Pavel Pecina

Associate Professor, Institute of Formal and Applied Linguistics, Charles University, Prague

Current Projects

CEMI: Center for large-scale multi-modal data interpretation

The project aims at exploiting large collections of unlabeled multi-modal data, mainly video footage, to further state-of-the-art in video, audio and natural language understanding, interpretation, annotation and retrieval by combining unsupervised and semi-supervised learning.

Past Projects

KConnect - Khresmoi Multilingual Medical Text Analysis, Search and Machine Translation Connected in a Thriving Data-Value Chain

KConnect aimed to create a medical text Data-Value Chain with a critical mass of participating companies using cutting-edge commercial cloud-based services for multilingual Semantic Annotation, Semantic Search and Machine Translation of Electronic Health Records and medical publications.

Khresmoi: Medical information analysis and retrieval

The project aims to develop a multi-lingual multi-modal search and access system for biomedical information and documents.

Panacea: Platform for automatic, normalized acquisition of language resources for human language technologies

The objective of PANACEA is to build a factory of LRs that progressively automates the stages involved in the acquisition, production, updaging and maintenance of language resources required by machine translation systems, among other language technology applications and in the time required.

T4ME: Technologies for the multilingual European information society

META-NET/T4ME is a Network of Excellence dedicated to fostering the technological foundations of a multilingual European information society.

Modern methods, structures, and systems of computer science

Basic research in computer science, including theoretical computer science, application of discrete methods nad structures, development and implementation of distributed information systems, and other areas.

Malach: Multilingual access to large spoken archives

The principal goal of MALACH is to develop methods for improved access to large multilingual spoken archives by capitalizing on the unique characteristics (unconstrained natural speech) of the Survivors of the Shoah Visual History Foundation's multimedia digital archive of oral histories.




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