Qatar Computing Research Institute (QCRI) and EML European Media Laboratory in Heidelberg, Germany, have combined efforts to develop an automatic language transcription system for Arabic.
Automatic language transcription applications are wide-ranging. Video and audio content, from broadcast news programmes to lectures and meetings, will become searchable, enabling knowledge sharing. It benefits hearing-impaired people. It also helps in communication of messages in quiet areas such as libraries or noisy environments such as airports.
The main goal of QCRI’s Arabic language technologies team is to develop technology, which helps break down language barriers to improve access to information and the ability to communicate.
Combined efforts of QCRI and EML will rapidly progress the development of high performance Arabic language components on the EML Transcription Platform. It will ultimately provide a rich source for Arabic language data collection to further enhance QCRI’s speech recognition models.
Dr Ahmed Elmagarmid, Executive Director, QCRI said: “Our collaboration with EML is an ideal union of expertise in language technology research.”
“We are excited about the collaboration with QCRI for two reasons: First, it gets us into contact with a world-class research organisation, especially in the area of language-oriented technologies, and second, we can add another extremely important language to our portfolio,” said Prof Andreas Reuter, CEO, EML.
EML has developed the EML Transcription Platform, a scalable speech recognition platform that is language independent.
Source:
Qatar chronicle
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