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Antti Arppe

2 paper cards in Mova's library · 2020

Antti Arppe wrote 2 of the papers Mova reads, in 2020, most of them on Akkadian and cuneiform NLP; often with Aleksi Sahala, Krister Lindén, Miikka Silfverberg.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

Topics: Akkadian and cuneiform NLP 1

Papers

  1. Automated Phonological Transcription of Akkadian Cuneiform Text (2020)
    Oracc holds many Akkadian texts only as sign-by-sign transliteration. The authors ask whether the phonological transcription (vowel lengths made explicit, logograms replaced by their Akkadian readings) can be produced automatically. The task splits in two: syllabic words are a grapheme-to-phoneme problem, and…
  2. BabyFST - Towards a Finite-State Based Computational Model of Ancient Babylonian (2020)
    The paper describes BabyFST, a finite-state morphological analyser for Babylonian (the southern dialect of Akkadian) that works on transcribed input.

Co-authors (3)

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