Academic literature on the topic 'Word frequency lists'
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Journal articles on the topic "Word frequency lists"
Keller, Howard H. "Word Frequency and Pedagogical Value: Contrasting Textbook Vocabulary Lists with Word Frequency Counts." Slavic and East European Journal 35, no. 2 (1991): 228. http://dx.doi.org/10.2307/308316.
Full textConiam, David. "Word-Processing “Efficiency”—By Means of Personalized Word-Frequency Lists." Journal of Technical Writing and Communication 31, no. 2 (April 2001): 175–87. http://dx.doi.org/10.2190/jpe7-hh4d-yxtx-wgjf.
Full textCulligan, Brent. "Evaluating Corpora with Word Lists and Word Difficulty." Vocabulary Learning and Instruction 8, no. 1 (2019): 29–38. http://dx.doi.org/10.7820/vli.v08.1.culligan.
Full textYorkston, Kathryn M., Kathleen Smith, and David Beukelman. "Extended Communication Samples of Augmented Communicators I." Journal of Speech and Hearing Disorders 55, no. 2 (May 1990): 217–24. http://dx.doi.org/10.1044/jshd.5502.217.
Full textDang, This Ngoc Yen, and Stuart Webb. "Evaluating lists of high-frequency words." ITL - International Journal of Applied Linguistics 167, no. 2 (December 31, 2016): 132–58. http://dx.doi.org/10.1075/itl.167.2.02dan.
Full textNeath, Ian, and Philip T. Quinlan. "The item/order account of word frequency effects: Evidence from serial order tests." Memory & Cognition 49, no. 6 (March 30, 2021): 1188–203. http://dx.doi.org/10.3758/s13421-021-01144-7.
Full textLohnas, Lynn J., and Michael J. Kahana. "Parametric effects of word frequency in memory for mixed frequency lists." Journal of Experimental Psychology: Learning, Memory, and Cognition 39, no. 6 (2013): 1943–46. http://dx.doi.org/10.1037/a0033669.
Full textHelmbold, Bruce. "Words We Would Want: Comparison of Three Pre-programmed Vocabulary Sets With Frequently Used Words in English." Perspectives on Augmentative and Alternative Communication 17, no. 4 (December 2008): 156–64. http://dx.doi.org/10.1044/aac17.4.156.
Full textCalhoon, J. Anne, and Lauren Leslie. "A Longitudinal Study of the Effects of Word Frequency and Rime-Neighborhood Size on Beginning Readers' Rime Reading Accuracy in Words and Nonwords." Journal of Literacy Research 34, no. 1 (March 2002): 39–58. http://dx.doi.org/10.1207/s15548430jlr3401_2.
Full textStuart, Morag, Maureen Dixon, Jackie Masterson, and Bob Gray. "Children's early reading vocabulary: Description and word frequency lists." British Journal of Educational Psychology 73, no. 4 (December 2003): 585–98. http://dx.doi.org/10.1348/000709903322591253.
Full textDissertations / Theses on the topic "Word frequency lists"
Graham, Athelia. "The Effects of Homography on Computer-generated High Frequency Word Lists." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2692.pdf.
Full textBrown, Christine Mary. "Assessing the Readability of Māori Language Texts for Classroom Use." Thesis, University of Canterbury. Māori and Indigenous Studies, 2009. http://hdl.handle.net/10092/4015.
Full textChapman, Allison M. "List length and word frequency effects in the Sternberg paradigm." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337818585.
Full textDilbaitė, Indrė. "Konceptualiųjų metaforų vertimas lygiagrečiajame anglų-lietuvių kalbų ES dokumentų tekstyne." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100617_112544-87348.
Full textThis research is based on conceptual metaphors that were manually extracted from the English-Lithuanian corpus of European Union documents, the translation was analyzed. Normally it is uncommon to find many figures of speech in official texts, but metaphor is a component of all languages. The conceptual metaphor is naturalized in most uncommon areas without being noticed unless specifically investigated. Conception of metaphor and its types are defined in this work. Conceptual metaphor is presented, as well as possible classifications – by conventionality, by cognitive function they perform (classified into structural, ontological and orientational metaphors) as well as generality of metaphor. After presenting the identification criteria and methods, conceptual metaphors were extracted from the frequency lists of two-word and three-word combinations. Each conceptual metaphor was analyzed and classified as structural, ontological or orientational in accordance with the functions they perform. Translation of each metaphor was located in the English-Lithuanian parallel corpus of EU documents, in order to determine if the combinations retained their conceptuality; if it was obtained only in translation; if it vanished in translation. It was discovered that the majority of the most frequently used English and Lithuanian conceptual metaphors remained in translation, 61% and 69% respectively. The most typical, most frequently used conceptual metaphors are translated in the parallel... [to full text]
KUO, MIAO-SHAN, and 郭妙珊. "A Corpus Analysis of Word Frequency Lists and Lexical Coverage in British Animation Peppa Pig." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/13287240555160908062.
Full text南臺科技大學
應用英語系
104
In an EFL context like Taiwan, learners are hardly exposed to a sufficient amount of language input. Efficient vocabulary learning is thus necessary to English learners here in Taiwan. In the past, considerable attention has been paid to the vocabulary of textbooks. Relatively little research has been done on vocabulary in authentic materials. This study set out to investigate the word frequency and vocabulary size to comprehend British children’s animation Peppa Pig. The purpose of the present research is to explore the current British animation Peppa Pig from corpus perspective. The primary research goals are: (1) to investigate the frequency word list in British animation Peppa Pig, (2) to compare these frequent words with 1,200 words of Junior High and Elementary School promulgated by MOE, (3) to examine the lexical coverage of British animation Peppa Pig using two different corpus, NGSL and NAWL as well as BNC/COCA lists. In addition, the comparisons between the results of the two sets of lists is discussed. (4) to investigate the words of Not found in the BNC/COCA lists consisting of the vocabulary items in the programs. The scripts of 196 episodes of British animation Peppa Pig were analyzed using AntConc program to check the frequency word list, as well as AntWordprofiler program with NGSL, NAWL and BNC/COCA lists respectively. The results show that NGSL with NAWL plus its supplemental words cover 83.62% of the Peppa Pig corpus while the BNC/COCA lists provide 97.69% coverage in the target corpus. The first 1,000 word families in the BNC/COCA lists rank the highest coverage of the animation. Proper nouns and marginal words rank the third and fourth highest coverage after the first and second 1,000 word families. Qualitative analysis is carried out to compare the differences between coverage in Peppa Pig by the two sets of lists. BNC/COCA lists provide approximately 9% higher than NGSL in the first 1,000 word level, while they have little discrepancy (0.06%) in the second 1,000 word level. Over 2 % coverage of words cannot be found in the BNC/COCA lists , which are belonged to the following categories: proper nouns, marginal words, interlanguage, compounds, words from other language and should-be listed words. Moreover, it is found that 930 words are overlapped between the words in Peppa Pig and 1,200 words of MOE. The lexical gap between MOE’s 1,200 words and 5,00 high-frequency words are mainly proper nouns, marginal words, inflections and derivations, child-directed speech vocabulary, games and role playing lexicon, and daily English words. It is hoped that this study can provide quantitative information and qualitative interpretation of this children’s animation, and help English educators and learners know more vocabulary knowledge about children’s animation and facilitate language learning.
Kao, Yung-ching, and 高永欽. "A Corpus Analysis of Word Frequency Lists and Lexical Coverage for Senior High School English Textbooks and the Reading Comprehension Tests of JCEE." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/09503043681374424217.
Full text國立臺灣科技大學
應用外語系
102
The present study aims to explore and compare the most frequently used words, the overlapping rate, the general words, academic words, and lexical coverage between senior high school English textbooks and the reading comprehension tests of the Joint College Entrance of Examination (JCEE). Two corpora were compiled: one corpus is the textbook corpus (henceforth referred to as the Textbook Corpus), consisting of three sets of Taiwanese senior high school English textbooks-San Min (henceforth referred to as TA), Far East (henceforth referred to as TB), and Lunteng (henceforth referred to as TC); the other one is the JCEE Corpus, containing the reading comprehension tests of JCEE from 2001 to 2014. Three corpus software, AntConc, AntWordProfiler, and Range were used for data analysis. Based on the results of this study, the researcher pointed out the right directions for senior high school students to prepare for General Scholastic Ability Test (GSAT) and Department Required Test (DRT) of the college entrance examinations, and the shortage of vocabulary provided by senior high school English textbooks. The author also puts forward several suggestions for learners, teachers, and textbook publishers to end up this thesis. Major findings are summarized as follows: (1) There are 67% of function words and 33% of content words in the top 100 words of the Textbook Corpus. There are 60% of function words and 40% of content words in the top 100 words of the JCEE Corpus. An increasing number of the content words were found as we explore more frequency bands. (2) The overlapping rate of the Textbook Corpus word list and the JCEE Corpus word list is 88.9%. (3) The Textbook Corpus contains 1,915 general words in the GSL, accounting for 96% of the GSL; it contains 492 academic words in the AWL, accounting for 86% of the AWL. The JCEE Corpus contains 1,510 general words in the GSL, accounting for 76% of the GSL; it contains 381 academic words in the AWL, accounting for 67% of the AWL. Add Additionally, to reach 95% lexical coverage, 5,000 BNC word families plus proper nouns and marginal words are needed. To reach 98% text comprehension, at least 14,000 BNC word families plus proper nouns and marginal words are needed.
Katsumata, Yuriko. "The development and empirical substantiation of Japanese pedagogical materials based on kabuki." Thesis, 2020. http://hdl.handle.net/1828/11762.
Full textGraduate
Creighton, Graham Robert. "An assessment of student's English vocabulary levels and an exploration of the vocabulary profile of teacher's spoken discourse in an international high school." Diss., 2016. http://hdl.handle.net/10500/22590.
Full textLinguistics and Modern Languages
M.A. (Applied Linguistics)
Xakaza, Sheila Innocentia. "Using the Internet communication tools to facilitate learning." Diss., 2007. http://hdl.handle.net/2263/25660.
Full textDissertation (MEd (Curriculum Studies))--University of Pretoria, 2007.
Curriculum Studies
unrestricted
Books on the topic "Word frequency lists"
Dee, Gardner, ed. A frequency dictionary of contemporary American English: Word sketches, collocates, and thematic lists. London: Routledge, 2010.
Find full textMark, Davies. A frequency dictionary of contemporary American English: Word sketches, collocates, and thematic lists. New York, NY: Routledge, 2010.
Find full textZgółkowa, Halina. Słownictwo polskich tekstów rockowych: Listy frekwencyjne. Poznań: Uniwersytet im. Adama Mickiewicza w Poznaniu, 1991.
Find full textZgółkowa, Halina. Słownictwo współczesniej poezji polskiej: Listy frekwencyjne. Poznań: Uniwersytet im. Adama Mickiewicza w Poznaniu, 1992.
Find full textZgółkowa, Halina. Słownictwo dzieci w wieku przedezkolnym: Listy frekwencyjne. Poznań: Wydawn. Nauk. Uniwersytetu im. Adama Mickiewicza, 1987.
Find full textDenooz, J. Aristote, Poetica: Index verborum, liste de fréquence. Liège: Centre informatique de philosophie et lettres, 1988.
Find full textPurnelle, G. Aristote: De anima : index verborum, listes de fréquences. Liège: C.I.P.L., 1988.
Find full textZgółkowa, Halina. Słownictwo dzieci w wieku przedszkolnym: Listy frekwencyjne. Poznań: Wydawn. Nauk. Uniwersytetu im. Adama Mickiewicza w Poznaniu, 1987.
Find full textColin, Bernard. Aristote, categoriae: Index verborum, listes de fréquence. Liège: Université de Liège, Faculté de philosophie et lettres, Centre informatique de philosophie et lettres, 1993.
Find full textPirenne-Delforge, Vinciane. Periegesis: Index verborum, liste de fréquence, index nominum. Liège: C.I.P.L.-C.I.E.R.G.A., 1997.
Find full textBook chapters on the topic "Word frequency lists"
Wallwork, Adrian. "Mini Grammar and Frequently Confused Words List." In English for Interacting on Campus, 197–233. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28734-8_15.
Full textMakagonov, Pavel, and Mikhail Alexandrov. "Empirical Formula for Testing Word Similarity and Its Application for Constructing a Word Frequency List." In Computational Linguistics and Intelligent Text Processing, 425–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45715-1_45.
Full textBorms, Samuel, Kris Boudt, Frederiek Van Holle, and Joeri Willems. "Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies." In Data Science for Economics and Finance, 217–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_10.
Full textMarkievicz, Irena, Daiva Vitkutė-Adžgauskienė, and Minija Tamošiūnaitė. "Ontology Learning in Practice." In E-Learning as a Socio-Cultural System, 158–71. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6154-7.ch009.
Full text"Creating and using A frequency dictionary of Contemporary American English: word sketches, collocates, and thematic lists." In Corpus-based Studies in Language Use, Language Learning, and Language Documentation, 283–97. Brill | Rodopi, 2011. http://dx.doi.org/10.1163/9789401206884_015.
Full textUtas, Bo. "Frequency Word-List." In A Persian Sufi Poem, 75–102. Routledge, 2017. http://dx.doi.org/10.4324/9781315163901-3.
Full text"Word Frequency Use or Misuse?" In What's in a Word-list?, 37–54. Routledge, 2016. http://dx.doi.org/10.4324/9781315547411-12.
Full text"Does Frequency Really Matter?" In What's in a Word-list?, 21–36. Routledge, 2016. http://dx.doi.org/10.4324/9781315547411-11.
Full text"Word Frequency, Statistical Stylistics and Authorship Attribution." In What's in a Word-list?, 55–72. Routledge, 2016. http://dx.doi.org/10.4324/9781315547411-13.
Full text"Section 1: Word Frequency List." In Lexical Tools to the Syriac New Testament, 1–34. Piscataway, NJ, USA: Gorgias Press, 2002. http://dx.doi.org/10.31826/9781463207939-003.
Full textConference papers on the topic "Word frequency lists"
Zeng, Liren, and Ling Lin. "An Interactive Vocabulary Learning System Based on Word Frequency Lists and Ebbinghaus' Curve of Forgetting." In 2011 Workshop on Digital Media and Digital Content Management. IEEE, 2011. http://dx.doi.org/10.1109/dmdcm.2011.71.
Full textChernova, D. A., S. V. Alexeeva, and N. A. Slioussar. "WHAT DO WE LEARN FROM MISTAKES: PROCESSING DIFFICULTIES WITH FREQUENTLY MISSPELLED WORDS." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-147-159.
Full textStephen, Katherine, Laura Muir, and Hazel Hall. "Towards a definition of metaskills." In ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2010.
Full textBlinova, O. V., N. A. Tarasov, V. V. Modina, and I. S. Blekanov. "MODELING LEMMA FREQUENCY BANDS FOR LEXICAL COMPLEXITY ASSESSMENT OF RUSSIAN TEXTS." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-76-92.
Full textPeng, Sheng-Lan. "Optimal Hash List for Word Frequency Analysis." In 2010 International Conference on Web Information Systems and Mining (WISM). IEEE, 2010. http://dx.doi.org/10.1109/wism.2010.59.
Full textTrinh, Cam Lan. "Urbanization and Language Change in Vietnam: Evidence from a Rural Community in Hanoi." In GLOCAL Conference on Asian Linguistic Anthropology 2019. The GLOCAL Unit, SOAS University of London, 2019. http://dx.doi.org/10.47298/cala2019.15-1.
Full textMalá, Markéta. "English and Czech children’s literature: A contrastive corpus-driven phraseological approach." In Eighth Brno Conference on Linguistics Studies in English. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9767-2020-8.
Full textPierce, William H., and Ben T. Railsback. "Boom Lift Operator Protection From Stored Energy Hazards." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66743.
Full textSchkoda, Ryan, Konstantin Bulgakov, Kalyan Chakravarthy Addepalli, and Imtiaz Haque. "System Level Dynamic Modeling Framework Being Developed at Clemson University’s Wind Turbine Drivetrain Testing Facility." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3939.
Full textMatsuhisa, Hiroshi, and Osamu Nishihara. "Dynamic Vibration Absorber for a Ropeway Carrier." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-3944.
Full textReports on the topic "Word frequency lists"
Kindt, Roeland, Ian K Dawson, Jens-Peter B Lillesø, Alice Muchugi, Fabio Pedercini, and James M Roshetko. The one hundred tree species prioritized for planting in the tropics and subtropics as indicated by database mining. World Agroforestry, 2021. http://dx.doi.org/10.5716/wp21001.pdf.
Full textPaynter, Robin A., Celia Fiordalisi, Elizabeth Stoeger, Eileen Erinoff, Robin Featherstone, Christiane Voisin, and Gaelen P. Adam. A Prospective Comparison of Evidence Synthesis Search Strategies Developed With and Without Text-Mining Tools. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepcmethodsprospectivecomparison.
Full textPetrie, John, Yan Qi, Mark Cornwell, Md Al Adib Sarker, Pranesh Biswas, Sen Du, and Xianming Shi. Design of Living Barriers to Reduce the Impacts of Snowdrifts on Illinois Freeways. Illinois Center for Transportation, November 2020. http://dx.doi.org/10.36501/0197-9191/20-019.
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