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PREDICTING MUSIC GENRE PREFERENCES BASED ON ONLINE COMMENTS
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In: Master's Theses (2014)
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Why Microsoft Arabic Spell checker is ineffective
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In: ISSN: 0851-6774 ; Linguistica Communicatio ; https://hal.archives-ouvertes.fr/hal-01081965 ; Linguistica Communicatio, http://www.al-erfan.com/, 2014, Arabic Language in Information Technology, 16, pp.55 ; http://www.al-erfan.com/ (2014)
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Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs ...
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Entity Information Extraction using Structured and Semi-structured resources ...
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The Role of Emotional and Facial Expression in Synthesised Sign Language Avatars
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In: Other Resources (2014)
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Perception Based Misunderstandings in Human-Computer Dialogues
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In: Articles (2014)
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The Effect of Sensor Errors in Situated Human-Computer Dialogue
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In: Conference papers (2014)
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Exploring issues in lexical acquisition using Bayesian modelling
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ALCIDE: An online platform for the Analysis of Language and Content In a Digital Environment
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Lines of succession in an English ballad tradition: the publishing history and textual descent of The Wandering Jew’s chronicle
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Unsupervised Knowledge-based Word Sense Disambiguation: Exploration & Evaluation of Semantic Subgraphs
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Word vector-space embeddings of natural language data over time
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An Interpretation of Sheldon Klein's Four Valued Analogical Transformational Operator
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Midmore, Roger. - : University of Wisconsin-Madison Department of Computer Sciences, 2014
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Investigating the Language of Engineering Education
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Abstract:
A significant part of professional communication development in engineering is the ability to learn and understand technical vocabulary. Mastering such vocabulary is often a desired learning outcome of engineering education. In promoting this goal, this research investigates the development of a tool that creates wordlists of characteristic discipline-specific vocabulary for a given course. These wordlists explicitly highlight requisite vocabulary learning and, when used as a teaching aid, can promote greater accessibility in the learning environment. Literature, including work in higher education, diversity and language learning, suggest that designing accessible learning environments can increase the quality of instruction and learning for all students. Studying the student/instructor interface using the framework of Universal Instructional Design identified vocabulary learning as an invisible barrier in engineering education. A preliminary investigation of this barrier suggested that students have difficulty assessing their understanding of technical vocabulary. Subsequently, computing word frequency on engineering course material was investigated as an approach for characterizing this barrier. However, it was concluded that a more nuanced method was necessary.This research program was built on previous work in the fields of linguistics and computer science, and lead to the design of an algorithm. The developed algorithm is based on a statistical technique called, Term Frequency-Inverse Document Frequency. Comparator sets of documents are used to hierarchically identify characteristic terms on a target document, such as course materials from a previous term of study. The approach draws on a standardized artifact of the engineering learning environment as its dataset; a repository of 2254 engineering final exams from the University of Toronto, to process the target material. After producing wordlists for ten courses, with the goal of highlighting characteristic discipline-specific terms, the effectiveness of the approach was evaluated by comparing the computed results to the judgment of subject-matter experts. The overall data show a good correlation between the program and the subject-matter experts. The results indicated a balance between accuracy and feasibility, and suggested that this approach could mimic subject-matter expertise to create a list discipline-specific vocabulary from course materials. ; Ph.D.
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Keyword:
0537; Accessibility; Computational Linguistics; Engineering Education; Industrial Engineering; Learning Barriers; Vocabulary
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URL: http://hdl.handle.net/1807/68121
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Identification of Informativeness in Text using Natural Language Stylometry
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In: Electronic Thesis and Dissertation Repository (2014)
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Cosine Similarity for Article Section Classification: Using Structured Abstracts as a Proxy for an Annotated Corpus
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In: Electronic Thesis and Dissertation Repository (2014)
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Egyptian Arabic Plurals in Theory and Computation
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In: Theses and Dissertations--Linguistics (2014)
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An empirical study of semantic similarity in WordNet and Word2Vec
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In: University of New Orleans Theses and Dissertations (2014)
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COMPUTATIONAL COMMUNICATION INTELLIGENCE: EXPLORING LINGUISTIC MANIFESTATION AND SOCIAL DYNAMICS IN ONLINE COMMUNICATION
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In: Doctoral Dissertations (2014)
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Computational Modeling of Learning Biases in Stress Typology
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In: Doctoral Dissertations (2014)
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