicisms in the aforementioned jargon in order to establish whether the impact of English in the Spanish fashion jargon is so important as to replace native words and expressions.