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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- ESL (7)
- Curriculum development (3)
- EFL (3)
- TESOL (3)
- Automated item creation (2)
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- Context (2)
- Elicited imitation (EI) test items (2)
- L2 strategies (2)
- Language aptitude (2)
- Peirce (2)
- Proficiency (2)
- Pronunciation (2)
- Specifications (2)
- Teacher training (2)
- A probabilistic morphological analyzer (1)
- Academic Word List (1)
- Academic listening (1)
- Academic preparation (1)
- Active learning (1)
- Annotation tasks (1)
- Argument construction (1)
- Automated cross-linguistic-mapping construction (1)
- Automatic language classification (1)
- BTR TESOL (1)
- CCASH (1)
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- Classroom management (1)
- Collocational competence (1)
- Computer-aided pronunciation (1)
- Conferences (1)
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Articles 31 - 38 of 38
Full-Text Articles in Social and Behavioral Sciences
Contextualizing Corrective Feedback In L2 Writing Pedagogy, Norman W. Evans, K. James Hartshorn, Robb M. Mccollum, Mark Wolfersberger
Contextualizing Corrective Feedback In L2 Writing Pedagogy, Norman W. Evans, K. James Hartshorn, Robb M. Mccollum, Mark Wolfersberger
Faculty Publications
Although effective writing skills are vital to the success of university-level students, second language (L2) writers face unique challenges in developing these skills. This is particularly relevant to their ability to produce writing that is linguistically accurate. While many writing teachers feel a great commitment to these students, much of the research has either led to conflicting results or provided teachers with limited practical guidelines that can be utilized effectively in the classroom. This is especially true regarding written corrective feedback (WCF). Therefore, this article provides L2 writing teachers with a paradigm for understanding the WCF debate and interpreting the …
Tag Dictionaries Accelerate Manual Annotation, Deryle W. Lonsdale, Marc A. Carmen, Paul Felt, Robbie A. Haertel, Peter J. Mcclanahan, Eric K. Ringger, Kevin Seppi
Tag Dictionaries Accelerate Manual Annotation, Deryle W. Lonsdale, Marc A. Carmen, Paul Felt, Robbie A. Haertel, Peter J. Mcclanahan, Eric K. Ringger, Kevin Seppi
Faculty Publications
Expert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input provided offline by experts. In addition, expert input can be solicited by way of active learning to make the most of annotator expertise. However, hiring individuals to perform manual annotation is costly both in terms of money and time. This paper reports on a user study that was performed to determine the degree of effect that a part-of-speech dictionary has on a group of subjects performing the annotation task. The user study was …
A Probabilistic Morphological Analyzer For Syriac, Deryle W. Lonsdale, Peter J. Mcclanahan, George Busby, Robbie A. Haertel, Kristian Heal, Kevin Seppi, Eric K. Ringger
A Probabilistic Morphological Analyzer For Syriac, Deryle W. Lonsdale, Peter J. Mcclanahan, George Busby, Robbie A. Haertel, Kristian Heal, Kevin Seppi, Eric K. Ringger
Faculty Publications
We define a probabilistic morphological analyzer using a data-driven approach for Syriac in order to facilitate the creation of an annotated corpus. Syriac is an under-resourced Semitic language for which there are no available language tools such as morphological analyzers. We introduce novel probabilistic models for segmentation, dictionary linkage, and morphological tagging and connect them in a pipeline to create a probabilistic morphological analyzer requiring only labeled data. We explore the performance of models with varying amounts of training data and find that with about 34,500 labeled tokens, we can outperform a reasonable baseline trained on over 99,000 tokens and …
Recovering And Updating Legacy Dictionary Data, Deryle W. Lonsdale, Dawn Bates
Recovering And Updating Legacy Dictionary Data, Deryle W. Lonsdale, Dawn Bates
Faculty Publications
Ongoing efforts to annotate and web-enable Lushootseed language resources involve displaying complex dictionary information in ways suitable for diverse users. In this paper we discuss how we have converted dictionary data from its legacy format into a best-practice, state-of-the-art XML format. We also describe how we have been able to further leverage this XML data by making it compatible with Kirrkirr, a new dictionary browser designed to display dictionary information for Australian aboriginal languages. We sketch the process in adapting the dictionary browser to make it a very workable visualization tool for Lushootseed data as well. We also explain and …
Ontologies For Multilingual Extraction, Deryle W. Lonsdale, David W. Embley, Stephen W. Liddle
Ontologies For Multilingual Extraction, Deryle W. Lonsdale, David W. Embley, Stephen W. Liddle
Faculty Publications
In our global society, multilingual barriers sometimes prohibit and often discourage people from accessing a wider variety of goods and services. We propose multilingual extraction ontologies as an approach to resolving these issues. As envisioned, our ontologies provide a conceptual framework for a narrow domain of interest. Grounding narrow-domain ontologies linguistically enables them to map relevant utterances and text to meaningful concepts in the ontology. Our prior work includes leveraging large-scale lexicons and terminology resources for grounding and augmenting ontological content [12]. Linguistically grounding ontologies in multiple languages enables cross-language communication within the scope of the various ontologies’ domains. Technically, …
Kbb: A Knowledge-Bundle Builder For Research Studies, Deryle W. Lonsdale, David W. Embley, Stephen W. Liddle, Aaron Stewart, Cui Tao
Kbb: A Knowledge-Bundle Builder For Research Studies, Deryle W. Lonsdale, David W. Embley, Stephen W. Liddle, Aaron Stewart, Cui Tao
Faculty Publications
Researchers struggle to manage vast amounts of data coming from hundreds of sources in online repositories. To successfully conduct research studies, researchers need to find, retrieve, filter, extract, integrate, organize, and share information in a timely and high-precision manner. Active conceptual modeling for learning can give researchers the tools they need to perform their tasks in a more efficient, user-friendly, and computer-supported way. The idea is to create “knowledge bundles” (KBs), which are conceptual-model representations of organized information superimposed over a collection of source documents. A “knowledgebundle builder” (KBB) helps researchers develop KBs in a synergistic and incremental manner and …
Principled Construction Of Elicited Imitation Tests, Deryle W. Lonsdale, Carl Chritensen, Ross Hendrickson
Principled Construction Of Elicited Imitation Tests, Deryle W. Lonsdale, Carl Chritensen, Ross Hendrickson
Faculty Publications
In this paper we discuss the methodology behind the construction of elicited imitation (EI) test items. First we examine varying uses for EI tests in research and in testing overall oral proficiency. We also mention criticisms of previous test items. Then we identify the factors that contribute to the difficulty of an EI item as shown in previous studies. Based on this discussion, we describe a way of automating the creation of test items in order to better evaluate language learners’ oral proficiency while improving item naturalness. We present a new item construction tool and the process that it implements …
A Comparison Of Two Tools For Analyzing Linguistic Data: Logistic Regression And Decision Trees, David Eddington
A Comparison Of Two Tools For Analyzing Linguistic Data: Logistic Regression And Decision Trees, David Eddington
Faculty Publications
The present paper compares logistic regression (referred to herein as its implementation in Varbrul) with another method for analyzing linguistic data-decision trees. Comparison of the two methods demonstrates that decision trees are able to find the same sorts of generalizations as Varbrul. However, decision trees provide more coarsely-grained output compared with Varbrul’s more informative factor weights. In addition, decision trees often mistakenly overgeneralize. Nevertheless, decision trees can be used in tandem with Varbrul. Because decision trees automatically calculate interactions, they suggest interaction terms that may be considered in subsequent Varbrul analyses. Decision trees also allow continuous variables in contrast to …