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 courses:rg:morphology-induction-with-spelling-rules [2011/04/11 14:43]popel positive comment added courses:rg:morphology-induction-with-spelling-rules [2011/04/19 13:05] (current)abzianidze Both sides previous revision Previous revision 2011/04/19 13:05 abzianidze 2011/04/11 14:43 popel positive comment added2011/04/08 13:32 bejcek vytvořeno 2011/04/19 13:05 abzianidze 2011/04/11 14:43 popel positive comment added2011/04/08 13:32 bejcek vytvořeno Line 6: Line 6: ===== Introduction ===== ===== Introduction ===== * The paper describes morphology induction using Bayesian approach * The paper describes morphology induction using Bayesian approach + * It is based on the Minimum Description Length (MDL) principle * Baseline: Goldwater et al., 2006:  [[http://​citeseerx.ist.psu.edu/​viewdoc/​download?​doi=10.1.1.70.9842&​rep=rep1&​type=pdf|Interpolating between types and tokens by estimation power-law generators]] * Baseline: Goldwater et al., 2006:  [[http://​citeseerx.ist.psu.edu/​viewdoc/​download?​doi=10.1.1.70.9842&​rep=rep1&​type=pdf|Interpolating between types and tokens by estimation power-law generators]] * only stem & suffix * only stem & suffix Line 11: Line 12: * Improvements to the baseline system * Improvements to the baseline system - * introduces spelling rules (context/​change,​ e.g.: "​ut_i"/​ε→t (in "​shut.ing"​) or "​ke_i"/​e→ε (in "​take.ing"​)) + * introduces spelling rules (context/​change,​ e.g.: "​ut_i"/​ε→t (in "​shut.ing"​) or "​ke_i"/​e→ε (in "​take.ing"​)), which are simultaneously learned with morphological analysis ​ * Dirichlet priors first set by hand: to prefer empty rules to deletion/​insertion * Dirichlet priors first set by hand: to prefer empty rules to deletion/​insertion Line 21: Line 22: ===== What do we like about the paper ===== ===== What do we like about the paper ===== * Loganathan has the code (although he couldn'​t compile it, yet) * Loganathan has the code (although he couldn'​t compile it, yet) + * Spelling rules are also simultaneously learned along with morphological analysis ​ * It's unsupervised and clever: using just a couple of (hyper)parameters (some of them are learned automatically),​ they can describe a wide range of morphological rules - within one elegant framework. * It's unsupervised and clever: using just a couple of (hyper)parameters (some of them are learned automatically),​ they can describe a wide range of morphological rules - within one elegant framework.

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