Postdoc position: Machine learning for child language acquisition

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Ali Reza Ebadat

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Jun 16, 2015, 6:08:30 AM6/16/15
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Hi,

We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.

You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, connectionist/deep learning, cloud computing, and GPU
programming is desirable. The post is available for 2 years.

The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation.  In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop resources that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms. The research topics and approaches are open to negotiation.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster (http://www.lucid.ac.uk/)

More information is available here:
https://sites.google.com/site/sentenceproductionmodel/news

   - Employer: University of Liverpool
   - Title: Post-doctoral fellow
   - Topics: machine learning, computational linguistics, corpus
   linguistics, algorithm development, deep learning, speech processing
   - Deadline: 28th August 2015
   - Date Posted: 2nd June 2015
   - Apply:
   http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/


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