Job Site: York, UK
Job title: PDRA in the mathematical linguistics
Job rank: Researcher

Specialized fields: mathematical linguistics

Specialized Language: English (Engineer)

a description:

The Ministry of Language and Linguistic Sciences is seeking to appoint a post-PhD researcher (PDRA) in mathematical linguistics for a period of two years to work on “developing the Y-ACCDist durability for use in Biftente Arabic dialects.” This is a sub -project for a joint European language signal and analysis project (led by the immigration and naturalization service in the Dutch Ministry of Refugee and Immigration, and the joint funded by the European Union) was granted to the project of Dr. George Brown from the University of Lancaster with the joint beneficiary and the pioneer in York Sam Helmouth at the University of York.

The department is a pioneering center in the UK teaching and research in theoretical, experimental and experimental linguistics. In the latest framework of the 2021 research excellence, we reached the first rank in the UK in the modern language and linguistic evaluation unit to assess the quality of our research, impact and the research environment. The Early Career Forum supports the job development activity of all professional employees early, including researchers after the doctorate, who are represented in the Department of Research Committee.

role:
The role holder will be part of a small team of researchers working in Lancaster and York around the “Y-ACCDIST” for use in Celia’s Arabic dialects. We are looking for a person who can support the development of a strong workflow to identify automatic speech (ASR) in the audio recordings of the Arabic dialectical discourse, to generate texts for use in training and testing a system to provide almost automatic language indicators for Arabic language variables. This task requires experimenting with alternative Roman copy systems in addition to the Arab text program, developing text transforming operations between copying systems, as well as developing protocols for comparative evaluation of the accuracy of different types of copies. The sub -project will work with specific specific sources of golden training data in Arabic dialects.

The ideal role holder will have an experience in developing and/or using ASR workflow for Arabic dialectical discourse, as well as technical experience to develop, document and evaluate aspects of this type of workflow. The role holder will also have a high level of efficiency in the Arabic language, including or more dialects of the Arabic dialects, as well as an excellent leadership of the English language. It will include major duties and responsibilities:

-Supporting the development, documentation and evaluation of a new workflow to provide semi -automatic language indicators for Arabic language variables, in the context of the final use that requires the use of golden standard training data.

To conduct individual and cooperative research.

To develop and start cooperative work internally and externally

– Carrying out the appropriate organizational and administrative activities related to the project.

The necessary skills, experience and qualifications:
PhD in linguistics, computer science, other relevant field, or an equivalent experience
Knowledge of the linguistic and calculations of speech technology
– The ability to develop solutions for ASR work in appropriate coding languages ​​such as Python
High -level efficiency in English and Arabic, including individual dialects or more
– A strong background to know the technology of speech and/or applications for the natural language processing of Arabic, and familiarity with the challenges of research in this field is desirable
– The experience of working with various systems for spelling or copying the Arabic dialectic is desirable

Date of the interview: To be confirmed

For informal inquiries: Please contact Professor Sam Helmouth (Email protected).

The deadline for the application: 19 -Oct 2015
Postal address for applications:
York University, York, Yo10 5DD
UK
Application email address: (Email protected)
Web address for applications: https://jobs.york.ac.uk/vacance/postdoctora-research-associa-pdra-in-compututational-LNINISTISTISIS-595465.html
Application Instructions:
Please apply on the university site
Contact information:
Sam Helmouth
Email: (Email protected)