Computational & Mathematical Linguistics

Bob Frank receives NSF grant to study inductive bias in neural networks

Bob Frank has been awarded a grant by the NSF on the topic of “Inductive Biases for the Acquisition of Syntactic Transformations in Neural Networks.” This work, in collaboration with Tal Linzen of Johns Hopkins, will explore the degree to which explicit innate biases are needed to learn linguistic mappings, whether between linguistic forms (e.g., active/passive or declarative/interrogative) or between forms and meanings.

Pama-Nyungan lab members publish paper on forced alignment

Members of the Pama-Nyungan lab recently published a write-up of their results on forced alignment algorithms. Their paper on “A Robin Hood approach to forced alignment: English-trained algorithms and their use on Australian languages” was recently published in the proceedings of the Annual Meeting of the Linguistic Society of America. They show that for some purposes, English-trained models can be used without crucial loss of accuracy.

Graduate students to present at Qualifying Paper Symposia

[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.

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