نتایج جستجو برای: academic text genres
تعداد نتایج: 314461 فیلتر نتایج به سال:
Standard entity clustering systems commonly rely on mention (string) matching, syntactic features, and linguistic resources like English WordNet. When co-referent text mentions appear in different languages, these techniques cannot be easily applied. Consequently, we develop new methods for clustering text mentions across documents and languages simultaneously, producing cross-lingual entity cl...
The research work carried out in this thesis focuses on Text Summarisation, proposing and developing compendium Text Summarisation tool. This tool takes into account the cognitive perspective, that provides insights of how humans summarise, as well as computational issues needed for its automation. For evaluating compendium, we selected different corpora belonging to a wide range of domains and...
We compare the performance of two lexiconbased sentiment systems – SentiStrength (Thelwall et al., 2012) and SO-CAL (Taboada et al., 2011) – on the two genres of newspaper text and tweets. While SentiStrength has been geared specifically toward short social-media text, SO-CAL was built for general, longer text. After the initial comparison, we successively enrich the SO-CAL-based analysis with ...
Network Text Analysis (NTA) involves the creation of networks of words and/or concepts from linguistic data. Its key insight is that the position of words and concepts in a text network provides vital clues to the central and underlying themes of the text as a whole. Recent research has relied on inductive approaches to identify these themes. In this study we demonstrate a deductive approach th...
the present research was conducted to explore the effect of employing two language teaching approaches, i.e. schema-based instruction (sbi) and translation-based instruction (tbi), on vocabulary knowledge, structure and reading comprehension ability of forty one female students learning english in grade one senior high school in rivash, kuhsorkh, iran. while sbi focuses on schemata, i.e. words ...
Network Text Analysis (NTA) involves the creation of networks of words and/or concepts from linguistic data. Its key insight is that the position of words and concepts in a text network provides vital clues to the central and underlying themes of the text as a whole. Recent research has relied on inductive approaches to identify these themes. In this study we demonstrate a deductive approach th...
intertextuality is one of the most important theories in comparative literature, because it deals with effectiveness of literature, just like comparative literature. the theorists believe that any text is the result of absorption and transformation of another text. the maqama technique has had a great impact on european literature in terms of fiction writing and has technically inspired picares...
Anchor text plays a special important role in improving the performance of general Web search, due to the fact that it is relatively objective description for a Web page by potentially a large number of other Web pages. Academic Search provides indexing and search functionality for academic articles. It may be desirable to utilize anchor text in academic search as well to improve the search res...
The aim of this study is to find a minimal size of text samples for authorship attribution that would provide stable results independent of random noise. A few controlled tests for different sample lengths, languages and genres are discussed and compared. Although I focus on Delta methodology, the results are valid for many other multidimensional methods relying on word frequencies and "nearest...
Genres can be understood in many different ways. They are often perceived as a primarily sociological construction, or, alternatively, as a stylostatistically observable objective characteristic of texts. The latter view is more common in the research field of information and language technology. These two views can be quite compatible and can inform each other; this present investigation discu...
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