Blog
About

0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context. This task requires us to produce the lemma and morpho-syntactic description of each token in a sequence, for 107 treebanks. We approach this task with a hierarchical neural conditional random field (CRF) model which predicts each coarse-grained feature (eg. POS, Case, etc.) independently. However, most treebanks are under-resourced, thus making it challenging to train deep neural models for them. Hence, we propose a multi-lingual transfer training regime where we transfer from multiple related languages that share similar typology.

          Related collections

          Most cited references 2

          • Record: found
          • Abstract: not found
          • Article: not found

          Marrying Universal Dependencies and Universal Morphology

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

              Bookmark

              Author and article information

              Journal
              23 July 2019
              Article
              1907.10129

              http://arxiv.org/licenses/nonexclusive-distrib/1.0/

              Custom metadata
              In Proceedings of the ACL-SIGMORPHON 2019 Shared Task: Crosslinguality and Context in Morphology
              cs.CL

              Theoretical computer science

              Comments

              Comment on this article