Christopher Cieri's Contact Details

Christopher Cieri's Company Details

Linguistic Data Consortium

Philadelphia, PA, US • 250 - 499 Employees
Market Research

The Linguistic Data Consortium (LDC) is a non-profit, hosted at the University of Pennsylvania, that creates and distributes language data to universities, laboratories, companies and libraries for language-related education, research and technology development. Our Catalog contains over 600 holdings in more than 60 languages published via media or digital transfer. Publications include text, speech, video and lexicons produced by LDC or contributed by partners with 36 new data sets added annually. To view the Catalog visit catalog.ldc.upenn.edu After more than two decades as the leader in language resource development and distribution, LDC continues its mission of providing large quantities of diverse data, research program support and high quality member services. Human language technology development and its related fields are changing rapidly and need effective digital resource delivery, greater language coverage, new data genres, faster, cost-efficient annotation processes and flexible tools. The Consortium successfully meets those challenges and will continue to do so with the support of members, licensees, sponsors and collaborators. LDC succeeds because it attracts expert staff. We look for candidates who have experience in linguistics, computer science and project management as well as the flexibility to adapt to a changing market. The intellectual challenge to satisfy the demand for language related data and tools given the rate of technology growth makes LDC work exceptionally rewarding. For employment opportunities visit ldc.upenn.edu/about/employmentSpecialties Language resource development and distribution, support for common task programs and evaluations in areas such as speaker and language recognition, information retrieval and extraction, natural language processing and machine translation, applications of linguistic research and machine learning to fields as diverse as autism research, biomedical information extraction and law