Undergraduate Research: Cross-Lingual Approaches to Morphosyntactic Tagging

The main goal of this project is to build a team of

undergraduate students in Linguistics and Computer Science to

work on the research project collaboratively. Through this

experience, the students will be able to learn about each

other's disciplines, linguistic properties of many interesting

languages, tagset design, various supervised/unsupervised

approaches to morphosyntactic tagging as well as acquire

mathematical modeling and algorithmic skills -- all while

working as part of the research team.

In this research, the PI together with her students will

explore how cross-lingual correspondences can be used for

scientific and technological benefit, and provide a better

understanding of what linguistic properties are crucial for

morphosyntactic transfer.

This award will play a central role in expanding inquiry-based

learning, fostering student collaborations, and providing

valuable hands-on experience of highly practical work on

difficult, morphologically rich under-represented languages.

The impact of this project is expected to translate into

significant gains in recruitment of minority students through

research training in Computer Science and Linguistics. The

undergraduates who work on this project will collaborate on the

writing of research publications and present at national

meetings so that they can contribute to the research culture

while enhancing their research awareness.