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Miikka Silfverberg

3 paper cards in the Research library · 2020–2021

Miikka Silfverberg wrote 3 of the papers Mova reads, in 2020–2021, most of them on Akkadian and cuneiform NLP, Machine translation; often with Aleksi Sahala, Antti Arppe, Krister Lindén.

OpenAlex · h-index 17 · 1038 citations · 100 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 · Machine translation 1

Papers

  1. Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America (2021)
    The paper extends the JHU Bible Corpus with more than thirty Bible translations in thirty Indigenous languages of North America, normalised by verse so that they can be aligned.
  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.
  3. 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 (6)