Global ETD Search
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Showing 1 to 4 of 4 for “"word features"”.
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Towards an Integrated Model of the Mental Lexicon
… the mental lexicon-the abstract organization of words in the human mind. Numerous studies have shown that by representing the mental lexicon as a network, where nodes represent words and edges connect similar words using a metric based on some word feature, a <em>small-world</em> structure is …
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Named entity recognition for Icelandic: comparing and combining different machine learning methods
… model that combined both shallow language features with unsupervised word clusters (ixa-pipes). The second model was a Conditional Random Field (CRF) model that used word features, but also made use of gazetteers. These models, in addition to the neural model, were then combined in a single …
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A Large Collection Learning Optimizer Framework
… like cleaning, lemmatizing, and removal of stop words and special characters will give us clean text which can be further processed to derive richer word semantic and syntactic relationships using state of the art feature selection techniques like Word2Vec. Machine learning techniques, using word …
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Academic Writing and the Pedagogical Practices of Effective Teachers
… structure and local operations related to word and sentence-level features define academic writing. A mixed-methods design used quantitative methods for investigation of five corpora of 10th grade students' work. Qualitative methods were used to explore the means teachers used in promoting …