Niklas Paulsson

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Broadcast news is a very rich source of Language Resources that has been exploited to develop and assess a large set of Human Language Technologies. Some examples include systems to: automatically produce text transcriptions of spoken data; identify the language of a text; translate a text from one language to another; identify topics in the news and(More)
This paper describes the collect and transcription of a large set of Arabic broadcast news speech data. A total of more than 2000 hours of data was transcribed. The transcription factor for transcribing the broadcast news data has been reduced using a method such as Quick Rich Transcription (QRTR) as well as reducing the number of quality controls performed(More)
The goal of the LILA project was the collection of speech databases over cellular telephone networks of five languages in three Asian countries. Three languages were recorded in India: Hindi by first language speakers, Hindi by second language speakers and Indian English. Furthermore, Mandarin was recorded in China and Korean in South-Korea. The databases(More)
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