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Sentence Shortening via Morpho-Syntactic Annotated Data in Historical Language Learning

Published: 20 February 2016 Publication History

Abstract

We present an approach to shorten Ancient Greek sentences by using morpho-syntactic information attached to each word in a sentence. This work underpins the content of our eLearning application, AncientGeek, whose unique teaching technique draws from primary Greek sources. By applying a technique that skips the clausal dependents of a main verb, we reached a well-formed rate of 89% of the sentences.

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a3-moritz-apndx.pdf (moritz.zip)
Supplemental movie, appendix, image and software files for, Sentence Shortening via Morpho-Syntactic Annotated Data in Historical Language Learning

References

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Cited By

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  • (2021)Personalizing alternatives for diverse learner groups: readability toolsIntelligent Systems and Learning Data Analytics in Online Education10.1016/B978-0-12-823410-5.00003-6(301-321)Online publication date: 2021
  • (2017)Current and Alternate Approaches to Personalization in Online LearningProceedings of the 13th International Symposium on Open Collaboration10.1145/3125433.3125449(1-4)Online publication date: 23-Aug-2017

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  1. Sentence Shortening via Morpho-Syntactic Annotated Data in Historical Language Learning

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      cover image Journal on Computing and Cultural Heritage
      Journal on Computing and Cultural Heritage   Volume 9, Issue 1
      February 2016
      102 pages
      ISSN:1556-4673
      EISSN:1556-4711
      DOI:10.1145/2846105
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 20 February 2016
      Accepted: 01 July 2015
      Revised: 01 July 2015
      Received: 01 October 2014
      Published in JOCCH Volume 9, Issue 1

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      Author Tags

      1. Primary source text
      2. dependent
      3. morpho-syntactic annotation
      4. part of speech tags

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      • European Social Fund

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      View all
      • (2021)Personalizing alternatives for diverse learner groups: readability toolsIntelligent Systems and Learning Data Analytics in Online Education10.1016/B978-0-12-823410-5.00003-6(301-321)Online publication date: 2021
      • (2017)Current and Alternate Approaches to Personalization in Online LearningProceedings of the 13th International Symposium on Open Collaboration10.1145/3125433.3125449(1-4)Online publication date: 23-Aug-2017

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