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» Simple Morpheme Labelling in Unsupervised Morpheme Analysis
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CLEF
2009
Springer
13 years 7 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
EMNLP
2004
13 years 7 months ago
Learning Hebrew Roots: Machine Learning with Linguistic Constraints
The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of interdigitation, whereby two morph...
Ezra Daya, Dan Roth, Shuly Wintner
CORR
2010
Springer
213views Education» more  CORR 2010»
13 years 6 months ago
Morphological study of Albanian words, and processing with NooJ
We are developing electronic dictionaries and transducers for the automatic processing of the Albanian Language. We will analyze the words inside a linear segment of text. We will...
Odile Piton, Klara Lagji
SIGIR
2012
ACM
11 years 8 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
ICONIP
2007
13 years 7 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...