REGULAR PAPERS
PROPOR 2010 received a total of 48 submissions from several countries: 37 for the language track and 11 for the speech track. Each submission was evaluated by at least 3 members from a multidisciplinary and international scientific committee. A primary selection of 13 full papers (corresponding to an acceptance rate of 27%) and 8 short papers was published in a volume of the Springer LNAI series. This Extended Activities Proceedings brings a complementary selection of other 12 well evaluated papers, which complements and enriches PROPOR main contributions.
A dependency-based approach to
anaphora annotation
Eckhard Bick
Antonymy in Brazilian
Portuguese Descriptive Adjectives: an Analysis Proposal
Cláudia Dias de Barros, Oto Araújo Vale
Evaluation of Machine Learning Approaches to Portuguese
Part-of-Speech Prediction
Daniel Cavalieri, Sira Palazuelos-Cagigas, Teodiano F. Bastos-Filho, Mario Sarcinelli-Filho
Assigning Wh-Questions to
Verbal Arguments in a Corpus of Simplified Texts
Magali Sanches Duran, Marcelo Adriano Amâncio, Sandra Maria Aluísio
Morphosyntactic Parser for Brazilian Portuguese: Methodology for
Development and Assessment
Izabel Christine Seara, Fernando Santana Pacheco, Sandra
Ghizoni Kafka, Rui Seara
Júnior, Rui Seara
Open Text Annotators Using Apache UIMA
William Daniel Colen de Moura Silva, Marcelo Finger, Carlos
Eduardo Dantas de Menezes
Parsing Extended Constraint Synchronous Grammar in
Chinese-Portuguese Machine Translation
Francisco Oliveira, Fai Wong, Iok-Sai Hong, Ming-Chui Dong
Portuguese Term Extraction Methods: Comparing Linguistic and
Statistical Approaches
Lucelene Lopes, Leandro Henrique Mendonça de Oliveira, Renata Vieira
The Anaphor-Antecedent Match: Issues for Referring Expressions
Generation
Diego Jesus de Lucena, Ivandré Paraboni
The Preposition DE in Brazilian Portuguese as a Verbal Link
Aline Villavicencio, Maria José Finatto
Using Coarticulation Rules in Automatic Phonetic Transcription
Arlindo Veiga, Sara Candeias, Luís Sá, Fernando Perdigão
Using Morphosyntactic Post-processing to Improve POS-tagging
Accuracy
Marcos Garcia, Pablo Gamallo