In order to help ESL missionaries teach the gospel from their hearts using their own words, I have developed a 500-word list of core gospel vocabulary in English. To enhance the 500-word list, I included a lexicon with simple definitions, some grammatical information, and examples of the words in context. The resulting product complies with the standards for master's projects established by the Department of Linguistics and English Language. Published literature shows that the development of specialized corpora can be beneficial for students learning another language. Additionally, specialized corpora act as a catalyst for in-depth vocabulary analysis and the development of other materials associated with the field of language acquisition. Using the 5,013 lexical items from the Preach My Gospel manual and related materials, I developed a specialized vocabulary list of 500-words. To achieve this, I used a number of strategies to reduce the larger compilation of words into the most useful and essential core vocabulary: a pre-rating selection that resulted in 2,419 words, a non-native ESL-instructor rating that resulted in the selection of 994 words, a post-rater researcher analysis that resulted in 425 words, a range-and-frequency analysis that resulted in 634 words, and a think-out-loud analysis that resulted in 500 words. After creating the 500-word list, I implemented and tested the materials with ESL missionaries at the Missionary Training Center (MTC) in Provo, Utah. I gathered feedback from ESL teachers and missionaries through interviews and a questionnaire. Based on their responses, I determined that the 500-word list is useful in helping missionaries learn essential vocabulary and to teach gospel topics in English. Furthermore, the materials have drawn attention from administrators and developers at the MTC, creating a springboard for future projects at the MTC.

While recorded speech audiometry materials have been developed in Spanish for adults, currently there are no speech audiometry materials available in Spanish that are suitable for a pediatric population. Thus, the purposes of this study were (a) to analyze Spanish bisyllabic words previously developed for adults to determine the words' appropriateness when testing word recognition scores in native Spanish-speaking children and (b) to compare the logistic regressions results from the Spanish adult data obtained in a previous study with the logistic regressions from Spanish pediatric data obtained in the present study. Using common-use children's dictionaries in the Spanish language, a subset of child-appropriate words was adapted from a set of materials developed for Spanish adults. A total of 129 frequently used bisyllabic words were chosen; the words were split into five lists; four lists contained 26 words and one list contained 25 words; each was digitally recorded by both male and female Spanish talkers. Twenty native Spanish-speaking children with normal hearing between the ages of four and eight years were selected to listen to words to obtain psychometric functions. Each word was presented to the listener at 5 levels of intensity from -5 to 35 dB HL in increments of 10 dB. Custom software was used to control randomization, timing, and presentation of the words. The participants were not familiarized with the words prior to testing. The words received a ranked order based on performance to create lists and half-lists that were equivalent. Logistic regression was used to calculate psychometric functions for the lists and half-lists. Subsequently, a chi-square analysis was completed. The analysis revealed no statistical differences among the lists and half-lists for either male or female talkers. The mean bisyllabic psychometric function slopes for lists and half-lists were 5.0%/dB for the male-talker words and 5.2%/dB for the female-talker words. The 50% threshold for male and female were 16.2 dB HL and 15.5 dB HL, respectively.

The Exclusive System to Learn-Not Just Memorize-Essential Words A powerful vocabulary opens a world of opportunity. Building your word power will help you write more effectively, communicate clearly, score higher on standardized tests like the SAT, ACT, or GRE, and be more confident and persuasive in everything you do. But in order to truly increase your vocabulary, you need a system that works. With most guides, you end up only memorizing the new words for a short time, often not even long enough to use them in tests. Fiske WordPower is different. Using the exclusive Fiske system, you will not just memorize words, but truly learn their meanings and how to use them correctly. This knowledge will stay with you longer and be easier to recall-and it doesn't take any longer than less-effective memorization. How does it work? This book uses a simple three-part system: 1. Patterns: Words aren't arranged randomly or alphabetically, but in similar groups that make words easier to remember over time. 2. Deeper Meanings, More Examples: Full explanations-not just brief definitions-of what the words mean, plus multiple examples of the words in sentences. 3. Quick Quizzes: Frequent short quizzes help you test how much you've learned, while helping your brain internalize their meanings. Fiske WordPower is the most effective system for building a vocabulary that gets you clear and successful results. / https://dc.etsu.edu/alumni_books/1024/thumbnail.jpg

Here are the 250 most important words students need to know to be successful in college and beyond, from the former education editor of the New York Times and a leading authority on college admissions. Each entry contains information on the word origin, a complete definition, and example sentences, making it both the perfect gift for high school graduation and an effective tool for expanding a student's vocabulary, increasing word comprehension, and honing their writing skills. This is the perfect book for giving young adults entering college or starting a career a clear advantage before they begin / https://dc.etsu.edu/alumni_books/1025/thumbnail.jpg

The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Arabic monosyllabic word lists to use in the measurement of the word recognition score. Familiar Arabic monosyllabic words were digitally recorded by a native male talker from Jordan who was judged to have a standard Arabic dialect. Twenty native Arabic participants with normal hearing were used as subjects to determine the percentage of correct word recognition for each word at 10 intensity levels ranging from -5 to 40 dB HL in 5 dB increments. The monosyllabic word data were analyzed using logistic regression. The words producing the steepest psychometric function were included in the final word lists. Four lists of 50 words each were created and eight half-lists (25 words each) were created from the four lists. A Chi-square analysis was performed, revealing no statistical differences among the lists and half-lists. The mean monosyllabic psychometric function slopes at 50% for lists and half-lists were 4.8%/dB.

The present study investigates which of two vocabulary learning methods best promotes long-term retention of the meaning and spelling of words. The first method is rote learning, i.e. learning by word lists, which requires pupils to memorize the meaning of new words by L1 translation. The second method is learning by sentence writing, which requires pupils to memorize new words by making up their own sentences in order to establish links between old and new knowledge.   16 pupils took part in the experiment; all were approximately 11 years old. The participants were randomly assigned to two groups. All the participants were given one receptive and one productive recall test, both in the immediate and delayed post-tests. The result demonstrates that pupils who learn words using word lists only remember words in the short-term retention, while the sentence writing method results in greater long-term retention.

There has been increasing interest in research on creating word lists in the past decade with more than 60 separate lists being published along with Nation’s (2016) timely Making and Using Word Lists for Language Learning and Testing. However, this focus on word lists has primarily been on creating them and has not necessarily extended to looking at how they are actually used. In order to help answer the question of how these lists are utilized in practice, this exploratory, interpretive study based on interviews with teachers and assessment/curriculum developers looks at how word lists are used at five tertiary English foundation programs in the United Arab Emirates. The main findings include the following. Insufficient vocabulary knowledge was deemed one of the most significant problems that students faced. Additionally, word lists played a role in all five of the institutions represented in the study, and the Common European Framework (CEFR) was used in conjunction with vocabulary frequency lists to help set expected vocabulary learning in some programs. Furthermore, teacher intuition was used to modify lists in three of the five programs and online applications were used in all five programs. The thesis explores a number of areas in depth including: how vocabulary lists are being used in the programs, the use of the AWL in this context and potential problems related to this, the role of teacher intuition in the customization of lists, the role of CEFR related frameworks in these programs, the use of computer applications to assist with list vocabulary acquisition, what the selected vocabulary acquisition activities tell us about beliefs about vocabulary teaching and learning, and some final comments about utilizing a list. One of the key findings was the development of a novel framework for categorizing the use of word lists into four general areas: course planning, teaching and learning, assessment and materials development with sub-categories for each. This framework and the related examples could be utilized to evaluate the suitability of specific lists and to help set developmental targets for the process of adopting a new list and transforming it into something that could be used to direct and support vocabulary teaching and learning. It could also be developed further as more examples of practice emerge in different contexts and hopefully set the stage for more development about how vocabulary lists are used.

The Academic Vocabulary List (AVL) was produced by a rationale for word inclusion improved from the methodology used to generate Coxhead's AWL (Gardner & Davies, 2014). It offers a comprehensive view of high frequency academic vocabulary that could greatly benefit ELLs if implemented into ELL curricula (Gardner & Davies, 2014). However, because of the newness of the list, there are few learning resources currently utilizing the AVL. The major objective of this thesis project was to create digital flashcards for the first 500 words of the AVL to increase the list's accessibility to ELLs and teachers worldwide. These flashcards were made available through Quizlet's online interface. This paper describes the two types of flashcards developed: AVL words paired with simplified English (learner) definitions, and AVL words paired with L1 translations into seven languages. It further describes an evaluation of these flashcards by ESOL teachers working at a U.S. intensive English program, and concludes with suggestions for the future development of AVL learning resources.

This study investigated the significance of semantics in computer-generated word frequency counts in response to a call for new word lists (Read, 2000; Gardner, 2007). Read claims that no corpus projects to date have produced any "definitive, stand-alone word-frequency lists" (p. 226). Many researchers are wary of the fact that the concept of a word is never clearly defined in most studies that have dealt with word frequency counts. It is clear from the research that one universally acceptable construct for the concept of word does not exist. In fact, many past word frequency counts only examine word forms without considering the word meanings and the possible effects of homography on lists. Ming-Tzu and Nation (2004) did some research on the Academic Word List (AWL) that addresses some criticisms of word-frequency lists. They evaluate the extent of homography throughout the AWL. However, words found in the AWL are often not a part of the highest frequency word-forms in English. The present study focuses on high frequency words. It evaluates a randomized sample of 46 lemmas that occur at least 1500 times in the British National Corpus (BNC). A further random sampling of 200 examples for each lemma, in context, was semantically analyzed and tallied. One hundred of these examples were from the written portion and the other 100 from the spoken portion. The list of meanings for each word was compiled using conflated WordNet senses and some additional senses. Each context was double and sometimes triple rated. The results indicate that the impact of semantic frequency versus form-based frequency is considerable. The study suggests that the presence of homography tends to be extensive in many high-frequency word forms, across major registers of the language, and within each of the four major parts of speech. It further suggests that basing frequency on semantics will considerably alter the content of a high-frequency word list.

Scholars have repeatedly contrasted the 1805 and 1850 versions of William Wordsworth’s The Prelude since the discovery and publication of the former by Ernest De Sélincourt in 1926. Points of contention have included the 1850 poem’s grammatical revisions and shifts toward greater political and religious orthodoxy. While these discussions have waned in recent decades, digital humanities tools allow us to revisit oft-debated texts through new lenses. Wanting to examine scholarly claims about The Prelude from a digital humanities perspective, I collaborated with Dr. Billy Hall to enter both versions of the poem into a data analysis and visualization tool, which displayed the results in topic-modeling outputs and most-frequent-words lists. The 1805 and 1850 topic modeling outputs were essentially identical to one another, suggesting either that scholars have overstated differences between the versions or that the themes of the poem may have evolved in ways not easily captured by my digital humanities methods. On the other hand, the most-frequent-words lists revealed some notable discrepancies between the two Preludes. One set of lists included articles, conjunctions, pronouns, and linking verbs (otherwise known as “stop words”), demonstrating, for instance, that the word “was” appeared with significantly less frequency in the 1850 Prelude. I found that other linking verbs also decreased in the 1850 Prelude, and this discovery prompted me to conduct a stylistic analysis of said verbs. Knowing that a raw statistical count of linking verbs in both texts would reveal only an incomplete portrait of Wordsworth’s shifting verb usage, I divided the verb revisions into two primary categories: replacements of linking verbs with dynamic verbs and descriptors, and removals of lines containing linking verbs. While scholars have previously highlighted the replacement of linking verbs with dynamic verbs and descriptors in the 1850 Prelude, these revisions only account for 30% of the 1850 linking verb revisions. In fact, the majority of linking verb revisions consist of removed 1805 lines. Many of these lines are declarative statements—the removal of which suggests that Wordsworth preferred, in some cases, a less prescriptive approach in the 1850 Prelude.