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For the purpose of developing pronunciation training tools for second language learning a corpus of non-native speech data has been collected, which consists of almost 18 hours of annotated speech signals spoken by Italian and German learners of English. The corpus is based on 250 utterances selected from typical second language learning exercises. It has(More)
The work presented in this paper deals with the construction of a large-vocabulary semantic network to assist computerised speech or text recognition. The semantic network is systematically constructed with semantic information about nouns and verbs from the Longman Dictionary of Contemporary English by the application of pattern matching rules. It is(More)
Machine Readable Dictionaries (MRDs) have been used in a variety of language processing tasks including word sense disambiguation, text segmentation, information retrieval and information extraction. In this paper we describe the utilization of semantic knowledge acquired from an MRD for language modelling tasks in relation to speech recognition(More)
An automatic system for detection of pronunciation errors by adult learners of English is embedded in a lan-guage–learning package. Four main features are: (1) a recognizer robust to non–native speech; (2) localization of phone– and word–level errors; (3) diagnosis of what sorts of phone–level errors took place; and (4) a lexical– stress detector. These(More)