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<span style="font-weight: bold;">The vacancy is found at: <br>
<a
href="http://staff.science.uva.nl/%7Esimaan/VacancyPHDstudent_EW2010.html">http://staff.science.uva.nl/~simaan/VacancyPHDstudent_EW2010.html</a><br>
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What follows is a summary.<br>
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Vacancy: PhD Position</span><br>
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Topic: Statistical Machine Translation<br>
Keywords: Statistical machine translation; syntactic models<br>
Team:<a href="http://staff.science.uva.nl/%7Esimaan/illc.uva.nl"></a><a
href="http://staff.science.uva.nl/%7Esimaan/www.uva.nl">ILLC,
University of Amsterdam</a>
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We are looking for a highly motivated PhD student to work on challenges
in
statistical machine translation between language pairs that exhibit
substantial divergence in syntax and morphology. The position is
financed by the NWO Exact Sciences project "Machine Translation When
Exact Pattern Match Fails" lead by Dr Khalil Sima'an.
<pre class="moz-signature" cols="72"><span style="font-weight: bold;">Candidate Profile</span>
The successful candidate will have an excellent Master's degree (or equivalent qualification) in Computational Linguistics or another discipline relevant to the project (e.g, Artificial Intelligence) by the time of their appointment. Applicants should have a strong interest in pursuing empirical research of an interdisciplinary nature. Master course-level knowledge of Statistical Parsing, Machine Translation and/or Machine Learning is a requirement. Linguistic knowledge of syntax and morphology is desirable. Good communication skills in English, both oral and written, are essential.
For details regarding how to apply follow the following link:
<span style="font-weight: bold;"> <a
href="http://staff.science.uva.nl/%7Esimaan/VacancyPHDstudent_EW2010.html">http://staff.science.uva.nl/~simaan/VacancyPHDstudent_EW2010.html</a>
</span>For additional information on the project or the open position see the webpage contact Dr Khalil Sima'an (<a
href="mailto:k.simaan@uva.nl">k.simaan@uva.nl</a>).
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