4 research outputs found
Semantic Frames of the Urdu conjunct verb lagnā : A corpus-based study
No full textIn this corpus-based study we present semantic frames based on principles of FrameNet of Urdu conjunct verb lagnā. In research studies on Urdu while translating from Urdu to English or for a grammatical analysis, lagnā is typically translated in English as ‘attach’ creating a perception that this is its prototypical meaning. However, Online Urdu Dictionary (OUD) shows at least seven different senses in natural language. The sources for the theoretical framework of the study include frame semantics (Fillmore & Atkins, 1992), and polysemic meaning (Traugott& Dasher, 2002). This situates the study in the cognitive linguistic framework. The examples for analysis are extracted from 95.4 million words Urdu monolingual corpus (Jawaid et al., 2014) which can now be accessed using CQPweb . The frequency of occurrence of types of lagnā and observation of concordance lines of extracted examples helps in analysing to what extent the different patterns in which the verb lagnā generates different meanings. The preliminary analysis showed that there are two overarching patterns NOUN+ lagnā and VERB + lagnā. Within these two patterns we observed and analysed twelve semantic frames, of which BEGIN is the most frequent frame followed by TOUCH with the second highest frequency. This analysis also helps in understanding that certain verbs in Urdu also have polysemous use and their meanings are context-dependent that can be established through a corpus-based analysis. This analysis and its findings are especially beneficial for the Urdu language scholars who have an interest in translation studies or (descriptive) grammatical analysis to look for different interpretations as well as integrate semantic frame and corpus methods rather than relying on restrictive meaning of this verb (as well as other polysemous verbs) for a data analysis
Mutations in FRMD7, a newly identified member of the FERM family, cause X-linked idiopathic congenital nystagmus.
No full textIdiopathic congenital nystagmus is characterized by involuntary, periodic, predominantly horizontal oscillations of both eyes. We identified 22 mutations in FRMD7 in 26 families with X-linked idiopathic congenital nystagmus. Screening of 42 singleton cases of idiopathic congenital nystagmus (28 male, 14 females) yielded three mutations (7%). We found restricted expression of FRMD7 in human embryonic brain and developing neural retina, suggesting a specific role in the control of eye movement and gaze stability
Citation Context Analysis Using Combined Feature Embedding and Deep Convolutional Neural Network Model
No full textCitation creates a link between citing and the cited author, and the frequency of citation has been regarded as the basic element to measure the impact of research and knowledge-based achievements. Citation frequency has been widely used to calculate the impact factor, H index, i10 index, etc., of authors and journals. However, for a fair evaluation, the qualitative aspect should be considered along with the quantitative measures. The sentiments expressed in citation play an important role in evaluating the quality of the research because the citation may be used to indicate appreciation, criticism, or a basis for carrying on research. In-text citation analysis is a challenging task, despite the use of machine learning models and automatic sentiment annotation. Additionally, the use of deep learning models and word embedding is not studied very well. This study performs several experiments with machine learning and deep learning models using fastText, fastText subword, global vectors, and their blending for word representation to perform in-text sentiment analysis. A dimensionality reduction technique called principal component analysis (PCA) is utilized to reduce the feature vectors before passing them to the classifier. Additionally, a customized convolutional neural network (CNN) is presented to obtain higher classification accuracy. Results suggest that the deep learning CNN coupled with fastText word embedding produces the best results in terms of accuracy, precision, recall, and F1 measure
Diseño preliminar de una estructura eco-amigable para ser ubicada en las zonas verdes de la Universidad Libre seccional Socorro
No full textSe presentan los resultados del proyecto “Diseño preliminar de una estructura eco-amigable para ser ubicada en las zonas verdes de la Universidad Libre Seccional Socorro” que tuvo como propósito diseñar una construcción sostenible a nivel de materiales y de consumo energético. Dicha construcción se diseñó bajo la metodología de desarrollo de nuevos productos.
Los resultados presentados son: en primer lugar, un análisis basado en criterios de sostenibilidad a través de una matriz de despliegue de la función de calidad (Quality Function Deployment QFD), de una encuesta a la comunidad universitaria donde se indagó sobre sus expectativas y necesidades, así como, la frecuencia de carga de sus dispositivos móviles dentro del campus. En segundo lugar, tres prototipos que fueron diseñados basados en los resultados de dicho análisis, y posteriormente sometidos a votación. En el tercer resultado se listan los materiales elegidos para ser usados en la construcción tras realizar la consulta y evaluación de sus características. Por último, se presenta el diseño del sistema solar fotovoltaico, acorde a la demanda energética.
El modelo de construcción sostenible, resultado de este proyecto, de llegar a construirse, podría llegar a tener un impacto significativo en la forma como actualmente se realizan las construcciones en la región. Asimismo, de implementarse, podría constituirse como un proyecto piloto con potencial para acceder a un sello LEED de construcción sostenible. Una estructura eco-amigable a modo de prueba piloto en la Universidad podría ayudar a promover mejores prácticas de construcción en la región repercutiendo en impactos positivos a nivel social (cultura en torno al tema), ambiental (disminución emisiones CO2) y económico.Universidad Libre Seccional Socorro -- Facultad de Ingenierías y Ciencias Agropecuarias -- Ingeniería AmbientalThe results presented are: First, an analysis based on sustainability criteria through a quality function deployment (QFD), applied to a survey performed to the community to know their expectations and needs. Second, three prototypes based on the results of the previous analysis and subsequently chosen by the community through a poll. Second to last, the materials chosen to be used in the construction after consulting and evaluating their characteristics. And last, the final architectural and photovoltaic designs.
The result of this project could have a significant impact on the way construction is currently carried out in the region, and if it is implemented, it could apply for a label LEED of sustainable buildin
