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» EMMA: A novel Evaluation Metric for Morphological Analysis
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ICDAR
2009
IEEE
13 years 2 months ago
A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
Georgios Louloudis, Nikolaos Stamatopoulos, Basili...
CLEF
2009
Springer
13 years 2 months ago
Unsupervised Morphological Analysis by Formal Analogy
Abstract. While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approac...
Jean-François Lavallée, Philippe Lan...
CORR
2002
Springer
90views Education» more  CORR 2002»
13 years 4 months ago
Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences
Given the lack of word delimiters in written Japanese, word segmentation is generally considered a crucial first step in processing Japanese texts. Typical Japanese segmentation a...
Rie Kubota Ando, Lillian Lee
ICPADS
2005
IEEE
13 years 10 months ago
Systematic Performance Modeling and Characterization of Heterogeneous IP Networks
Accurate measurement and modeling of IP networks is essential for network design, planning, and management. Efforts are being made to detect the state of the network from end-to-e...
Alessio Botta, Donato Emma, Antonio Pescapè...
SIGIR
2010
ACM
12 years 11 months ago
PRES: a score metric for evaluating recall-oriented information retrieval applications
Information retrieval (IR) evaluation scores are generally designed to measure the effectiveness with which relevant documents are identified and retrieved. Many scores have been ...
Walid Magdy, Gareth J. F. Jones