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Journal articles on the topic 'Word processors'

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Published: 4 June 2021
Last updated: 30 January 2023

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1

Kaplan, Sidney. "WORD PROCESSORS." History Workshop Journal 21, no. 1 (1986): 223–24. http://dx.doi.org/10.1093/hwj/21.1.223.

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2

Van Haalen, Teresa, and George W. Bright. "Writing and Revising by Bilingual Students in Traditional and Word Processing Environments." Journal of Educational Computing Research 9, no. 3 (August 1993): 313–28. http://dx.doi.org/10.2190/6kxy-73wh-tyll-vj30.

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Examination of current research indicates caution in drawing conclusions about the benefits of the use of word processors, especially in elementary school. A variety of factors (e.g., keyboarding skill, technology aptitude, familiarity with the language of the word processor) might influence these benefits. This study focused on the effects of writing with word processors for students with varying proficiency in English.
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3

Wolfe, Edward W., Sandra Bolton, Brian Feltovich, and Art W. Bangert. "A Study of Word Processing Experience and its Effects on Student Essay Writing." Journal of Educational Computing Research 14, no. 3 (April 1996): 269–83. http://dx.doi.org/10.2190/xtdu-j5l2-wtpp-91w2.

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This study investigates how word processing experience influences student performance on a direct writing assessment. We investigated factors influencing a student's decision about using word processors for writing; whether students with less experience writing with word processors receive lower scores on word processed essays; and differences in length, neatness, mechanical correctness, and tone of the student writing as related to experience with word processors. In this study, students with different levels of experience using word processors wrote two essays: one with word processors and one with pen and paper. Students with less experience using word processors scored considerably higher on our writing assessment when their writing was done with pen and paper. Only small differences were observed between pen and paper and word processed essays for students with more word processing experience. Content analyses revealed that word processed essays appeared neater and longer than handwritten essays but that students who favor handwriting write more words with pen and paper than with word processors.
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4

Cudeck, Robert, and Dennis P. McGuire. "Three technical word processors." Psychometrika 52, no. 1 (March 1987): 137–50. http://dx.doi.org/10.1007/bf02293961.

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5

Brophy, David. "Word Processors—Looking Outside." Industrial Management & Data Systems 85, no. 3/4 (March 1985): 18–19. http://dx.doi.org/10.1108/eb057396.

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6

Tripp, Steven D. "A JAPANESE WORD PROCESSOR FOR THE APPLE." CALICO Journal 2, no. 4 (January 14, 2013): 21–23. http://dx.doi.org/10.1558/cj.v2i4.21-23.

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The Assist 16 is a Japanese language word processor that runs on Apple IIe and IIc computers. It requires no special hardware, and with an Epson-type printer will print Chinese character text in two sizes. For Japanese language teachers in the U.S. who cannot afford dedicated word processors this is a convenient way of editing and printing Japanese text.
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7

Little, Craig B. "Teaching Writing with Word Processors." Teaching Sociology 16, no. 3 (July 1988): 272. http://dx.doi.org/10.2307/1317529.

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8

Wanderer, Jules J. "Guttman Scaling with Word Processors." Social Science Computer Review 8, no. 3 (October 1990): 378–86. http://dx.doi.org/10.1177/089443939000800303.

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9

Van Horn, Royal. "Word Processors and Multiple Authors." Phi Delta Kappan 82, no. 2 (October 2000): 177–78. http://dx.doi.org/10.1177/003172170008200219.

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10

Balakrishnan, S. "Very long instruction word processors." Resonance 6, no. 12 (December 2001): 61–68. http://dx.doi.org/10.1007/bf02913768.

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11

Berry, R. E., and J. A. Hall. "Word processors, text processors: aspects of the user interface." Journal of Microcomputer Applications 8, no. 2 (April 1985): 175–79. http://dx.doi.org/10.1016/0745-7138(85)90016-8.

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12

Tadj, Lotfi. "Converge, Version 3.0." Journal of Applied Mathematics and Stochastic Analysis 6, no. 3 (January 1, 1993): 281–85. http://dx.doi.org/10.1155/s1048953393000243.

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Although intended for college teachers/students, Converge presents a feature that may interest all scientists: it allows an easy export of graphic files to most known word processors, specifically to the 𝔼𝕏ℙ, Version 2.1, a powerful WYSIWYG mathematical word processor.
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13

Gerson, Cyrelle K., and Richard A. Love. "Technical Word Processors for Scientific Writers." Analytical Chemistry 59, no. 17 (September 1987): 1031A—1048A. http://dx.doi.org/10.1021/ac00144a748.

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14

Hellquist, H. B. "Making poster demonstrations with word processors." Journal of Clinical Pathology 39, no. 3 (March 1, 1986): 338–39. http://dx.doi.org/10.1136/jcp.39.3.338.

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15

Nydahl, Joel. "Teaching Word Processors to Be CAI Programs." College English 52, no. 8 (December 1990): 904. http://dx.doi.org/10.2307/377395.

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16

Smith, Kim L. "USING MICROCOMPUTER WORD PROCESSORS FOR FOREIGN LANGUAGES." CALICO Journal 1, no. 4 (January 14, 2013): 45–47. http://dx.doi.org/10.1558/cj.v1i4.45-47.

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17

Winberg, Christine. "Using Word Processors in the ESL Classroom." Language Matters 25, no. 1 (January 1994): 47–71. http://dx.doi.org/10.1080/10228199408566083.

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18

Mamrak, Sandra A., and Craig L. Joseph. "Translation among WYSIWYG word processors in Chameleon." ACM SIGOIS Bulletin 9, no. 1 (January 3, 1988): 14–20. http://dx.doi.org/10.1145/43927.43929.

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19

Ananda, AL. "Document formatting for interchange between word processors." Computer Communications 11, no. 6 (December 1988): 319–24. http://dx.doi.org/10.1016/0140-3664(88)90045-x.

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20

Cookson, B. D. "Use of word processors for poster demonstrations." Journal of Clinical Pathology 39, no. 12 (December 1, 1986): 1364. http://dx.doi.org/10.1136/jcp.39.12.1364-a.

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21

Snyder, Ilana. "Writing with word processors: a research overview." Educational Research 35, no. 1 (March 1993): 49–68. http://dx.doi.org/10.1080/0013188930350103.

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22

Shibli, M. Abdullah. "Opinion: The Writing Process and Word Processors." Educational and Training Technology International 29, no. 1 (February 1992): 70–71. http://dx.doi.org/10.1080/0954730920290109.

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23

Mikheev, Andrei, and Liubov Liubushkina. "Russian morphology: An engineering approach." Natural Language Engineering 1, no. 3 (September 1995): 235–60. http://dx.doi.org/10.1017/s135132490000019x.

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AbstractMorphological analysis, which is at the heart of the processing of natural language requires computationally effective morphological processors. In this paper an approach to the organization of an inflectional morphological model and its application for the Russian language are described. The main objective of our morphological processor is not the classification of word constituents, but rather an efficient computational recognition of morpho-syntactic features of words and the generation of words according to requested morpho-syntactic features. Another major concern that the processor aims to address is the ease of extending the lexicon. The templated word-paradigm model used in the system has an engineering flavour: paradigm formation rules are of a bottom-up (word specific) nature rather than general observations about the language, and word formation units are segments of words rather than proper morphemes. This approach allows us to handle uniformly both general cases and exceptions, and requires extremely simple data structures and control mechanisms which can be easily implemented as a finite-state automata. The morphological processor described in this paper is fully implemented for a substantial subset of Russian (more then 1,500,000 word-tokens – 95,000 word paradigms) and provides an extensive list of morpho-syntactic features together with stress positions for words utilized in its lexicon. Special dictionary management tools were built for browsing, debugging and extension of the lexicon. The actual implementation was done in C and C++, and the system is available for the MS-DOS, MS-Windows and UNIX platforms.
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24

Handley-More, Dottie. "Use of Word Processors to Support Written Communication." Physical & Occupational Therapy In Pediatrics 21, no. 1 (January 2001): 5–17. http://dx.doi.org/10.1080/j006v21n01_02.

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25

Handley-More, Dottie. "Use of Word Processors to Support Written Communication." Physical & Occupational Therapy In Pediatrics 21, no. 1 (September 8, 2001): 5–17. http://dx.doi.org/10.1300/j006v21n01_02.

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26

Azman, Adam M. "A Chemistry Spell-Check Dictionary for Word Processors." Journal of Chemical Education 89, no. 3 (January 12, 2012): 412–13. http://dx.doi.org/10.1021/ed2002994.

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27

Curtis, Marcia S. "Windows on Composing: Teaching Revision on Word Processors." College Composition and Communication 39, no. 3 (October 1988): 337. http://dx.doi.org/10.2307/357471.

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28

Morocco, Catherine Cobb, and Susan B. Neuman. "Word Processors and the Acquisition of Writing Strategies." Journal of Learning Disabilities 19, no. 4 (April 1986): 243–47. http://dx.doi.org/10.1177/002221948601900413.

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29

CHEN, YUNG-YUAN. "INCORPORATING FAULT-TOLERANT FEATURES IN VLIW PROCESSORS." International Journal of Reliability, Quality and Safety Engineering 12, no. 05 (October 2005): 397–411. http://dx.doi.org/10.1142/s0218539305001914.

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In recent years, very long instruction word (VLIW) processor has attracted much attention in that it offers a high instruction level parallelism and reduces the hardware design complexity. In this paper, we present two fault-tolerant schemes for VLIW processors. The first one is termed as test-instruction scheme which is based on the concept of instruction duplication to detect the errors. The process of test-instruction scheme consists of the error detection, error rollback recovery and reconfiguration. The second approach is called self-checking scheme which adopts the concept of self-checking logic to detect the errors. A real-time error recovery procedure is developed to conquer the errors. We implement the proposed designs of fault-tolerant VLIW processor in VHDL and employ the fault injection and fault simulation to validate our schemes. The main contribution of this research is to present the complete frameworks from error detection to error recovery for fault-tolerant design of VLIW processors. Experience learned from this investigation is that the issues of error detection and error recovery entail considering together. Without taking both issues into account simultaneously, the outcomes may lead to the improper conclusions.
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30

Rimbar, Hazelynn. "THE INFLUENCE OF SPELL-CHECKERS ON STUDENTS’ ABILITY TO GENERATE REPAIRS OF SPELLING ERRORS." Journal of Nusantara Studies (JONUS) 2, no. 1 (June 30, 2017): 1. http://dx.doi.org/10.24200/jonus.vol2iss1pp1-12.

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Recent studies show that spell-checkers help reduce students’ surface errors in writing by flagging spelling errors and giving correct spelling suggestions. This study investigates if the error correction provided by the spell-checker tool in word processors are internalized by students. A quasi-experimental two-group study was conducted on 30 Form 1 students in a school in Kuching, Sarawak. The learners were given dictations which contained words listed as commonly misspelled words according to Oxford University Press (2012). The experimental group were given three dictations- one in which they used word processors and allowed to use the spell-checker tool and the control group was given two dictations, both handwritten. The data gathered were analysed using a software for statistical analysis. This study found that, while the spell-checker helped the learners revise their spelling on one dictation exercise, learners still made the same errors in their spelling after the use of spell-checkers. Therefore it argues that while spell-checkers help eliminate surface errors, they have very little influence on correcting the errors on the cognitive level. Keywords: Spell-checkers, word processors, error correction, dictation, spellingCite as: Rimbar, H. (2017). The influence of spell-checkers on students’ ability to generate repairs of spelling errors. Journal of Nusantara Studies, 2(1), 1-12.
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31

Kumar, Prof Pradeep. "Creating One Time Password Programming for the Security of Data for Remote Location Treatment in Body Area Network." International Journal on Recent and Innovation Trends in Computing and Communication 9, no. 10 (October 31, 2021): 01–02. http://dx.doi.org/10.17762/ijritcc.v9i10.5497.

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Wireless body area network can manage patient through doctors through app on smart phones and security to data can be given by one-time password (OTP generation) like banking system. 6G protocols can make one time password more effective as all financial technology are dependent on one time password. Because transfer is mutual and one time password is best secure handshake between servers and containers are best security tempo for client server programmers. It depends on size of transfer means in the form of money in the transaction that size of container security code used for three way handshakes like third party or on the emergency for group client server model. Control logic is conditional enforcement of profitable rules to follow that is word access in computer science and that in the form of Intel processors till now but these Intel processors are in production in as general for as possible means one kind of Intel processor for whole world as processor generation paradigm. Can finance technological companies is eligible for creating more secure hardware for their trillions of transactions, I think word trillion is taken from word truth. Smartphone can handle data from sensor on body sensor through wireless with in distance limit and as data get uploaded it can reach to doctor by protecting it through OTP. In this as banking system can depend on OTP in the same way wireless health system may depend on this system.
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32

Davidson, Peter M. "Computerised Terminological Databases for Translators Who Use Word Processors." Meta 36, no. 2-3 (September 30, 2002): 424–30. http://dx.doi.org/10.7202/002489ar.

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Abstract This paper describes the construction of a Japanese-English computer-based dictionary of financial terms for native-English speaking translators of Japanese, writing their English translation directly on to a word processor. The Japanese terms selected for entry were culled from Japanese international finance publications (books and journals) published since 1985, and are thus assured of being in current use. Two major terminological data or glossary producing software programs were tested, for "user-friendliness", minimum memory and disk space requirements. Both programs were designed for European languages, and not for ideographic Asian ones, and consequently adaptations also had to be made to mode of entry to accomodate the requirements of the Japanese language. These are discussed in the paper, as are the system of romanisation it was decided to use, and the modifications it was seen fit to make to simplify and rationalise look-up procedures.
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33

Blankenbaker, Ruthie, and Diane Hamstra. "OVER THE HURDLE: WRITERS, WORD PROCESSORS, AND PREWRITING STRATEGIES." Journal of Reading, Writing, and Learning Disabilities International 5, no. 1 (January 1989): 43–59. http://dx.doi.org/10.1080/0748763890050104.

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34

Peacock, Michael, and Roger Beard. "’Almost an Invincible Repugnance'?: word processors and pupil writers." Educational Review 49, no. 3 (November 1997): 283–94. http://dx.doi.org/10.1080/0013191970490307.

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35

Lee, Chang-Bin, Sun-Woo Park, Kwang-Woo Lee, Jee-Yeon Kim, Jung-Hyun Nam, Young-Sook Lee, and Dong-Ho Won. "Vulnerability Analysis on Digital Signature Function of Word Processors." Journal of the Korea Society of Computer and Information 16, no. 8 (August 31, 2011): 109–18. http://dx.doi.org/10.9708/jksci.2011.16.8.109.

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36

Braun, R. M. "Creating scientific formulae using standard word processors is easy." IEEE Transactions on Education 34, no. 1 (1991): 138–39. http://dx.doi.org/10.1109/13.79895.

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37

Overbaugh, Richard C. "Word processors and writing-process software: Introduction and evaluation." Computers in Human Behavior 8, no. 1 (January 1992): 121–48. http://dx.doi.org/10.1016/0747-5632(92)90022-7.

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38

DRĂGOI, CEZARA, and FLORIN MANEA. "ON THE DESCRIPTIONAL COMPLEXITY OF ACCEPTING NETWORKS OF EVOLUTIONARY PROCESSORS WITH FILTERED CONNECTIONS." International Journal of Foundations of Computer Science 19, no. 05 (October 2008): 1113–32. http://dx.doi.org/10.1142/s0129054108006170.

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In this paper we consider, from the descriptional complexity point of view, a model of computation introduced in [1], namely accepting network of evolutionary processors with filtered connections (ANEPFCs). First we show that for each morphism h : V → W*, with V ∩ W = ∅, one can effectively construct an ANEPFC, of size 6 + |W|, which accepts every input word w and, at the end of the computation on this word, obtains h(w) in its output node. This result can be applied in constructing two different ANEPFCs, with 27 and, respectively, 26 processors, recognizing a given recursively enumerable language. The first architecture, based on the construction of a universal ANEPFC, has the property that only 7 of its 27 processors depend on the accepted language. On the other hand, all the 26 processors of the second architecture depend on the accepted language, but, differently from the first one, this network simulates efficiently (from both time and space perspectives) a nondeterministic Turing machine accepting the given language.
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39

Allen, Philip A., and Phillip L. Emerson. "Holism revisited: Evidence for parallel independent word-level and letter-level processors during word recognition." Journal of Experimental Psychology: Human Perception and Performance 17, no. 2 (1991): 489–511. http://dx.doi.org/10.1037/0096-1523.17.2.489.

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40

DE AGOSTINO, SERGIO. "ALMOST WORK-OPTIMAL PRAM EREW DECODERS OF LZ COMPRESSED TEXT." Parallel Processing Letters 14, no. 03n04 (September 2004): 351–59. http://dx.doi.org/10.1142/s0129626404001933.

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We show nearly work-optimal parallel decoding algorithms which run on the PRAM EREW in O ( log n) time with O (n/( log n)1/2) processors for text compressed with LZ1 and LZ2 methods, where n is the length of the output string. We also present pseudo work-optimal PRAM EREW decoders for finite window compression and LZ2 compression requiring logarithmic time with O (dn) work, where d is the window size and the alphabet size respectively. Finally, we observe that PRAM EREW decoders requiring O ( log n) time and O (n/ log n) processors are possible with the non-conservative assumption that the computer word length is O ( log 2 n) bits.
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41

Ashburner, Jill, Jenny Ziviani, and Ana Pennington. "The Introduction of Keyboarding to Children With Autism Spectrum Disorders With Handwriting Difficulties: A Help or a Hindrance?" Australasian Journal of Special Education 36, no. 1 (June 15, 2012): 32–61. http://dx.doi.org/10.1017/jse.2012.6.

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This study explored the utility of using keyboarding as an alternative to handwriting for students with ASD who experience handwriting difficulties. Participants included 22 students with ASD (M age = 10.83 ± 1.4 years) who had been using portable word processors in mainstream classrooms for at least 6 months to circumvent handwriting difficulties. Teacher, parent and student questionnaires rated perceptions of students’ motivation, ability, preferences and frequency of use of keyboarding as compared to handwriting, helpfulness of portable word processors and factors contributing to or limiting their use. Keyboarding and handwriting speeds were measured in letters per minute. Two short compositions using handwriting and keyboarding were compared in length and quality. Handwriting legibility was also rated. The teacher, parent and student questionnaires indicated that students’ motivation was generally rated as much higher for keyboarding than for handwriting. Teachers and parents predominantly perceived portable word processors as helpful. The group mean scores for keyboarding speed, and length and quality of keyboarded compositions were greater than comparable group mean scores for handwriting. These differences, however, did not reach statistical significance. Keyboarding, nevertheless, was effective in overcoming difficulties experienced by many students in respect of legibility.
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42

Allen, Philip A., and Phillip L. Emerson. ""Holism revisited: Evidence for parallel independent word-level and letter-level processors during word recognition": Correction." Journal of Experimental Psychology: Human Perception and Performance 17, no. 4 (1991): 985. http://dx.doi.org/10.1037/0096-1523.17.4.985.

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43

KOMATSUBARA, Akinori, Norio NAKAJIMA, and Yoshimi YOKOMIZO. "Evaluation of Japanese word processors by the analysis of learning process." Japanese journal of ergonomics 23, no. 1 (1987): 25–33. http://dx.doi.org/10.5100/jje.23.25.

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44

Schmid, Rudolf. "Finger Dancing: Defining Function Keys for WordStar and Other Word Processors." BioScience 38, no. 9 (October 1988): 624–29. http://dx.doi.org/10.2307/1310828.

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45

Owston, Ronald D., and Herbert H. Wideman. "Word Processors and Children’s Writing in a High-Computer-Access Setting." Journal of Research on Computing in Education 30, no. 2 (December 1997): 202–20. http://dx.doi.org/10.1080/08886504.1997.10782223.

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46

Breese, Chris, Anita Jackson, and Terry Prince. "Promise in Impermanence: Children Writing with Unlimited Access to Word Processors." International Journal of Adolescence and Youth 6, no. 2 (January 1996): 129–60. http://dx.doi.org/10.1080/02673843.1996.9747786.

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47

Breese, Chris, Anita Jackson*, and Terry Prince. "Promise in Impermanence: Children Writing with Unlimited Access to Word Processors." Early Child Development and Care 118, no. 1 (January 1996): 67–91. http://dx.doi.org/10.1080/0300443961180107.

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48

Egan, Michael. "Shifting the paradigm: TQM and the ways we use word processors." TQM Magazine 9, no. 4 (August 1997): 305–9. http://dx.doi.org/10.1108/09544789710181934.

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49

Cohen, Nadav, and Shlomo Weiss. "Complex Floating Point—A Novel Data Word Representation for DSP Processors." IEEE Transactions on Circuits and Systems I: Regular Papers 59, no. 10 (October 2012): 2252–62. http://dx.doi.org/10.1109/tcsi.2012.2185329.

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50

d'YDEWALLE, GÉRY, JURGEN LEEMANS, and JOHAN VAN RENSBERGEN. "Graphical versus character-based word processors: an analysis of user performance." Behaviour & Information Technology 14, no. 4 (July 1995): 208–14. http://dx.doi.org/10.1080/01449299508914634.

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