The Global Wordnet Grid: anchoring languages to universal meaning Piek Vossen Irion Technologies/Free University of Amsterdam.
Smoothing Problem with MLE BeijingShanghai…MengChengCLASS = ‘china’ 11…0+ 10…0+ 01…0+ 00…0- A small city in the Anhui province BeijingShanghai…MengChengCLASS.
PLN Nivel superficial y léxico1 Procesamiento superficial y léxico Nivel de procesamiento superficial El concepto de palabra Nivel de procesamiento léxico.
Keyword Search on Structured Data using Relevance Models
Imputation Techniques For Market Research Datasets With Missing Values
1 Smoothing Methods for LM in IR Alejandro Figueroa.
Robust Error Detection: A Hybrid Approach Combining Unsupervised Error Detection and Linguistic Knowledge Johnny Bigert and Ola Knutsson Royal Institute.
Keyword extraction for metadata annotation of Learning Objects Lothar Lemnitzer, Paola Monachesi RANLP, Borovets 2007.
1/36 TectoMT Zdeněk Žabokrtský ÚFAL MFF UK Software framework for developing MT systems (and other NLP applications)
Ontology Learning from Text: A Survey of Methods Source: LDV Forum,Volume 20, Number 2, 2005 Authors: Chris Biemann Reporter:Yong-Xiang Chen.
1/21 Introduction to TectoMT Zdeněk Žabokrtský, Martin Popel Institute of Formal and Applied Linguistics Charles University in Prague CLARA Course on Treebank.
A Tutorial on Pronunciation Modeling for Large Vocabulary Speech Recognition
