no code implementations • LREC 2020 • Mika H{\"a}m{\"a}l{\"a}inen, Linda Wiechetek
We present a method for conducting morphological disambiguation for South S{\'a}mi, which is an endangered language.
no code implementations • IJCNLP 2019 • Mika H{\"a}m{\"a}l{\"a}inen, Khalid Alnajjar
We present a novel approach for generating poetry automatically for the morphologically rich Finnish language by using a genetic algorithm.
1 code implementation • WS 2019 • Niko Partanen, Mika H{\"a}m{\"a}l{\"a}inen, Khalid Alnajjar
We compare different LSTMs and transformer models in terms of their effectiveness in normalizing dialectal Finnish into the normative standard Finnish.
no code implementations • WS 2019 • Mika H{\"a}m{\"a}l{\"a}inen, Timo Honkela
This theoretical paper identifies a need for a definition of asymmetric co-creativity where creativity is expected from the computational agent but not from the human user.
1 code implementation • WS 2019 • Mika H{\"a}m{\"a}l{\"a}inen, Tanja S{\"a}ily, Jack Rueter, J{\"o}rg Tiedemann, Eetu M{\"a}kel{\"a}
This paper studies the use of NMT (neural machine translation) as a normalization method for an early English letter corpus.
no code implementations • WS 2018 • Mika H{\"a}m{\"a}l{\"a}inen
We present Poem Machine, an interactive online tool for co-authoring Finnish poetry with a computationally creative agent.
no code implementations • WS 2018 • Khalid Alnajjar, Mika H{\"a}m{\"a}l{\"a}inen
Satire has played a role in indirectly expressing critique towards an authority or a person from time immemorial.
no code implementations • COLING 2018 • Mika H{\"a}m{\"a}l{\"a}inen, Tanja S{\"a}ily, Jack Rueter, J{\"o}rg Tiedemann, Eetu M{\"a}kel{\"a}
This paper presents multiple methods for normalizing the most deviant and infrequent historical spellings in a corpus consisting of personal correspondence from the 15th to the 19th century.