Paper Info
Title
The Role of n-grams in Firstborns Identification.
Abstract
Psychologists have long theorized about the effects of birth order on intellectual development and verbal abilities. Several studies within the field of psychology have tried to prove such theories, however no concrete evidence has been found yet. Therefore, in this paper we present an empirical analysis on the pertinence of traditional Author Profiling techniques. Thus, we re-formulate the problem of identifying developed language abilities by firstborns as a classification problem. Particularly we measure the importance of lexical and syntactic features extracted from a set of 129 speech transcriptions, which were gathered from videos of approximately three minutes length each. Obtained results indicate that both bag of words n-grams and bag of part-of-speech n-grams are able to provide useful information for accurately characterize the language properties employed by firstborns and later-borns. Consequently, our performed experiments helped to validate the presence of distinct language abilities among firstborns and later-borns.
Year
DOI
Venue
2015
10.1007/978-3-319-27060-9_8
ADVANCES IN ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, MICAI 2015, PT I
Keywords
Field
DocType
Lexical features,Syntactic information,Text classification,Author profiling,Natural language processing
Bag-of-words model,Transcription (linguistics),Profiling (computer programming),Computer science,Artificial intelligence,Natural language processing,Syntax,Machine learning
Conference
Volume
ISSN
Citations 
9413
0302-9743
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Gabriela Ramírez-De-La-Rosa11010.81
Verónica Reyes-Meza202.37
Esaú Villatoro-Tello332.15
Héctor Jiménez-Salazar47516.35
Manuel Montes-Y-Gómez563883.97
Luis Villaseñor-Pineda640353.74