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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](https://md.mova.elamur.ai/free/en/docs/papers/topics/akkadian-cuneiform-nlp/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Aleksi Sahala](https://md.mova.elamur.ai/free/en/docs/papers/authors/aleksi-sahala/), [Antti Arppe](https://md.mova.elamur.ai/free/en/docs/papers/authors/antti-arppe/), [Krister Lindén](https://md.mova.elamur.ai/free/en/docs/papers/authors/krister-linden/).

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Miikka+Silfverberg) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Miikka+Silfverberg) · [dblp](https://dblp.org/search?q=Miikka+Silfverberg) · [ACL Anthology](https://aclanthology.org/search/?q=Miikka+Silfverberg) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Miikka+Silfverberg)

Topics: [Akkadian and cuneiform NLP](https://md.mova.elamur.ai/free/en/docs/papers/topics/akkadian-cuneiform-nlp/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America](https://md.mova.elamur.ai/free/en/docs/papers/nicolai-2021-expanding-jhu-bible-corpus-machine/)** *(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](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-sahala-automated-phonological-transcription-akkadian-cuneiform/)** *(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](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2020-sahala-babyfst-finite-state-based-computational/)** *(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)

- [Aleksi Sahala](https://md.mova.elamur.ai/free/en/docs/papers/authors/aleksi-sahala/) ×2
- [Antti Arppe](https://md.mova.elamur.ai/free/en/docs/papers/authors/antti-arppe/) ×2
- [Krister Lindén](https://md.mova.elamur.ai/free/en/docs/papers/authors/krister-linden/) ×2
- Edith Coates
- Garrett Nicolai
- Ming Zhang
- [← previous Mihai Surdeanu](https://md.mova.elamur.ai/free/en/docs/papers/authors/mihai-surdeanu/)
- [next → Mike Lewis](https://md.mova.elamur.ai/free/en/docs/papers/authors/mike-lewis/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)