Translating sentences from ‘original’ to ‘simplified’ Spanish Traducción de frases del español ‘original’ al español ‘simplificado’

Rhotic Variation and Contrast in Veracruz Mexican Spanish Variación Y Contraste En Las Róticas Del Español Mexicano De Veracruz

Improving parsing Accuracy for Spanish using Maltparser∗ Mejora de la Precisión del Análisis para el Español con Maltparser

In the last years, dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Maltparser is one of such systems. Machine learning allows to obtain parsers for every language having an adequate training corpus. Since generally such systems can not be modified the following question arises: Can we be...

Automatic prediction of emotions from text in Spanish for expressive speech synthesis in the chat domain Predicción automática de emociones a partir de texto en español para síntesis de voz expresiva en el dominio del chat

This paper describes a module for the prediction of emotions in text chats in Spanish, oriented to its use in specific-domain text-to-speech systems. A general overview of the system is given, and the results of some evaluations carried out with two corpora of real chat messages are described. These results seem to indicate that this system offers a performance similar to other systems describe...

Spanish Text Simplification: An Exploratory Study Simplificación de textos en Español: Un estudio explorativo

Text simplification is the process of transforming a text into an equivalent which is more understandable for a target user. We focus on text simplification in the Spanish language and present a corpus-based study of simplification operations. The study has implications for the development of an automatic simplification system.

A machine learning method for identifying impersonal constructions and zero pronouns in Spanish∗ Un método de aprendizaje automático para la identificación de construcciones impersonales y pronombres cero en español

In this paper, we present a machine learning system for classifying subject ellipsis in Spanish as either referential or non-referential. To the best of our knowledge, this is the first attempt to automatically identify non-referential ellipsis in Spanish. An evaluation of our system against 6,827 finite verbs shows an accuracy of 87%.