ICL 2011
Iberian Cross-Language Natural Language Processing Tasks

Table of Contents

• Preface
• Program Committee
  
  

  I Exploitation and Analysis of Comparable and Parallel Corpora

1. Measuring Comparability of Multilingual Corpora Extracted from Wikipedia 8-13
   Pablo Gamallo Otero, Isaac González López
2. Extracción de corpus paralelos de la Wikipedia basada en la obtención de alineamientos bilingües a nivel de frase 14-21
   Joan Albert Silvestre-Cerdà, Mercedes García-Martínez, Alberto Barrón-Cedeño, Jorge Civera, Paolo Rosso
3. Pivot Strategies as an Alternative for Statistical Machine Translation Tasks Involving Iberian Languages 22-27
   Carlos Henríquez, Marta R. Costa-Jussà, Rafael E. Banchs, Lluis Formiga, José B. Mariño

II Bilingual Resources and Methods

4. A Bilingual Summary Corpus for Information Extraction and other Natural Language Processing Applications 28-34
   Horacio Saggion, Sandra Szasz
5. Extracción automática de léxico bilingüe: experimentos en español y catalán 35-42
   Raphaël Rubino, Iria da Cunha, Georges Linarès
6. A Particle Swarm Optimizer to Cluster Parallel Spanish-English Short-text Corpora 43-48
   Diego Ingaramo, Marcelo Errecalde, Leticia Cagnina, Paolo Rosso

III Cross-Language Semantics and Opinion Mining

7. Cross-language Semantic Relations between English and Portuguese 49-58
   Anabela Barreiro, Hugo Gonçalo Oliveira
8. Generación semiautomática de recursos de Opinion Mining para el gallego a partir del portugués y el español 59-63
   Paulo Malvar Fernández, José Ramom Pichel Campos

IV Bilingualism and Dialectal Variation

9. Language Dominance Prediction in Spanish-English Bilingual Children Using Syntactic Information: A First Approximation 64-69
   Gabriela Ramirez-de-la-Rosa, Thamar Solorio, Manuel Montes-y-Gómez, Yang Liu, Aquiles Iglesias, Lisa Bedore, Elizabeth Peña
10. Recursos y métodos de sustitución léxica en las variantes dialectales en euskera 70-76
    Larraitz Uria, Mans Hulden, Izaskun Etxeberria, Iñaki Alegria

Proceedings as a single pdf file.