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» Unsupervised Discovery of Morphemes
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MVA
2010
130views Computer Vision» more  MVA 2010»
13 years 6 months ago
Neighborhood linear embedding for intrinsic structure discovery
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
NLE
2010
218views more  NLE 2010»
13 years 6 months ago
Automatic discovery of word semantic relations using paraphrase alignment and distributional lexical semantics analysis
Thesauri, that list the most salient semantic relations between words have mostly been compiled manually. Therefore, the inclusion of an entry depends on the subjective decision o...
Gaël Dias, Rumen Moraliyski, João Cord...
AAAI
2008
13 years 10 months ago
Cross-lingual Propagation for Morphological Analysis
Multilingual parallel text corpora provide a powerful means for propagating linguistic knowledge across languages. We present a model which jointly learns linguistic structure for...
Benjamin Snyder, Regina Barzilay
COLING
2008
13 years 9 months ago
Latent Morpho-Semantic Analysis: Multilingual Information Retrieval with Character N-Grams and Mutual Information
We describe an entirely statistics-based, unsupervised, and languageindependent approach to multilingual information retrieval, which we call Latent Morpho-Semantic Analysis (LMSA...
Peter A. Chew, Brett W. Bader, Ahmed Abdelali
CLEF
2009
Springer
13 years 8 months ago
Morphological Analysis by Multiple Sequence Alignment
In biological sequence processing, Multiple Sequence Alignment (MSA) techniques capture information about long-distance dependencies and the three-dimensional structure of protein ...
Tzvetan Tchoukalov, Christian Monson, Brian Roark