This dissertation investigates the soft typology of phonological patterns. By studying the types of patterns observed in the world's languages, we can do more than determine what is attested and what is unattested, or what is possible and what is impossible, but discover a wide range of more gradient phenomena. Phonological patterns range from…

This article explores language learning as the speakers' microlongitudinal project in interaction. Using conversation analysis (CA) as a method, we present a single-case analysis on how a change occurs in the linguistic repertoire of 2 learners of Finnish. We discuss the challenges that the temporal aspect in learning poses within CA, such as the…

The human ability to anticipate upcoming behavior not only enables smooth turn transitions but also makes early responses possible, as respondents use a variety of cues that provide for early projection of the type of action that is being performed. This article examines resources for projection in interaction in three unrelated…

Children are known to be fast learners due to their neural plasticity. Learning a non-native language (L2) requires the mastering of new production patterns. In classroom settings, learners are not only exposed to the acoustic input, but also to the unfamiliar grapheme-phoneme correspondences of the L2 orthography. We tested how 9-10-year-old…

The paper examines how children quote their parents' utterances. In other words, it investigates linguistic recycling as an aspect of language learning and how the child-directed speech (CDS) of adults influences child speech (CS). This topic is examined especially in the light of research made in the crosslinguistic project on pre- and…

This dissertation examines the question of how phonological alternations are learnt. In constraint-based models of phonological learning, it is hypothesized that prior learning of phonotactics from the lexicon facilitates the learning of alternations. While this is an influential assumption, the empirical evidence for it is equivocal. In this…