26.2385, Support: Computational Linguistics; Translation / Italy

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LINGUIST List: Vol-26-2385. Thu May 07 2015. ISSN: 1069 - 4875.

Subject: 26.2385, Support: Computational Linguistics; Translation / Italy

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Date: Thu, 07 May 2015 12:50:45
From: Marco Turchi [turchi at fbk.eu]
Subject: Computational Linguistics; Translation, PhD Student, Fondazione Bruno Kessler, Italy

 Institution/Organization: Fondazione Bruno Kessler 
Department: Human Language Technology - Machine Translation 
Web Address: http://hlt-mt.fbk.eu 

Level: PhD 

Duties: Research
 
Specialty Areas: Computational Linguistics; Translation 
 

Description:

Have you recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering or a closely related area? Are you interested in carrying out research on NLP during the next years? Are you excited to spend a part of your life in a pleasant city in the heart of the Italian Alps?

We are looking for you!

The Human Language Technology - Machine Translation (HLT-MT) group at Fondazione Bruno Kessler (Trento, Italy) in conjunction with the the ICT International Doctorate School of the University of Trento is pleased to announce the availability of the following fully-funded PhD position in Machine Translation.

Title: Flexible Machine Translation

Description:

Machine Translation (MT) has become reliable enough to concretely support the daily work of professional translators. In computer-assisted translation, machines allow humans to translate faster. In the same framework, human feedback should allow machines to translate better. This objective can be pursued in different ways, for instance by injecting knowledge about how specific segments (words, phrases, sentences) should be translated. But what about the relation between such segments and the world they refer to and evoke? For instance, what does a human correction of "accept" into "ratify" tell us about the domain and register of the original sentence? And what does it tell us about the proper translation of terms like "home" ("domicile"), "tell" ("notify"), "pay" ("indemnify") appearing in the same legal document? To answer these questions, a smart use of human feedback should not only focus on local translation/correction patterns, but also on inference and projection mechanisms to
  abstract from them. This grant will be offered to students willing to take the challenge by combining research on statistical machine translation, machine learning and distributional semantics in a single "flexible MT" framework.

Contact: negri at fbk.eu, turchi at fbk.eu

Complete details available at: http://ict.unitn.it/application/ict_doctoral_school

Important Dates:

The deadline for application is: May 27, 2015, hrs. 04.00 PM (+2 GMT)
Potential candidates are strongly invited to contact us in advance for preliminary interviews. Precedence for interviews will be given to short-listed candidates that will send us a complete CV via email (negri at fbk.eu, turchi at fbk.eu) by: May 15, 2015, hrs. 04.00 PM (+2 GMT)

Candidate profile

The ideal candidate must have recently completed or expect very soon an MSc or equivalent degree in computer science, artificial intelligence, computational linguistics, engineering or a closely related area. In addition, the applicant should

- Have a strong interest in Machine Translation
- Have a strong background in statistics, probability theory and machine learning
- Have excellent programming skills in at least one of the following languages: C, C++, or Java
- Enjoy working with real-world problems and large data sets
- Good knowledge of written and spoken English
- Enjoy working in a closely collaborating team

Working Environment

The doctoral student will be employed at the HLT-MT group at Fondazione Bruno Kessler, Trento, Italy. The group (about 15 people including staff and students) has a long tradition in research on machine translation and is currently involved in several H2020 European projects such as QT21, Cracker and MMT. Former students are nowadays employed in leader IT companies in the world.

Further Information

For further information about the position, please contact: Matteo Negri (negri at fbk.eu) and Marco Turchi (turchi at fbk.eu). 

Application Deadline: 27-May-2015 

Web Address for Applications: http://ict.unitn.it/application/ict_doctoral_school 

Contact Information: 
	Marco Turchi 
	negri at fbk.eu  


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