LINGUIST List 21.2429 Tue Jun 01 2010 Jobs: Stochastic Text Normalization; NLP: Postdoctoral Fellow, CSLU Editor for this issue: Christy Bird <christylinguistlist.org> The LINGUIST List strongly encourages employers to use non-discriminatory standards in hiring policy. In particular we urge that employers do not discriminate on the grounds of race, ethnicity, nationality, age, religion, gender, or sexual orientation. However, we have no means of enforcing these standards. Job seekers should pay special attention to language in ads regarding employment requirements and are encouraged to consult our international employment page at http://linguistlist.org/jobs/jobnet.html. This page has been set up so that people can report on the employment standards of various countries. To post to LINGUIST, use our convenient web form at http://linguistlist.org/posttolinguist.cfm Directory         1.    Richard Sproat, Stochastic Text Normalization; Natural Language Processing: Postdoctoral Fellow, The Center for Spoken Language Understanding, Oregon, USA Message 1: Stochastic Text Normalization; Natural Language Processing: Postdoctoral Fellow, The Center for Spoken Language Understanding, Oregon, USA Date: 01-Jun-2010 From: Richard Sproat <rwscslu.ogi.edu> Subject: Stochastic Text Normalization; Natural Language Processing: Postdoctoral Fellow, The Center for Spoken Language Understanding, Oregon, USA E-mail this message to a friend University or Organization: Oregon Health & Science University Department: The Center for Spoken Language Understanding Job Location: Oregon, USA Web Address: http://cslu.cse.ogi.edu/projects/researchprojects.html Job Rank: Post Doc Specialty Areas: Text/Corpus Linguistics; Stochastic Text Normalization; Natural Language Processing Required Language(s): Chinese, Mandarin (cmn)                             English (eng) Description: This position has been filled. The Center for Spoken Language Understanding (CSLU) at the Oregon Health & Science University (OHSU), located in Portland, Oregon, has an immediate opening for a Postdoctoral Fellow in the area of Stochastic Text Normalization and Automatic Genre Adaptation for Structured Text Processing. The Fellowship is for two years, with a possible extension to a third year. The candidate will be working with Richard Sproat (http://www.cslu.ogi.edu/~sproatr/) and Brian Roark (http://www.cslu.ogi.edu/people/roark/). The project will involve developing algorithms for the automatic induction of text normalization, parsing and semantic role labeling models for social media texts. We will be working with text in both Chinese and English, and the initial part of the project will involve collecting training and testing corpora. Results of the work will be packaged as tools based on the OpenFst weighted finite-state toolkit. The candidate must have a PhD in Computer Science, Electrical Engineering, Linguistics or related discipline, and a background in Natural Language Processing. Starting salary will be $70,000. US Citizenship is required. Candidates should send a CV, statement of interest, and arrange for two letters of recommendation to be sent to: Richard Sproat rwscslu.ogi.edu CSLU conducts research on a wide range of topics, including projects focused on core speech processing and natural language processing algorithms (Technology Research Projects) and projects focused on biomedical applications (Biomedical Research Projects), specifically on creation of diagnostic, remedial, and assistive methods for neurodevelopmental and neurodegenerative disorders and diseases. More details of some of the projects at CSLU can be found at http://cslu.cse.ogi.edu/projects/researchprojects.html OHSU is an equal opportunity affirmative action institution. Application Deadline: This position has been filled. Email Address for Applications: rwscslu.ogi.edu Contact Information: Richard Sproat Email: rwscslu.ogi.edu Read more issues|LINGUIST home page|Top of issue Page Updated: 01-Jun-2010       About LINGUIST    |   Contact Us       While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed on its pages, it cannot vouch for their contents.