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Concordancing is a technique which analyzes text corpora to show how any given word or phrase in the text is used in the immediate contexts in which it appears. The main focus of this technique consist in discovering patterns and rules of authentic language use through analysis of actual usage, and generating theories of what does not account for the probable choices that speakers actually make. In...
This paper presents a requirement ontology which can represent both sentence level semantics which means semantics in the structure of a sentence, and word level semantics which means the meaning of a word. In this way, complete semantics of a sentence can be described. The Generalized Upper Model (GUM) is a widely used linguistically motivated ontology which supplies a hierarchy of general concepts...
The algorithm is being developed with a view to reduce the time of going through entire document. The tool will be able to summarize textual documents automatically using statistical as well as linguistic techniques. It will provide the much needed method for creating concise and yet precise documents.
In this paper, experiments have addressed the calculation of inter-annotator inconsistency in selecting the content in both manual and automatic summarization of sample TOEFL essays. A new finding is that the linguistic quality of source essay has a very strong correlation with the degree of disagreement among human assessors to what should be included in a summary. This leads to a fully automated...
Keyword extraction has been a very traditional topic in Natural Language Processing. However, most methods have been too complicated and slow to be applied in real applications, for example in web-based system. This paper proposes an approach which will complete some preparing works focusing on exploring the linguistic characteristics of a specific domain. This part can be completed once and for all...
Text generation systems, such as pun generators, depend on manually created templates which require a lot of effort to build. This paper presents T-Peg, a system that utilizes semantic and phonetic knowledge sources to automatically capture the wordplay patterns of human-made jokes from training examples. The knowledge learned are stored as templates which, combined with a keyword input from the user,...
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