Claire Bowern's research featured in Nature and Science
She is one of several authors on an article in Nature about the genomic history of Aboriginal Australia, and her contributions to that paper were profiled in Science.
She is one of several authors on an article in Nature about the genomic history of Aboriginal Australia, and her contributions to that paper were profiled in Science.
Members of our department traveled all over the world for summer institutes, conferences, and fieldwork, and we hosted several visiting undergraduate researchers on campus.
One talk discussed computational modeling of Khamti tone, and the other examines how syntactic borrowing may explain similarities between Khmer and Thai numeral classifiers.
We are delighted to have Sarah Babinski (Swarthmore ’16), Yiding Hao (UChicago ’15), Dan Schwennicke (Oxford ’16), and Andy Zhang (Yale ’15) join our department.
Rikker will travel in May to the Max Planck Institute for the Science of Human History in Jena, Germany.
[Updated April 18, 2016]
On two Fridays, April 15 and April 22, Yale linguistics graduate students in their second and third years will give talks based on their qualifying papers. These papers, one of which is required in each of the second and third years and which cover two different areas of linguistics, represent significant original research culminating in a work of publishable quality.
Claire Bowern recently delivered the keynote address at Ohio State University’s 13th Annual Martin Luther King Day Linguistics Symposium. This annual event is organized around a different theme each year, with this year’s being ”Mathematical/Computational Tools in and for Historical Linguistics.”
Associate Professor Claire Bowern will be giving a plenary at the workshop Capturing Phylogenetic Algorithms for Linguistics, which will be held October 26-30, 2015, at the Lorentz Center in Leiden, Netherlands.
Several members of the department will give talks, present posters, and receive awards.
The paper, titled “Learning General Phonological Rules From Distributional Information: A Computational Model,” appears in the journal Cognitive Science.