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morphology , " focuses on unsupervised
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morphology induction
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methods . There is about a page
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H01-1035 |
the performance of a variety of
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morphology induction
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models . When using the projection-based
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D09-1072 |
forms are the output of a new
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morphology induction
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algorithm he develops . Here
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University . His unsupervised
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morphology induction
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algorithm , named ParaMor , placed
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D13-1004 |
of joint syntactic category and
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morphology induction
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. Operating within a generative
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N01-1024 |
2 Previous Approaches Previous
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morphology induction
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approaches have fallen into three
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weaknesses of purely semantic-based
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morphology induction
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by incorporating information
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language , with the sample sizes for
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morphology induction
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given in Table 3 . All word alignments
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D14-1154 |
namely : • Unsupervised
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Morphology Induction
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: We employed the unsupervised
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N01-1024 |
, to our knowledge , complete
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morphology induction
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performance measures have not
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three extensions to our earlier
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morphology induction
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work ( Schone and Jurafsky (
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H94-1119 |
expert system . Explore statistical
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morphology induction
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, lexical disambiguation , and
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by making use of unsupervised
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morphology induction
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to decompose usernames into sub-units
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N01-1024 |
. MED has been applied to the
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morphology induction
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problem by other researchers
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additional detail regarding the
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morphology induction
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experiments , supplementing the
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H93-1113 |
COMING YEAR * Explore statistical
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morphology induction
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, lexical disambiguation , and
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N12-1045 |
obtained from an unsupervised
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morphology induction
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system . Nonparametric Bayesian
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additional bridging source for
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morphology induction
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in a third language ( such as
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technique in segmentation and
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morphology induction
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models is to calculate the product
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N01-1024 |
extends earlier approaches to
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morphology induction
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by combining various induced
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