query expansion using phonetic confusions for chinese spoken document retrieval
This paper presents a method of query expansion based on phonetic confusions for retrieving spoken documents using text queries. This method is applied to a Chinese spoken document retrieval task. A series of experiments have been carried out for Cantonese broadcast news documents using a multi-scale syllable-based retrieval approach. Our results show an improvement from AIR (average inverse rank) of 0.481 to 0.491 when we apply query expansion based on phonetic confusions to our retrieval task.
query expansion chinese spoken document retrieval