This paper presents speech-driven Web retrieval models which accepts spoken search topics (queries) in the NTCIR-3 Web retrieval task. We experimentally evaluate the techniques of combining outputs of multiple LVCSR models with a language model(LM) with a 60,000 vocabulary size in recognition of spoken queries. As model combination techniques, we use the SVM learning. We show that the technique...

What role does attention to different object properties play in early vocabulary development? This longitudinal study using event-related potentials in combination with behavioral measures investigated 20- and 24-month-olds' (n = 38; n = 34; overlapping n = 24) ability to use object shape and object part information in word-object mapping. The N400 component was used to measure semantic priming...

This quasi-experimental study investigated the effect of bottom-up and top-down instructional approaches on English as a foreign language (EFL) vocabulary recall and retention. To this end, 44 high school students from two intact classes were assigned to bottom-up (n = 21) and top-down (n = 23) groups. The participants were exposed to 20 hours of explicit vocabulary instruction during 10 weeks ...

This study investigated vocabulary size and vocabulary composition in Greek children aged 1;6 to 2;11 using a Greek adaptation of Rescorla's Language Development Survey (LDS; Rescorla, 1989). Participants were 273 toddlers coming from monolingual Greek-speaking families. Greek LDS data were compared with US LDS data obtained from the instrument's normative sample (Achenbach & Rescorla, 2000). V...

When identifying basic-level categories (e.g., airplane, cow), typically developing (TD) children commonly use the overall shape of objects as basis for their judgments. This so-called shape bias is tied to the size of a child’s vocabulary and as such might be a way of adaptively organizing an evergrowing vocabulary. The current study looks at whether the same is true for children with autism s...

This paper deals with a hybrid word-subword recognition system for spoken term detection. The decoding is driven by a hybrid recognition network and the decoder directly produces hybrid word-subword lattices. One phone and two multigram models were tested to represent sub-word units. The systems were evaluated in terms of spoken term detection accuracy and the size of index. We concluded that t...

Past research on grammar induction has found promising results in predicting parts-of-speech from n-grams using a fixed vocabulary and a fixed context. In this study, we investigated grammar induction whereby we varied vocabulary size and context size. Results indicated that as context increased for a fixed vocabulary, overall accuracy initially increased but then leveled off. Importantly, this...

This paper reports a study which investigated if there was a match between students’ English vocabulary size and the vocabulary load of a locally produced textbook. The analysis of the passages of the pre-university English textbook currently in use in Iran’s education system using RANGE program indicated that in order to comprehend the texts, students need to know not only words from 2000 high...