20,114 research outputs found

    Spoken content retrieval: A survey of techniques and technologies

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    Speech media, that is, digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or IR who are seeking deeper insight on how these fields are integrated to support research and development, thus addressing the core challenges of SCR

    CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

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    Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

    THE EFFECT OF SEMANTIC NEIGHBORHOOD DENSITY ON VOCABULARY LEARNING IN SPANISH AS A SECOND LANGUAGE AND SPANISH AS A HERITAGE LANGUAGE

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    This dissertation reviews the results from an online survey created to identify and compare how second language (L2) learners and heritage language (HL) learners of Spanish, enrolled in beginning-level coursework at the college level, acquired and built vocabulary. A total of 451 participants completed the survey. The purpose of the online survey was to serve as a baseline for pedagogical purposes, since it provided information about participants’ language profiles and the way they build vocabulary based on sematic relatedness. Overall, the findings from the survey showed that HL and L2 learners differ in the way they build semantic neighborhoods and, in their meaning-making processes. HL participants produced a higher number of Spanish semantic associations for the provided Spanish categories, whereas L2 learners produced a higher number of English semantic associations for both the Spanish and English categories. Additionally, HL learners left more responses blank in both the Spanish and English categories. The findings support the idea that tailored vocabulary pedagogical practices and interventions will benefit and enhance students’ vocabulary development and learning in the Spanish language classroom
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