In this contribution we present some design considerations concerning our large vocabulary continuous speech recognition system in French. The impact of the epoch of the text training material on lexical coverage, language model perplexity and recognition performance on newspaper texts is demonstrated. The effectiveness of larger vocabulary sizes and larger text training corpora for language mo...

Early use of corpora for language learning has included analysis of word usage via concordancing. In addition, some attempts have been made to use readability criteria for recommending reading to learners. In this paper we discuss various tools and approaches for enhanced language learning support, including different methods of filtering text based on vocabulary and grammatical criteria. We de...

One of the challenges for Large Vocabulary Continuous Speech Recognition (LVCSR) of German is its complex morphology and high level of compounding. It leads to high Out-of-vocabulary (OOV) rates, and poor Language Model (LM) probabilities. In such cases, building LMs on morpheme level can be considered a better choice. Thereby, higher lexical coverage and lower LM perplexities are achieved. On ...

State-of-the-art content sharing platforms often require users to assign tags to pieces of media in order to make them easily retrievable. Since this task is sometimes perceived as tedious or boring, annotations can be sparse. Commenting on the other hand is a frequently used means of expressing user opinion towards shared media items. This work makes use of time series analyses in order to inf...

This article considers the problem of how to bring foreign language students with a limited vocabulary knowledge, consisting mainly of high-frequency words, to the point where they are able to adequately comprehend authentic texts in a target domain or genre. It proposes bridging the vocabulary gap by first determining which word families account for 95% of the target domain's running words, an...

This research develops methods that enable spoken language systems to detect and correct their own errors, automatically extending themselves to incorporate new words. The occurrence of unknown or out-of-vocabulary words is one of the major problems frustrating the use of automatic speech understanding systems in real world tasks. Novel words cause recognition errors and often result in recogni...