Elamur Research
☰
home / authors / Antti Arppe

Antti Arppe

2 paper cards in the Research 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.

OpenAlex · ORCID · h-index 15 · 1247 citations · 99 works — openalex-snapshot, 2026-10-14

The profile is the library's match of the name; two people with one name are not always told apart.

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

Topics: Akkadian and cuneiform NLP 1

Papers

  1. 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.
  2. 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…

Co-authors (3)