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From: UBC Language Sciences <[log in to unmask]<mailto:[log in to unmask]>>
Date: May 3, 2018 at 6:19:26 PM PDT
Subject: Lane Schwartz @ SLAIS Terrace Lab - Computational models for St. Lawrence Island Yupik, Tomorrow, May 4th, 11:00 am - 12:00/noon

Hello everyone!

Lane Schwartz, Assistant Professor of Linguistics, The University of Illinois at Urbana-Champaign, will be visiting tomorrow Friday May 4th, and giving a talk.

Details below:

Time: 11:00am - 12:00 /noon

Place: SLAIS Terrace Lab (4th floor of IKBLC)

Speaker: Lane Schwartz works at the intersection of human and machine translation. His research includes work in grammar induction, machine translation, computer-aided translation, and cognitively-motivated language models. Dr. Schwartz holds a B.A. from Luther College with minors in German and Theatre/Dance. He earned an M.Phil in Computer Speech, Text and Internet Technology from the University of Cambridge, and a Ph.D in Computer Science from the University of Minnesota. He is one of the original developers of Joshua, an open source toolkit for tree-based statistical machine translation, and a frequent contributor to Moses, the de-facto standard for phrase-based statistical machine translation.

Title: Computational models for St. Lawrence Island Yupik

Abstract: St. Lawrence Island Yupik (ISO 639-3: ess), also known as Chaplinski in the Russian literature, is an endangered language of the Bering Strait region indigenous to St. Lawrence Island in far western Alaska and the Chukchi Peninsula of far eastern Russia. The polysynthetic nature of Yupik morphology makes many traditional computational approaches to modeling language phenomena in Yupik impractical. While a small number of computational resources have been developed for some languages in the Inuit branch of this language family, to our knowledge, no computational tools have previously been developed for St. Lawrence Island Yupik. We present the first such tools for St. Lawrence Island Yupik, and discuss their practical implications for language documentation and revitalization efforts. These tools include a web-based framework that incorporates a basic spell checker and transliteration utilities, including transliteration from the Latin and Cyrillic orthographies to IPA, as well as a separate morphological analyzer built using the foma finite-state toolkit.





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