A task independent spoken Language Identi cation (LID) system which uses a Large Vocabulary Automatic Speech Recognition (LVASR) module for each language to choose the most likely language spoken is described in detail. The system has been trained on 5 languages: English, German, Japanese, Mandarin Chinese and Spanish. In this paper it is demonstrated that the performance of a LID system which ...

Despite the significant advances in syntactic parsing of written text, the application of these techniques to spontaneous spoken language has received more limited attention. The explosive growth of available corpora of transcribed spoken language opens up new opportunities in that direction. High accuracy parsers for spoken language will in turn provide a platform for development of a wide ran...

Spoken language understanding (SLU) aims to map a user’s speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between e...

Across spoken languages, properties of wordforms (e.g. the sounds in the word hammer) do not generally evoke mental images associated to meanings. However, across signed languages, many signforms readily evoke mental images (e.g. the sign HAMMER resembles the motion involved in hammering). Here we assess the relationship between language and imagery, comparing the performance of English speaker...