A Fuzzy Decision Strategy for Topic Identification and Dynamic Selection of Language Models

International audience

Du terme prédicatif au cadre sémantique : méthodologie de compilation d'une ressource terminologique pour les termes arabes de l'informatique

La description des termes dans les ressources terminologiques traditionnelles se limite à certaines informations, comme le terme (principalement nominal), sa définition et son équivalent dans une langue étrangère. Cette description donne rarement d’autres informations qui peuvent être très utiles pour l’utilisateur, surtout s’il consulte les ressources dans le but d’approfondir ses connaissances dans un domaine de spécialité, maitriser la rédaction professionnelle ou trouver des contextes où le terme recherché est réalisé. Les informations pouvant être utiles dans ce sens comprennent la description de la structure actancielle des termes, des contextes provenant de sources authentiques et l’inclusion d’autres parties du discours comme les verbes. Les verbes et les noms déverbaux, ou les unités terminologiques prédicatives (UTP), souvent ignorés par la terminologie classique, revêtent une grande importance lorsqu’il s’agit d’exprimer une action, un processus ou un évènement. Or, la description de ces unités nécessite un modèle de description terminologique qui rend compte de leurs particularités. Un certain nombre de terminologues (Condamines 1993, Mathieu-Colas 2002, Gross et Mathieu-Colas 2001 et L’Homme 2012, 2015) ont d’ailleurs proposé des modèles de description basés sur différents cadres théoriques. Notre recherche consiste à proposer une méthodologie de description terminologique des UTP de la langue arabe, notamment l’arabe standard moderne (ASM), selon la théorie de la Sémantique des cadres (Frame Semantics) de Fillmore (1976, 1977, 1982, 1985) et son application, le projet FrameNet (Ruppenhofer et al. 2010). Le domaine de spécialité qui nous intéresse est l’informatique. Dans notre recherche, nous nous appuyons sur un corpus recueilli du web et nous nous inspirons d’une ressource terminologique existante, le DiCoInfo (L’Homme 2008), pour compiler notre propre ressource. Nos objectifs se résument comme suit. Premièrement, nous souhaitons jeter les premières bases d’une version en ASM de cette ressource. Cette version a ses propres particularités : 1) nous visons des unités bien spécifiques, à savoir les UTP verbales et déverbales; 2) la méthodologie développée pour la compilation du DiCoInfo original devra être adaptée pour prendre en compte une langue sémitique. Par la suite, nous souhaitons créer une version en cadres de cette ressource, où nous regroupons les UTP dans des cadres sémantiques, en nous inspirant du modèle de FrameNet. À cette ressource, nous ajoutons les UTP anglaises et françaises, puisque cette partie du travail a une portée multilingue. La méthodologie consiste à extraire automatiquement les unités terminologiques verbales et nominales (UTV et UTN), comme Ham~ala (حمل) (télécharger) et taHmiyl (تحميل) (téléchargement). Pour ce faire, nous avons adapté un extracteur automatique existant, TermoStat (Drouin 2004). Ensuite, à l’aide des critères de validation terminologique (L’Homme 2004), nous validons le statut terminologique d’une partie des candidats. Après la validation, nous procédons à la création de fiches terminologiques, à l’aide d’un éditeur XML, pour chaque UTV et UTN retenue. Ces fiches comprennent certains éléments comme la structure actancielle des UTP et jusqu’à vingt contextes annotés. La dernière étape consiste à créer des cadres sémantiques à partir des UTP de l’ASM. Nous associons également des UTP anglaises et françaises en fonction des cadres créés. Cette association a mené à la création d’une ressource terminologique appelée « DiCoInfo : A Framed Version ». Dans cette ressource, les UTP qui partagent les mêmes propriétés sémantiques et structures actancielles sont regroupées dans des cadres sémantiques. Par exemple, le cadre sémantique Product_development regroupe des UTP comme Taw~ara (طور) (développer), to develop et développer. À la suite de ces étapes, nous avons obtenu un total de 106 UTP ASM compilées dans la version en ASM du DiCoInfo et 57 cadres sémantiques associés à ces unités dans la version en cadres du DiCoInfo. Notre recherche montre que l’ASM peut être décrite avec la méthodologie que nous avons mise au point.

Industry Linkages and Audit Firms' Industry Portfolio Choice: Evidence from Product Language

Audit firms are organized along industry lines and industry specialization is a prominent feature of the audit market. Yet, we know little about how audit firms make their industry portfolio decisions, i.e., how audit firms decide which set of industries to specialize in. In this study, I examine how the linkages between industries in the product space affect audit firms’ industry portfolio choice. Using text-based product space measures to capture these industry linkages, I find that both Big 4 and small audit firms tend to specialize in industry-pairs that 1) are close to each other in the product space (i.e., have more similar product language) and 2) have a greater number of “between-industries” in the product space (i.e., have a greater number of industries with product language that is similar to both industries in the pair). Consistent with the basic tradeoff between specialization and coordination, these results suggest that specializing in industries that have more similar product language and more linkages to other industries in the product space allow audit firms greater flexibility to transfer industry-specific expertise across industries as well as greater mobility in the product space, hence enhancing its competitive advantage. Additional analysis using the collapse of Arthur Andersen as an exogenous supply shock in the audit market finds consistent results. Taken together, the findings suggest that industry linkages in the product space play an important role in shaping the audit market structure.

THE ROLE OF RULES, EXAMPLES AND INDIVIDUAL DIFFERENCES IN THE ACQUISITION OF DECLARATIVE AND PROCEDURAL SECOND LANGUAGE KNOWLEDGE

The relevance of explicit instruction has been well documented in SLA research. Despite numerous positive findings, however, the issue continues to engage scholars worldwide. One issue that was largely neglected in previous empirical studies - and one that may be crucial for the effectiveness of explicit instruction - is the timing and integration of rules and practice. The present study investigated the extent to which grammar explanation (GE) before practice, grammar explanation during practice, and individual differences impact the acquisition of L2 declarative and procedural knowledge of two grammatical structures in Spanish. In this experiment, 128 English-speaking learners of Spanish were randomly assigned to four experimental treatments and completed comprehension-based task-essential practice for interpreting object-verb (OV) and ser/estar (SER) sentences in Spanish. Results confirmed the predicted importance of timing of GE: participants who received GE during practice were more likely to develop and retain their knowledge successfully. Results further revealed that the various combinations of rules and practice posed differential task demands on the learners and consequently drew on language aptitude and WM to a different extent. Since these correlations between individual differences and learning outcomes were the least observed in the conditions that received GE during practice, we argue that the suitable integration of rules and practice ameliorated task demands, reducing the burden on the learner, and accordingly mitigated the role of participants’ individual differences. Finally, some evidence also showed that the comprehension practice that participants received for the two structures was not sufficient for the formation of solid productive knowledge, but was more effective for the OV than for the SER construction.

Development of a new wine tasting method based on emotional responses

Mestrado Vinifera Euromaster - Instituto Superior de Agronomia - UL

Reading keys in the communication of wine in China. Wine marketing strategies

Mestrado Vinifera Euromaster - Instituto Superior de Agronomia - UL

Perceived benefits, motivations and preferences for foreign language learning by older adults. Insights from an initiative in Cuenca, Ecuador

El presente estudio analiza las percepciones y actitudes que tienen los adultos mayores de la ciudad de Cuenca, Ecuador hacia el aprendizaje del inglés. Un total de 151 adultos mayores (con edad promedio de 70.3 años) respondió a un cuestionario con 50 ítems. Se llevó a cabo análisis factoriales, de regresión múltiple y cluster con el propósito de definir las dimensiones subyacentes en las percepciones, motivaciones y ambiciones de los adultos mayores para aprender un idioma extranjero, y su relación con las características sociodemográficas de los participantes. Los resultados señalan que el interés por estudiar un idioma extranjero está basado en la percepción de que aquello mejora la interacción social de las personas, su desarrollo personal, el funcionamiento y mantenimiento de la mente y memoria, y que activa y vuelve su vida más dinámica. Los resultados además revelaron que la principal motivación de los participantes para tomar un curso de inglés está relacionada con el potencial de usar este idioma en la vida diaria y el de leer profusamente en esa lengua extranjera. La duración del curso y la obtención de un certificado fueron factores determinantes que permitieron agrupar a los participantes en función de sus preferencias en lo que respecta al diseño práctico de un curso de inglés. Adicionalmente, la edad y el nivel de instrucción fueron variables determinantes de motivación que influyeron en la mayor parte de las respuestas dadas por los participantes.

Constructivism and ICTs to Improve Language Skills

Se examina la experiencia de los estudiantes y los profesores de dos grupos de un curso de Elocución con el uso de las Tecnologías de la Información y la Comunicación (TICs), para mejorar sus habilidades de expresión oral en inglés. Se presenta el diseño del curso y la metodología en la cual se fundamentó, así como las apreciaciones de los trabajos de estos a lumnos a la hora de mejorar las habilidades comunicativas orales por medio del enfoque constructivista. Se incluyen recomendaciones para poner en práctica esta metodología.A description is provided here of the experience of the students and teachers of two Elocution courses in which Information and Communication Technologies (ICTs) were used to improve oral communication skills in English. Reference is made to the design of the course and the methodology it is based on, together with some insights of the assignments that students did to improve their English speaking skills through the constructivism approach. Recommendations are also provided for others interested in using this type of methodology.

All Is not English that Glitters: False Anglicisms in the Spanish Language of Sports

Over the past decades, many studies have dealt with Anglicisms in Spanish, not only in science and technology, but also in other areas such as business, fashion and even sports. However, in spite of the large number of works on Spanish Anglicisms in sports, these have often disregarded the distinction between Anglicisms and false Anglicisms. Given their importance as evidence of the particular relationships between languages, this article focuses on the use of false Anglicisms in the Spanish language of sports, which has not only adopted English words giving them new meanings and usage, but has also either imported items with an English appearance from other languages or created its own forms based on English patterns. Although these false Anglicisms, which have proven extremely popular in various European languages (not only Spanish), have frequently been used and disseminated, as some examples will prove, little attention has been paid to their differences with the English term or their non-English origin.

EFFECTIVE FUNCTION CHOICE IN THE R SCRIPTING LANGUAGE

This project examines the current available work on the explicit and implicit parallelization of the R scripting language and reports on experimental findings for the development of a model for predicting effective points for automatic parallelization to be performed, based upon input data sizes and function complexity. After finding or creating a series of custom benchmarks, an interval based on data size and time complexity where replacement becomes a viable option was found; specifically between O(N) and O(N3) exclusive. As data size increases, the benefits of parallel processing become more apparent and a point is reached where those benefits outweigh the costs in memory transfer time. Based on our observations, this point can be predicted with a fair amount of accuracy using regression on a sample of approximately ten data sizes spread evenly between a system determined minimum and maximum size.

A Comparison of the Effects of Classroom and Multi-User Virtual Environments on the Perceived Speaking Anxiety of Adult Post-Secondary English Language Learners

The population of English Language Learners (ELLs) globally has been increasing substantially every year. In the United States alone, adult ELLs are the fastest growing portion of learners in adult education programs (Yang, 2005). There is a significant need to improve the teaching of English to ELLs in the United States and other English-speaking dominant countries. However, for many ELLs, speaking, especially to Native English Speakers (NESs), causes considerable language anxiety, which in turn plays a vital role in hindering their language development and academic progress (Pichette, 2009; Woodrow, 2006). Task-based Language Teaching (TBLT), such as simulation activities, has long been viewed as an effective approach for second-language development. The current advances in technology and rapid emergence of Multi-User Virtual Environments (MUVEs) have provided an opportunity for educators to consider conducting simulations online for ELLs to practice speaking English to NESs. Yet to date, empirical research on the effects of MUVEs on ELLs’ language development and speaking is limited (Garcia-Ruiz, Edwards, & Aquino-Santos, 2007). This study used a true experimental treatment control group repeated measures design to compare the perceived speaking anxiety levels (as measured by an anxiety scale administered per simulation activity) of 11 ELLs (5 in the control group, 6 in the experimental group) when speaking to Native English Speakers (NESs) during 10 simulation activities. Simulations in the control group were done face-to-face, while those in the experimental group were done in the MUVE of Second Life. The results of the repeated measures ANOVA revealed after the Huynh-Feldt epsilon correction, demonstrated for both groups a significant decrease in anxiety levels over time from the first simulation to the tenth and final simulation. When comparing the two groups, the results revealed a statistically significant difference, with the experimental group demonstrating a greater anxiety reduction. These results suggests that language instructors should consider including face-to-face and MUVE simulations with ELLs paired with NESs as part of their language instruction. Future investigations should investigate the use of other multi-user virtual environments and/or measure other dimensions of the ELL/NES interactions.

Funtional Near Infrared Spectroscopy Study of Language, Joint Attention and Motor Skills

Near infrared spectroscopy (NIRS) is an emerging non-invasive optical neuro imaging technique that monitors the hemodynamic response to brain activation with ms-scale temporal resolution and sub-cm spatial resolution. The overall goal of my dissertation was to develop and apply NIRS towards investigation of neurological response to language, joint attention and planning and execution of motor skills in healthy adults. Language studies were performed to investigate the hemodynamic response, synchrony and dominance feature of the frontal and fronto-temporal cortex of healthy adults in response to language reception and expression. The mathematical model developed based on granger causality explicated the directional flow of information during the processing of language stimuli by the fronto-temporal cortex. Joint attention and planning/ execution of motor skill studies were performed to investigate the hemodynamic response, synchrony and dominance feature of the frontal cortex of healthy adults and in children (5-8 years old) with autism (for joint attention studies) and individuals with cerebral palsy (for planning/execution of motor skills studies). The joint attention studies on healthy adults showed differences in activation as well as intensity and phase dependent connectivity in the frontal cortex during joint attention in comparison to rest. The joint attention studies on typically developing children showed differences in frontal cortical activation in comparison to that in children with autism. The planning and execution of motor skills studies on healthy adults and individuals with cerebral palsy (CP) showed difference in the frontal cortical dominance, that is, bilateral and ipsilateral dominance, respectively. The planning and execution of motor skills studies also demonstrated the plastic and learning behavior of brain wherein correlation was found between the relative change in total hemoglobin in the frontal cortex and the kinematics of the activity performed by the participants. Thus, during my dissertation the NIRS neuroimaging technique was successfully implemented to investigate the neurological response of language, joint attention and planning and execution of motor skills in healthy adults as well as preliminarily on children with autism and individuals with cerebral palsy. These NIRS studies have long-term potential for the design of early stage interventions in children with autism and customized rehabilitation in individuals with cerebral palsy.

Network Construction and Graph Theoretical Analysis of Functional Language Networks in Pediatric Epilepsy

This dissertation introduces a new approach for assessing the effects of pediatric epilepsy on the language connectome. Two novel data-driven network construction approaches are presented. These methods rely on connecting different brain regions using either extent or intensity of language related activations as identified by independent component analysis of fMRI data. An auditory description decision task (ADDT) paradigm was used to activate the language network for 29 patients and 30 controls recruited from three major pediatric hospitals. Empirical evaluations illustrated that pediatric epilepsy can cause, or is associated with, a network efficiency reduction. Patients showed a propensity to inefficiently employ the whole brain network to perform the ADDT language task; on the contrary, controls seemed to efficiently use smaller segregated network components to achieve the same task. To explain the causes of the decreased efficiency, graph theoretical analysis was carried out. The analysis revealed no substantial global network feature differences between the patient and control groups. It also showed that for both subject groups the language network exhibited small-world characteristics; however, the patient’s extent of activation network showed a tendency towards more random networks. It was also shown that the intensity of activation network displayed ipsilateral hub reorganization on the local level. The left hemispheric hubs displayed greater centrality values for patients, whereas the right hemispheric hubs displayed greater centrality values for controls. This hub hemispheric disparity was not correlated with a right atypical language laterality found in six patients. Finally it was shown that a multi-level unsupervised clustering scheme based on self-organizing maps, a type of artificial neural network, and k-means was able to fairly and blindly separate the subjects into their respective patient or control groups. The clustering was initiated using the local nodal centrality measurements only. Compared to the extent of activation network, the intensity of activation network clustering demonstrated better precision. This outcome supports the assertion that the local centrality differences presented by the intensity of activation network can be associated with focal epilepsy.

Early hearing loss and language abilities in children with Down syndrome

BACKGROUND: Although many children with Down syndrome experience hearing loss, there has been little research to investigate its impact on speech and language development. Studies that have investigated the association give inconsistent results. These have often been based on samples where children with the most severe hearing impairments have been excluded and so results do not generalize to the wider population with Down syndrome. Also, measuring children's hearing at the time of a language assessment does not take into account the fluctuating nature of hearing loss in children with Down syndrome or possible effects of losses in their early years. AIMS: To investigate the impact of early hearing loss on language outcomes for children with Down syndrome. METHODS & PROCEDURES: Retrospective audiology clinic records and parent report for 41 children were used to categorize them as either having had hearing difficulties from 2 to 4 years or more normal hearing. Differences between the groups on measures of language expression and comprehension, receptive vocabulary, a narrative task and speech accuracy were investigated. OUTCOMES & RESULTS: After accounting for the contributions of chronological age and nonverbal mental age to children's scores, there were significant differences between the groups on all measures. CONCLUSIONS & IMPLICATIONS: Early hearing loss has a significant impact on the speech and language development of children with Down syndrome. Results suggest that speech and language therapy should be provided when children are found to have ongoing hearing difficulties and that joint audiology and speech and language therapy clinics could be considered for preschool children.

Intersubjectivity and sentiment:from language to knowledge

Intersubjectivity is an important concept in psychology and sociology. It refers to sharing conceptualizations through social interactions in a community and using such shared conceptualization as a resource to interpret things that happen in everyday life. In this work, we make use of intersubjectivity as the basis to model shared stance and subjectivity for sentiment analysis. We construct an intersubjectivity network which links review writers, terms they used, as well as the polarities of the terms. Based on this network model, we propose a method to learn writer embeddings which are subsequently incorporated into a convolutional neural network for sentiment analysis. Evaluations on the IMDB, Yelp 2013 and Yelp 2014 datasets show that the proposed approach has achieved the state-of-the-art performance.