“…These studies are informative for a host of learnability questions, such as to test the sheer feasibility of a proposed word segmentation solution (Gambell & Yang, 2005), to compare alternative algorithms (Goldwater, Griffiths, & Johnson, 2009;Pearl, Goldwater, & Steyvers, 2010), to see whether languages differ in their intrinsic segmentability (Fourtassi, Börschinger, Johnson, & Dupoux, 2013), or whether child-directed speech is intrinsically easier to segment than adult-directed speech (Ludusan, Mazuka, Bernard, Cristia, & Dupoux, 2017). Additionally, there is emergent evidence suggesting that computational word segmentation results may also be relevant for infant psycholinguistics, by predicting the contents of infants' long-term vocabulary better than lexical status (Ngon et al, 2013) or pure frequency (Larsen, Cristia, & Dupoux, 2017).…”