Now showing items 1-5 of 5

    • Current and emerging developments in subseasonal to decadal prediction 

      Merryfield, William J.; Baehr, Johanna; Batté, Lauriane; Becker, Emily J.; Butler, Amy H.; Coelho, Caio A.S.; Danabasoglu, Gorkhan; Dirmeyer, Paul A.; Doblas-Reyes, Francisco; Domeisen, Daniela I.V.; Ferranti, Laura; Ilynia, Tatiana; Kumar, Arun; Müller, Wolfang A.; Rixen, Michel; Robertson, Andrew W.; Smith, Doug M.; Takayaka, Yuhei; Tuma, Matthias; Vitart, Frederic; White, Christopher J.; Alvarez, Mariano S.; Ardilouze, Constantin; Attard, Hannah; Baggett, Cory; Balsameda, Magdalena A.; Beraki, Asmeron F.; Bhattacharjee, Partha S.; Bilbao, Roberto; Andrade, Felipe M. de; DeFlorio, Michael J.; Díaz, Leandro B.; Ehsan, Muhammad Azhar; Fragkoulidis, Georgios; Grainger, Sam; Green, Benjamin W.; Hell, Momme C.; Infanti, Johanna M.; Isensee, Katharina; Kataoka, Takahito; Kirtman, Ben P.; Klingaman, Nicholas P.; Lee, June-Yi; Mayer, Kristen; McKay, Roseanna; Mecking, Jennifer V; Miller, Douglas E.; Neddermann, Nele; Justin Ng, Ching Ho; Ossó, Albert; Pankatz, Klaus; Peatman, Simon; Pegion, Kathy; Perlwitz, Judith; Recalde-Coronel, G. Cristina; Reintges, Annika; Renkl, Christoph; Solaraju-Murali, Balakrishnan; Spring, Aaron; Stan, Cristiana; Sun, Y. Qiang; Tozer, Carly R.; Vigaud, Nicolas; Woolnough, Steven; Yeager, Stephen (American Meteorological Society, 2020-01-29)
      Article
      Open Access
      Climate prediction on subseasonal to decadal time scales is a rapidly advancing field that is synthesizing improvements in climate process understanding and modeling to improve and expand operational services worldwide. Weather ...
    • Joint Bayesian Morphology learning of Dravidian Languages 

      Kumar, Arun; Padró, Lluís; Oliver González, Antoni (2016)
      Conference report
      Open Access
      In this paper a methodology for learning the complex agglutinative morphology of some Indian languages using Adaptor Grammars and morphology rules is presented. Adaptor grammars are a compositional Bayesian framework for ...
    • Learning agglutinative morphology of indian languages with linguistically motivated adaptor grammars 

      Kumar, Arun; Padró, Lluís; Oliver González, Antoni (2016)
      Conference report
      Open Access
      In this paper an automatic morphology learning system for complex and agglutinative languages is presented. We process complex agglutinative morphology of Indian languages using Adaptor Grammars and linguistic rules of ...
    • Morphological Analysis of the Dravidian Language Family 

      Kumar, Arun; Cotterell, Ryan; Oliver González, Antoni; Padró, Lluís (2017)
      Conference lecture
      Open Access
      The Dravidian family is one of the most widely spoken set of languages in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for ...
    • Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm 

      Kumar, Arun; Padró, Lluís; Oliver González, Antoni (2015)
      Conference report
      Open Access
      In this paper we describe a method to morphologically segment highly agglutinating and inflectional languages from Dravidian family. We use nested Pitman-Yor process to segment long agglutinated words into their basic ...