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Aleksi Sahala

4 paper cards in the Research library · 2020–2025

Aleksi Sahala wrote 4 of the papers Mova reads, in 2020–2025, most of them on Akkadian and cuneiform NLP, Treebanks; often with Krister Lindén, Antti Arppe, Miikka Silfverberg.

OpenAlex · ORCID · h-index 6 · 90 citations · 48 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 3 · Treebanks 1

Papers

  1. EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs (2025)
    The shared task asks for two things on cuneiform text: lemmatization (the base form of each word) and token prediction (filling a masked word from its context).
  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. Akkadian Treebank for early Neo-Assyrian Royal Inscriptions (2020)
    The paper describes the first Universal Dependencies treebank for Akkadian: 1,845 sentences and 22,277 words from the early Neo-Assyrian royal inscriptions (Grayson 1991), taken from the lemmatised Oracc edition.
  4. 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 (8)