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Developing Component Scor es from Natural
Developing Component Scor es from Natural

... automatic approaches to scoring writing quality have focused on using individual variables related to text length, lexical sophistication, syntactical complexity, rhetorical elements, and essay structure to examine links with writing quality. These variables have proven to be strong indicators of es ...
Morpho I-2 Morphological Analysis
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... or feel about language(s). We take intuitions (introspective judgements) seriously and investigate them methodically, just as we investigate utterances themselves (languagein-use), in order to gain insight into the mental lexicon-and-grammar – the system and subsystems of forms and form-systems and ...
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... offered the student in lectures and textbooks. A traditionally trained linguist is sometimes unable to understand, let alone verify, the relevance of the complicated apparatus introduced into some modern linguistic publications. On the other hand, it is the linguistic science developed before struct ...
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... the construction of a parse tree. For instance, when parsing bottom-up and depth-first, these strategies do not say which word in the input string we should start with. We could start with the first, but this is only one possibility. When parsing top-down, any of the possible constituents of the pre ...
Optimizing Grammars for Minimum Dependency Length
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... to a given head, the space of DLAs is enormous, and the problem of finding the optimal DLA is a difficult one. One way to break the problem down is to model the DLA as a set of weights for each type of dependency relation. Under this model the word order is determined by placing all dependents of a ...
Welcome! [www.etai.org.il]
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UAS Writing Style Guide - University of Alaska Southeast
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... weaknesses in process modelling languages. They speculate that business rule modelling languages can overcome these weaknesses, but the integration of rule and process modelling is seen as problematic. They refer to a recent study showing that organisations frequently supplement their business proce ...
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4. Categorizing and Tagging Words
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... preposition. However, tag sets differ both in how finely they divide words into categories; and in how they define their categories. For example, is might be just tagged as a verb in one tag set; but as a distinct form of the lexeme BE in another tag set (as in the Brown Corpus). This variation in t ...
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Stemming

Stemming is the term used in linguistic morphology and information retrieval to describe the process for reducing inflected (or sometimes derived) words to their word stem, base or root form—generally a written word form. The stem need not be identical to the morphological root of the word; it is usually sufficient that related words map to the same stem, even if this stem is not in itself a valid root. Algorithms for stemming have been studied in computer science since the 1960s. Many search engines treat words with the same stem as synonyms as a kind of query expansion, a process called conflation.Stemming programs are commonly referred to as stemming algorithms or stemmers.
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