46.-50. nimetus 52-st

    • Pretrained word and multi-sense embeddings for Estonian 

      Aedmaa, Eleri (2019)
      Word and multi-sense embedding for Estonian trained on lemmatized etTenTen: Corpus of the Estonian Web. Word embeddings are trained with word2vec. Sense embeddings are trained with SenseGram. Sense inventory is induced ...
    • Inari Saami geminates 

      Türk, Helen; Lippus, Pärtel; Pajusalu, Karl; Teras, Pire (2018-11-08)
      Data extracted from the Inari Saami prosody corpus (http://dx.doi.org/10.15155/1-00-0000-0000-0000-00150L), used in Türk et al (2018). The Acoustic Correlates of Quantity in Inari Saami. Journal of Phonetics. Target words ...
    • (Non-)Literalness ratings for Estonian particle verbs 

      Aedmaa, Eleri (2018-06)
      (Non-)literalness dataset of 1481 sentences formed with 184 Estonian particle verbs. Sentences are evaluated by 3 native speakers of Estonian on a 6-point scale [0,5] indicating the degree of compositionality of a particle ...
    • Context-dependent articulation of consonant gemination in Estonian (data) 

      Türk, Helen; Lippus, Pärtel; Šimko, Juraj (2017)
      This dataset is collected from 4 native Estonian speakers with Carstens AG-500 electromagnetic articulograph articluating the 27 combinations of disyllabic words for the purpose of studying gemination in the Estonian ...
    • Meadow Mari Prosody data 

      Lehiste, Ilse; Teras, Pire; Help, Toomas; Lippus, Pärtel; Meister, Einar; Pajusalu, Karl; Viitso, Tiit-Rein (2005)
      This dataset contains the segmental durations, F0 measurements and formant values F1-F3 from the vowels in 1-4 syllable words in Meadow Mari, a Finno-Ugric language. 8 native speakers read a list of 100 sentences, each ...