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The goal of the study is to predict acoustic features of expressive speech from semantic vector space representations. Though a lot of successful work was invested in expressiveness analysis and prediction, the results often involve manual labeling, or indirect prediction evaluation such as speech synthesis. The proposed analysis aims at direct acoustic feature prediction and comparison to original...
A framework for extracting semantic relational words in Bangla is presented in this paper. Here extraction of Synonyms, Antonyms, Hyponym, Hypernym, Meronym, Holonym and Polysemy are primarily investigated as a rule based model. For every word two other things: concept and parts of speech category are also presented for clarification. A semantic analyzer is used to extract these relations from nouns,...
The reliability of a question answering system is bounded by the availability of resources and linguistic tools. In this paper, we introduce a hybrid approach to transforming natural language questions into structured queries. It alleviates the lack of experts in domain observation and the deficient performance of linguistic tools. Specifically, we exploit the semantic information for mapping natural...
Identifying the Genre of an audiovisual document is among the major challenges for multimedia retrieval. Indeed, the lack of semantic metadata extraction makes these resources underused in the retrieval process. To overcome these difficulties, the extraction of semantic descriptions requires an analysis of the audiovisual document's content. The automation of the process of describing audiovisual...
Nowadays, every information is easily available in digital form as documents over the internet. So, it is very easy to copy and access those documents on the internet. When we copy someone's content or idea without permission or citation then plagiarism occurs. This is a very big problem, as it violates the sharing of important information among valid users. According to this paper, we developed a...
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