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

Maria Moritz, Barbara Pavlek, Greta Franzini, Gregory Crane

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)N/A-N/A
Number of pages9
JournalACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE
DOIs
Publication statusPublished - 2016

Keywords

  • Primary source text
  • dependent
  • morpho-syntactic annotation
  • part of speech tags

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