Deleted:Computational linguist (RE1)
0
0
Entering edit mode
3.0 years ago
recruitment ▴ 20

Context And Mission

The Text Mining Unit of the BSC-CNS (TeMU-BSC) is funded through the Plan de Impulso de las TecnologĂ­as del Lenguaje de la Agenda Digital, by the Secretary of State of Telecommunications and the Information. It is the first publicly funded text mining unit in Spain and has the aim to promote the development of natural language processing and machine translation resources for Spanish and other co-official languages in the area of biomedicine.

We are looking for candidates with a background in computational linguistics who will participate in the cataloguing of tools and linguistic resources for Spanish and Catalan and in activities related to evaluation of Machine Translation within the Text Mining Unit.

Key Duties

  • Build an extensive catalogue of existing linguistic resources and tools for Spanish and Catalan.
  • Automatically annotate data using state-of-the-art language processing tools.
  • Manage corpora and language data according to the requirements specified in the Unit’s data management plan.
  • Evaluate MT systems.

Requirements

Education Degree in Applied Linguistics, Computer Science or related disciplines with a very strong linguistic background.

Essential Knowledge and Professional Experience Experience/knowledge in the NLP and/or MT fields. Native speaker of Catalan. Experience/knowledge in corpus annotation and generation of linguistic resources. Understanding of data administration and management functions (transfer, storage, analysis, distribution, exploration, etc.).

Competences Ability to work independently and in a team to complete tasks on schedule. Ability to work under set deadlines.

To apply to this position, please follow this link.

NLP Text_Mining offtopic • 392 views
ADD COMMENT
This thread is not open. No new answers may be added
Traffic: 1950 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6