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Miikka Silfverberg

3 paper cards in Mova's 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.

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. 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…
  3. 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 (6)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/miikka-silfverberg/