Hindi Complex Predicates: Linguistic and Computational Approaches

Complex predicates that comprise of a noun and verb e.g. yaad kar 'memory do; remember' are a productive class of multi-words in Hindi. In this thesis, we examine the challenges of identification and representation for these complex predicates in Hindi. We design and implement their representation in a lexical semantic resource as well as in lexicalized computational grammars. As productive multi-word predicates, their accurate identification is a necessity for natural language processing applications. We use a combination of linguistic and computational approaches to address these challenges. We use these methods to demonstrate the semi-automatic creation of subcategorization frames for Hindi and the development of classes for nominal predicates. Finally, we demonstrate how linguistic features and computational tools can be used in tandem to automatically identify complex predicates from unseen text

A rare case of difficulty in diagnosing sickle cell anaemia

Introduction: Sickle cell anaemia is a kind of haemolytic anaemia passed down in families. It is haemolytic anaemia caused by inheriting the sickle haemoglobin gene. Africans, as well as individuals from the Middle East, the Mediterranean region, and India's aboriginal tribes, have a lower level of the sickle haemoglobin (HbS) gene. A kind of anaemia that affects both children and adults is sickle cell anaemia. Clinical finding: For five days, patient has been experiencing generalised bodily pain and anxiety. Examining the problem: ALT (SGPT) - 97 U/L, AST (SGOT) - 56 U/L, total bilirubin - 5.4 mg percent, bilirubin conjugated - 1.7 mg percent, bilirubin unconjugated - 3.7 mg percent, total RBC count - 3.71 million/cu mm, total WBC count - 22100 cu mm, total platelets count - 6.46 lack/cu. Ultrasonography: Heterogeneous spleen. Therapeutic Intervention: Inj. Piptaz 4.5 gm TDS, Inj. Levoflox 500 mg, Tab. Hydroxyurea 500 mg, Tab. Neurobion forte, Inj. Pan 40 mg, Inj. Tramadol 100 mg. Outcome: The client's condition has improved due to the treatment. Patient no longer has generalised bodily aches, anxiety levels have decreased. Conclusion: My patient was admitted to the Medicine ward with a history of sickle cell anaemia and complaints of nonspecific body aches and anxiousness. Patient condition improved after receiving proper therapy

Development of Hot Melt Coating Technique for Taste Masking of Chloroquine Phosphate Tablets

In the present study to mask the unpleasant taste of chloroquine phosphate, hot melt coating technique was used as a taste masking tool. Hot melt coating is a solvent free technology grants rapid, additionally economical coating process with reduced risk of dissolving drug during process and provide uniform application rate of coating agent. Precirol ATO 5 was used as hot melt coating material for taste masking. Tablets were prepared by wet granulation method and coated using hot melt coating technique. Coated tablets exhibited good uniformity of drug content. Amount of drug release from all batches were evaluated. Taste evaluation of hot melt coated tablets was done by using electronic tongue.PrecirolATO5 was found to be a better taste masking agent when used by hot melt coating technique. Keywords: Precirol ATO 5, Hot melt coating, taste masking

Image Processing Based Notice Board Reader Using Raspberry Pi

The main intention behind this paper is to reduce the “Manpower”; hence we are developing a open source audio notice software – A notice board reader with raspberry pi controls. The image processing is used in the proposed system as Image processing is the process of performing mathematical functions and operations of an image. So, this paper presents the implementation of image processing operations on Raspberry Pi. Raspberry Pi features a Broadcom system on a chip (SOC) which includes ARM compatible CPU. This platform is mainly based on python. Most of the access technology tools built for notice board they are built on the two basic building blocks of OCR software and Text-to-Speech (TTS) system. In this paper captured images are converted into the text through the use of OCR and the text files are processed by an open CV library and using E-speak command audio output is achieved

Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions

International audienceWe present edition 1.2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs). Lessons learned from previous editions indicate that VMWEs have low ambiguity, and that the major challenge lies in identifying test instances never seen in the training data. Therefore, this edition focuses on unseen VMWEs. We have split annotated corpora so that the test corpora contain around 300 unseen VMWEs, and we provide non-annotated raw corpora to be used by complementary discovery methods. We released annotated and raw corpora in 14 languages, and this semi-supervised challenge attracted 7 teams who submitted 9 system results. This paper describes the effort of corpus creation, the task design, and the results obtained by the participating systems, especially their performance on unseen expressions

Creación y Simulación de Metodologías de Análisis, Clasificación e Integración de Nuevos Requerimientos a Software Propietario

La priorización de nuevos requerimientos a implementar en un software propietario es un punto fundamental para su mantenimiento, la conservación de la calidad, observación de las reglas de negocio y los estándares de la empresa. Aunque existen herramientas de priorización basadas en técnicas probadas y reconocidas, las mismas requieren una calificación previa de cada requerimiento. Si la empresa cuenta con solicitudes provenientes de varios clientes de un mismo producto, aumentan los factores que afectan a la empresa, las herramientas disponibles no contemplan estos aspectos y hacen mucho más compleja la tarea de calificación. Este trabajo de investigación abarca la realización de un relevamiento de los métodos de priorización y selección de nuevos requerimientos utilizados por empresas de la zona de Rosario, y la definición de una metodología para la selección un nuevo requerimiento, que implica el análisis y evaluación de todas las implicaciones sobre el producto de software y la empresa, respetando sus reglas de negocio. La metodología creada conduce a la definición de los procesos para la construcción de una herramienta de calificación y priorización de nuevos requerimientos en software propietario que tiene solicitudes de varios clientes al mismo tiempo, con instrumentos de calificación que consideran todos los aspectos relacionados, proveerá técnicas de priorización actuales y emitirá informes personalizados según diferentes perspectivas de la empresa.Eje: Ingeniería de SoftwareRed de Universidades con Carreras en Informática (RedUNCI

Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. METHODS: The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised

Productivity and argument sharing in Hindi light verb constructions

Light verb constructions (e.g. give a sigh, take a walk) are a linguistic puzzle, as they consist of two predicating elements in a monoclausal structure. In the theoretical linguistics literature, there has been much interest in the linguistic analysis of such constructions across a range of grammatical frameworks. One such proposal is event co-composition, where the argument structures of noun and light verb merge, resulting in a composite argument structure, which has been shown to incur processing cost in English and German. In contrast to these languages, a larger proportion of the predicates in Hindi are light verb constructions. Hence, we may ask whether a Hindi speaker’s experience with light verb constructions allow them to go through the same co-composition operation faster than a speaker of English. Our results show that Hindi speakers are adept at the process of using light verb constructions to verbalize predicates, much more so than speakers of Germanic languages. We argue that these data provide evidence for a case of specific linguistic experiences shaping cognition: cost disappears with practice