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Smart_PV: A Software Application for Managing English Phrasal Verbs

[Smart_PV: Una aplicación de software para la gestión de verbos frasales en inglés]

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Date
2012
Author
Manrique Losada, Bell
Moreno Arboleda, Francisco
Orrego Gil, Guillermo
Manrique Losada, Bell; Universidad de Medellín
Moreno Arboleda, Francisco; Universidad Nacional de Colombia
Orrego Gil, Guillermo; Universidad Nacional de Colombia

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TY - GEN T1 - Smart_PV: A Software Application for Managing English Phrasal Verbs T1 - [Smart_PV: Una aplicación de software para la gestión de verbos frasales en inglés] AU - Manrique Losada, Bell AU - Moreno Arboleda, Francisco AU - Orrego Gil, Guillermo Y1 - 2012 UR - http://hdl.handle.net/11407/3407 PB - Universidad de Antioquia AB - Phrasal verbs (PVs) are lexical units consisting of a verb and one or two particles. In this paper we present a characterization of English PVs. This characterization serves as the backbone for our web application called Smart_PV. The purpose of Smart_PV is twofold: i) to allow the input of PVs and ii) to detect PVs in texts. We designed web interfaces to register the PVs with their features and to detect PVs in the texts as follows: the user enters the text and starts the PVs detection process by splitting the text into words. Smart_PV was validated inserting 80 PVs (including the 25 most common PVs in documents of the European Union) and detecting PVs in texts from different domains. Our results show the expediency of this kind of applications for teachers, students, translators, and common users, as a tool to support translation and text mining tasks. Although a database with more PVs and the analysis of more documents are required, our results demonstrate the feasibility and usefulness of our application. ER - @misc{11407_3407, author = {Manrique Losada Bell and Moreno Arboleda Francisco and Orrego Gil Guillermo}, title = {Smart_PV: A Software Application for Managing English Phrasal Verbs[Smart_PV: Una aplicación de software para la gestión de verbos frasales en inglés]}, year = {2012}, abstract = {Phrasal verbs (PVs) are lexical units consisting of a verb and one or two particles. In this paper we present a characterization of English PVs. This characterization serves as the backbone for our web application called Smart_PV. The purpose of Smart_PV is twofold: i) to allow the input of PVs and ii) to detect PVs in texts. We designed web interfaces to register the PVs with their features and to detect PVs in the texts as follows: the user enters the text and starts the PVs detection process by splitting the text into words. Smart_PV was validated inserting 80 PVs (including the 25 most common PVs in documents of the European Union) and detecting PVs in texts from different domains. Our results show the expediency of this kind of applications for teachers, students, translators, and common users, as a tool to support translation and text mining tasks. Although a database with more PVs and the analysis of more documents are required, our results demonstrate the feasibility and usefulness of our application.}, url = {http://hdl.handle.net/11407/3407} }RT Generic T1 Smart_PV: A Software Application for Managing English Phrasal Verbs T1 [Smart_PV: Una aplicación de software para la gestión de verbos frasales en inglés] A1 Manrique Losada, Bell A1 Moreno Arboleda, Francisco A1 Orrego Gil, Guillermo YR 2012 LK http://hdl.handle.net/11407/3407 PB Universidad de Antioquia AB Phrasal verbs (PVs) are lexical units consisting of a verb and one or two particles. In this paper we present a characterization of English PVs. This characterization serves as the backbone for our web application called Smart_PV. The purpose of Smart_PV is twofold: i) to allow the input of PVs and ii) to detect PVs in texts. We designed web interfaces to register the PVs with their features and to detect PVs in the texts as follows: the user enters the text and starts the PVs detection process by splitting the text into words. Smart_PV was validated inserting 80 PVs (including the 25 most common PVs in documents of the European Union) and detecting PVs in texts from different domains. Our results show the expediency of this kind of applications for teachers, students, translators, and common users, as a tool to support translation and text mining tasks. Although a database with more PVs and the analysis of more documents are required, our results demonstrate the feasibility and usefulness of our application. OL Spanish (121)
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Abstract
Phrasal verbs (PVs) are lexical units consisting of a verb and one or two particles. In this paper we present a characterization of English PVs. This characterization serves as the backbone for our web application called Smart_PV. The purpose of Smart_PV is twofold: i) to allow the input of PVs and ii) to detect PVs in texts. We designed web interfaces to register the PVs with their features and to detect PVs in the texts as follows: the user enters the text and starts the PVs detection process by splitting the text into words. Smart_PV was validated inserting 80 PVs (including the 25 most common PVs in documents of the European Union) and detecting PVs in texts from different domains. Our results show the expediency of this kind of applications for teachers, students, translators, and common users, as a tool to support translation and text mining tasks. Although a database with more PVs and the analysis of more documents are required, our results demonstrate the feasibility and usefulness of our application.
 
Los verbos frasales (VF) son unidades léxicas conformadas por un verbo y una o dos partículas. En este artículo se presenta una caracterización para los VF en inglés, la cual es usada como eje principal de una aplicación web para VF llamada Smart_PV. El objetivo de Smart_PV es doble: i) permitir el ingreso de VF, y ii) detectar VF en textos. Se diseñaron interfaces web para ingresar los VF con sus características y para detectarlos en textos así: el usuario ingresa un texto y comienza el proceso de detección de VF dividiendo el texto en palabras. Smart_PV fue validada insertando 80 VF (incluyendo los 25 VF más comunes en documentos de la Unión Europea), y detectando VF en textos de diferentes dominios. Los resultados muestran la conveniencia de este tipo de aplicaciones para profesores, estudiantes, traductores y usuarios comunes como apoyo en tareas de traducción y minería de textos. Aunque es deseable una base de datos con más VF y el análisis de más documentos, los resultados obtenidos demuestran la viabilidad y utilidad de la aplicación.
 
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