Journal articles on the topic 'Aided language'

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1

Vallance, Michael. "Internet-aided Language Learning." Intelligent Tutoring Media 7, no. 3-4 (January 1997): 137–45. http://dx.doi.org/10.1080/14626269709408381.

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2

Huang, L. S. "Corpus-aided language learning." ELT Journal 65, no. 4 (May 5, 2011): 481–84. http://dx.doi.org/10.1093/elt/ccr031.

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3

Rakhmanovich, Karimov Bakhtiyor, and Mutalov Shoahmad Shonazarovich. "MULTIMEDIA AND INFORMATION TECHNOLOGIES AIDED SOLUTIONS IN THE SYSTEM OF WORLD CIVILISATION LANGUAGE PROCESSES." European International Journal of Multidisciplinary Research and Management Studies 02, no. 10 (October 1, 2022): 154–60. http://dx.doi.org/10.55640/eijmrms-02-10-29.

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It is proposed to create averaged languages by using the methods of mathematical and computer linguistics based on averaging vocabularies and grammar rules and norms of genealogically cognate languages has been proposed. The idea of creating averaged world language is proposed by means of averaging the averaged and isolated languages. Social, cultural, linguistic, information, communication problems of averaged languages and ways of using multimedia technologies in the area have been investigated.
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4

von Tetzchner, Stephen. "The semiotics of aided language development." Cognitive Development 36 (October 2015): 180–90. http://dx.doi.org/10.1016/j.cogdev.2015.09.009.

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5

McShane, Marjorie. "Redefining Paradigm for Computer-Aided Language Instruction." Foreign Language Annals 36, no. 2 (May 2003): 198–207. http://dx.doi.org/10.1111/j.1944-9720.2003.tb01470.x.

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6

Schetz, Katherine F. "Computer-Aided Language/Concept Enrichment in Kindergarten." Language, Speech, and Hearing Services in Schools 20, no. 1 (January 1989): 2–10. http://dx.doi.org/10.1044/0161-1461.2001.02.

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A model program for language/concept enrichment was set up with 22 kindergarten students as participants. A total screening score during routine kindergarten screenings relative to the areas of articulation, language and concepts was low for each of these students, but not low enough to recommend indepth diagnostic testing. The objective of the program was to demonstrate the role of the speech-language pathologist as consultant, an alternate service delivery model for public school speech-language services. Language/concept enrichment was provided by volunteers using four educational software programs for the microcomputer. Concepts taught included quantity, quality, time/sequence, nouns, and verbs. Program structure, implementation, and evaluation are discussed.
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7

Mishchenko, N. M., and N. N. Shchegoleva. "On computer-aided design of language processors." Cybernetics and Systems Analysis 29, no. 2 (1993): 242–46. http://dx.doi.org/10.1007/bf01132785.

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8

Belonogov, G. G., A. A. Khoroshilov, and A. A. Khoroshilov. "Phraseological computer-aided translation of natural language texts into other natural languages." Automatic Documentation and Mathematical Linguistics 44, no. 5 (October 2010): 262–64. http://dx.doi.org/10.3103/s0005105510050055.

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9

Neubert, Albrecht. "Computer-Aided Translation." Target. International Journal of Translation Studies 3, no. 1 (January 1, 1991): 55–64. http://dx.doi.org/10.1075/target.3.1.04neu.

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The paper addresses the problems involved in setting up a computer-aided expert system for human translators. It postulates four modules which function as an interactive reference guide in the framework of a translator's workstation: (1) a language component containing the syntactic and lexical correspondences between the SL- and TL-systems, (2) the >textual differential between the various types of SL- and TL-discourse, (3) the encyclopedic or knowledge base(s) underlying bi- or multilingual information transfer, and (4) a repertoire enabling the translator to word-process texts written in different languages.Emphasis is laid on the need for empirical research into the data culled from existing translations, parallel and background texts, diverse linguistic and encyclopedic as well as specialist reference works, and from practical experience of highly competent translators.
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10

Perscheid, Margaret M. "COMPUTER-AIDED TRANSLATION AT WCC." CALICO Journal 3, no. 1 (January 14, 2013): 22–24. http://dx.doi.org/10.1558/cj.v3i1.22-24.

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Many individuals, companies, and government agencies need to have a large volume of foreign language printed matter translated for their use. Computer-aided translation offers the advantages of speed and volume over the normal non-assisted human translation process. With a shortage of trained language specialists, the volume of material to be translated, and the speed of translation which is desired, the computer- aided translation market becomes the most feasible and desirable option in the translation field.Weidner is one company which recognized the needs in this particular area and has developed both hardware and software to fill this need. Constant improvement and attention to detail is needed to keep such a system operating at top accuracy. It is Weidner’s goal to stay on top of all advances in the field as well as to offer a complete line of language and translation services to the community.
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11

Clausing, Gerhard, and Cecil Wood. "The Computer-Tutor in Media-Aided Language Programs." IALLT Journal of Language Learning Technologies 8, no. 3 (January 18, 2019): 11–20. http://dx.doi.org/10.17161/iallt.v8i3.8902.

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12

Scott, Virginia M., and Elizabeth New. "Computer Aided Analysis of Foreign Language Writing Process." CALICO Journal 11, no. 3 (January 14, 2013): 5–18. http://dx.doi.org/10.1558/cj.v11i3.5-18.

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A number of studies have examined the writing process in first language (L1) and English as a Second Language (ESL); however, there is little empirical data with regard to the foreign language (FL) writing process. Système-D, a computer program for writing in French, accompanied by its tracking device, which provides a log of student inquiries made during the writing process, has afforded a novel means of analyzing the FL writing process. Twenty-one students in third semester (intermediate) college French participated in a study designed to examine how the Syst6me-D log provides data about the FL writing process. This study describes the instrument used to evaluate the Système-D log data and suggests how this information can be used in the classroom.
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13

Park, Eunjeong. "Corpus-Aided Language Learning for Chinese EFL Learners." International Journal of TESOL & Education 2, no. 3 (August 23, 2022): 332–45. http://dx.doi.org/10.54855/ijte.222323.

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Effective language instruction is essential for ESL/EFL students’ language development and improvement. Language researchers, educators, and professionals have investigated the preliminary impact of input that has been purposefully maneuvered to implement language instruction. It seems that effective language instruction has been explored from teachers' perspectives. However, learners’ perceptions of language learning seem to be under-researched. For this reason, this study aims at exploring EFL learners’ perceptions of corpus-aided instruction through qualitative research. Thirty-seven Chinese EFL college students at a Midwestern university in the United States participated in this study. Writing conferences and interviews were collected and analyzed through thematic analysis. Findings showed that the Chinese EFL learners felt corpus-aided instruction was helpful in terms of two things: (1) clarifying logic and (2) organizing the structure in academic writing. However, they also reported some challenges in corpus-aided instruction. This study offers new insight into the usefulness of corpus-aided instruction by drawing much-needed attention to EFL learners' L2 writing development and improvement. Based on the preliminary findings, suggestions and implications are discussed.
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14

Tan, Jinjin. "Research on Computer-Aided English Language Evaluation System." Journal of Physics: Conference Series 1992, no. 3 (August 1, 2021): 032103. http://dx.doi.org/10.1088/1742-6596/1992/3/032103.

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15

Ringer, Talia, Dan Grossman, Daniel Schwartz-Narbonne, and Serdar Tasiran. "A solver-aided language for test input generation." Proceedings of the ACM on Programming Languages 1, OOPSLA (October 12, 2017): 1–24. http://dx.doi.org/10.1145/3133915.

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16

Arias, Juan Pablo, Nestor Becerra Yoma, and Hiram Vivanco. "Automatic intonation assessment for computer aided language learning." Speech Communication 52, no. 3 (March 2010): 254–67. http://dx.doi.org/10.1016/j.specom.2009.11.001.

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17

Murray, Janice, and Juliet Goldbart. "Cognitive and language acquisition in typical and aided language learning: A review of recent evidence from an aided communication perspective." Child Language Teaching and Therapy 25, no. 1 (February 2009): 31–58. http://dx.doi.org/10.1177/0265659008098660.

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18

Barsuk, S. "Computer-aided tools to assess students" professional language skills." Інформаційні технології в освіті, Вип. 3 (28) (2016): 94–105.

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19

Formanek, Martha, Gerhard Clausing, and Cecil Wood. "The Contribution of Television in Media-Aided Language Programs." IALLT Journal of Language Learning Technologies 8, no. 2 (January 18, 2019): 19–32. http://dx.doi.org/10.17161/iallt.v8i2.8894.

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20

Kukumbergová, Martina. "AACtual Therapy: Using Aided Language Modelling (Carol Zangari, 2020)." Listy klinické logopedie 6, no. 1 (June 14, 2022): 17–22. http://dx.doi.org/10.36833/lkl.2022.002.

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21

Lin, Wang. "Film-Aided Foreign Language Teaching Under the Constructivism Theory." Education Journal 6, no. 2 (2017): 84. http://dx.doi.org/10.11648/j.edu.20170602.12.

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22

Barsuk, S. "COMPUTER-AIDED TOOLS TO ASSESS STUDENTS’ PROFESSIONAL LANGUAGE SKILLS." Information Technologies in Education, no. 28 (October 31, 2016): 94–105. http://dx.doi.org/10.14308/ite000605.

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23

Sato, T., and S. Hirai. "Language-aided robotic teleoperation system (LARTS) for advanced teleoperation." IEEE Journal on Robotics and Automation 3, no. 5 (October 1987): 476–81. http://dx.doi.org/10.1109/jra.1987.1087123.

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24

Price, Lisa Hammett, Sean Hendricks, and Colleen Cook. "Incorporating Computer-Aided Language Sample Analysis Into Clinical Practice." Language, Speech, and Hearing Services in Schools 41, no. 2 (April 2010): 206–22. http://dx.doi.org/10.1044/0161-1461(2009/08-0054).

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25

Ansted, S., Q. M. Zhu, and J. Kearsey. "Harmonic Control: A Symbolic Language Aided Engineering Control Program." IFAC Proceedings Volumes 30, no. 4 (April 1997): 133–37. http://dx.doi.org/10.1016/s1474-6670(17)43625-1.

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26

Stratil, Marie, Diana Burkhardt, Peter Jarratt, and Jim Yandle. "Computer‐aided Language Learning with Speech Synthesis: User Reactions." PLET: Programmed Learning & Educational Technology 24, no. 4 (November 1987): 309–16. http://dx.doi.org/10.1080/0033039870240408.

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27

Chandler, J. M., and S. C. Hand. "INTELLIGENT COMPUTER AIDED LEARNING FOR THE DERBYSHIRE LANGUAGE SCHEME." Computer Assisted Language Learning 6, no. 3 (January 1993): 193–202. http://dx.doi.org/10.1080/0958822930060302.

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28

Sullivan, K. "Self-assessment in autonomous computer-aided second language writing." ELT Journal 56, no. 3 (July 1, 2002): 258–66. http://dx.doi.org/10.1093/elt/56.3.258.

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29

Ahmed, Md Kawser. "Multimedia Aided Language Teaching: An Ideal Pedagogy in the English Language Teaching of Bangladesh." American International Journal of Social Science Research 3, no. 1 (December 20, 2018): 39–47. http://dx.doi.org/10.46281/aijssr.v3i1.220.

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Teaching English language around the globe is not only concentrated on grammars, series of writings and face to face interviews through conventional style but also centralized on the modern equipment, information and technology. Day to day updated accessories have made a tremendous progress in the pedagogy of English and ensured maximum benefits and acceptability among teachers and learners simultaneously. Observing the global usability and frequency, English language has appeared as a technology-but not as a language only but also as a channel of communication and language teaching. Application of multimedia in teaching-learning of English has earned best appreciation at any level of education and students have found English as an easy means of communication, conversation and interact with teachers with the blessing of multimedia and updated materials of language teaching. On the contrary, it is pitiful to observe that unavailability of modern accessories and elements in teaching English shows the namesake picture of multimedia used in third world countries especially in Bangladesh. This paper will focus on the significant progresses in the application of multimedia; take up of class with the aid of modern equipment and practical scenario of the use of multimedia in schools, colleges and universities of Bangladesh where multimedia based classroom is getting popular between teachers and students equally.
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30

Konat, Gabriël, Sebastian Erdweg, and Eelco Visser. "Bootstrapping domain-specific meta-languages in language workbenches." ACM SIGPLAN Notices 52, no. 3 (May 12, 2017): 47–58. http://dx.doi.org/10.1145/3093335.2993242.

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31

Pan, Shimei, Michelle Zhou, Keith Houck, and Peter Kissa. "Natural Language Aided Visual Query Building for Complex Data Access." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 2 (July 11, 2010): 1821–26. http://dx.doi.org/10.1609/aaai.v24i2.18819.

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Over the past decades, there have been significant efforts on developing robust and easy-to-use query interfaces to databases. So far, the typical query interfaces are GUI-based visual query interfaces. Visual query interfaces however, have limitations especially when they are used for accessing large and complex datasets. Therefore, we are developing a novel query interface where users can use natural language expressions to help author visual queries. Our work enhances the usability of a visual query interface by directly addressing the "knowledge gap" issue in visual query interfaces. We have applied our work in several real-world applications. Our preliminary evaluation demonstrates the effectiveness of our approach
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32

AKAGI, Shinsuke, and Toshikazu TAKATSU. "Computer aided piping design system using an object-oriented language." Transactions of the Japan Society of Mechanical Engineers Series C 54, no. 499 (1988): 787–91. http://dx.doi.org/10.1299/kikaic.54.787.

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33

Tan, Song Wei Benjamin, Pavan Kumar Naraharisetti, Siew Kian Chin, and Lai Yeng Lee. "Simple Visual-Aided Automated Titration Using the Python Programming Language." Journal of Chemical Education 97, no. 3 (February 14, 2020): 850–54. http://dx.doi.org/10.1021/acs.jchemed.9b00802.

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Jing, Zhihua, Jianqi Chen, and Zhaoxia Li. "Autonomous English language learning aided by an online teaching system." International Journal of Information Technology and Management 13, no. 1 (2014): 54. http://dx.doi.org/10.1504/ijitm.2014.059148.

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35

Saz, Oscar, Shou-Chun Yin, Eduardo Lleida, Richard Rose, Carlos Vaquero, and William R. Rodríguez. "Tools and Technologies for Computer-Aided Speech and Language Therapy." Speech Communication 51, no. 10 (October 2009): 948–67. http://dx.doi.org/10.1016/j.specom.2009.04.006.

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36

Hanif, Farheen, Fouzia Latif, and M. Sikandar Hayat Khiyal. "Unicode Aided Language Identification across Multiple Scripts and Heterogeneous Data." Information Technology Journal 6, no. 4 (May 1, 2007): 534–40. http://dx.doi.org/10.3923/itj.2007.534.540.

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Li, Chengtai, Yiming Zhang, Ying Weng, Boding Wang, and Zhenzhu Li. "Natural Language Processing Applications for Computer-Aided Diagnosis in Oncology." Diagnostics 13, no. 2 (January 12, 2023): 286. http://dx.doi.org/10.3390/diagnostics13020286.

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In the era of big data, text-based medical data, such as electronic health records (EHR) and electronic medical records (EMR), are growing rapidly. EHR and EMR are collected from patients to record their basic information, lab tests, vital signs, clinical notes, and reports. EHR and EMR contain the helpful information to assist oncologists in computer-aided diagnosis and decision making. However, it is time consuming for doctors to extract the valuable information they need and analyze the information from the EHR and EMR data. Recently, more and more research works have applied natural language processing (NLP) techniques, i.e., rule-based, machine learning-based, and deep learning-based techniques, on the EHR and EMR data for computer-aided diagnosis in oncology. The objective of this review is to narratively review the recent progress in the area of NLP applications for computer-aided diagnosis in oncology. Moreover, we intend to reduce the research gap between artificial intelligence (AI) experts and clinical specialists to design better NLP applications. We originally identified 295 articles from the three electronic databases: PubMed, Google Scholar, and ACL Anthology; then, we removed the duplicated papers and manually screened the irrelevant papers based on the content of the abstract; finally, we included a total of 23 articles after the screening process of the literature review. Furthermore, we provided an in-depth analysis and categorized these studies into seven cancer types: breast cancer, lung cancer, liver cancer, prostate cancer, pancreatic cancer, colorectal cancer, and brain tumors. Additionally, we identified the current limitations of NLP applications on supporting the clinical practices and we suggest some promising future research directions in this paper.
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Solomon-Rice, Patti, and Gloria Soto. "Language Modeling as an Efficacious Early Language Intervention Approach With Young Children Demonstrating Complex Communication Needs." Perspectives on Augmentative and Alternative Communication 18, no. 1 (April 2009): 21–27. http://dx.doi.org/10.1044/aac18.1.21.

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Abstract This article highlights evidence supporting the efficacy of adult language modeling and child imitation, including use of aided AAC modeling, during language intervention with young children demonstrating complex communication needs. First, four evidence-based language intervention approaches that incorporate adult language modeling and child imitation with young children demonstrating language delays are described. Second, two additional evidence-based language intervention approaches that incorporate aided AAC modeling during communication partner training, and direct clinical intervention with young children using aided AAC are further discussed. The article concludes with suggestions for strategies to use during language intervention with young children who use aided AAC.
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39

Chen, Juan, and David Tarditi. "A simple typed intermediate language for object-oriented languages." ACM SIGPLAN Notices 40, no. 1 (January 12, 2005): 38–49. http://dx.doi.org/10.1145/1047659.1040309.

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40

Sussex, Roland. "Author languages, authoring systems and their relation to the changing focus of computer-aided language learning." System 19, no. 1-2 (January 1991): 15–27. http://dx.doi.org/10.1016/0346-251x(91)90004-9.

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41

Soto, Gloria. "The Protocol for the Analysis of Aided Language Samples in Spanish: A Tutorial." Perspectives of the ASHA Special Interest Groups 7, no. 2 (April 14, 2022): 523–32. http://dx.doi.org/10.1044/2021_persp-21-00236.

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Purpose: The purpose of this tutorial is to describe a tool and a procedure to support the collection and qualitative manual analysis of aided language samples in Spanish. Method: The Protocol for the Analysis of Aided Language Samples in Spanish (PAALSS) was developed from the present knowledge of Spanish language acquisition, and established procedures for the analysis of aided language samples. A draft version of PAALSS was distributed among 476 augmentative and alternative communication (AAC) service providers in Argentina, Chile, Costa Rica, Mexico, and the United States, who provided feedback on their usability and applicability. The clinical application of PAALSS is illustrated through the analysis of three different language samples of an 8-year-old child who uses aided AAC. Results: The use of PAALSS allowed the child’s educational team to document the child’s strengths and to set therapy goals to address her needs, such as increasing the length of her utterances and other structures essential for grammaticalization including articles, adjectives, adverbs, diminutives, morphemes for gender and number, prepositions, and personal pronouns. Conclusions: PAALSS can be used to describe the expressive language use of children who use aided AAC in Spanish and are in the early stages of language development. PAALSS can also be used as a guide to set goals for and measure outcomes of language therapy along four domains of expressive language including vocabulary, morphology, grammatical complexity, and syntax. Supplemental Material: https://doi.org/10.23641/asha.19233237
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42

Tarabar, Aida, and Senaid Fejzić. "RESEARCH INTO THE EFFECTIVENESS OF ENGLISH LANGUAGE COMPUTER AIDED INSTRUCTION IN THE IMPROVEMENT OF HIGH SCHOOL STUDENTS’ LANGUAGE COMPETENCES." Zbornik radova 16, no. 16 (December 15, 2018): 371–89. http://dx.doi.org/10.51728/issn.2637-1480.2019.16.371.

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At a time when information technology has a strong impact on society, it is important to identify the level of its influence on foreign language teaching and learning. The paper presents research into the effectiveness of English language computer aided instruction in high schools. The research is based on a twelve-week long project carried out in a high school in Bosnia and Herzegovina. The aim of the project was to observe the language competencies of one hundred high school students who followed two types of foreign language instruction: traditional and computer aided. The results showed significant effectiveness of computer aided instruction in developing students’ competencies, particularly vocabulary acquisition. The paper presents recommendations based on the findings.
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43

Klein, Philip W. "A Computer-Aided Personal Library Catalog." Hispania 73, no. 2 (May 1990): 550. http://dx.doi.org/10.2307/342877.

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44

Jouvelot, P. "Designing new languages or new language manipulation systems using ML." ACM SIGPLAN Notices 21, no. 8 (August 1986): 40–52. http://dx.doi.org/10.1145/382278.382393.

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45

Imhoff, Helen. "THE DIFFERENT VERSIONS OF "AIDED CHONCHOBAIR"." Ériu 62, no. 1 (2012): 43–99. http://dx.doi.org/10.1353/eri.2012.0006.

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46

Sullivan, Pat. "Computer-aided publishing: Focusing on documents." Computers and Composition 10, no. 1 (November 1992): 135–49. http://dx.doi.org/10.1016/s8755-4615(06)80028-9.

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47

Lee, YoonKyoung, Jieun Choi, So Jung Oh, Ji Hye Yoon, and Yu-Seop Kim. "Attitude of Korean Speech-Language Pathologists toward Usage of Language Sample Analysis and Computer-aided LSA." Communication Sciences & Disorders 25, no. 3 (September 30, 2020): 651–68. http://dx.doi.org/10.12963/csd.20731.

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48

Konev, Boris, and Alexei Lisitsa. "Computer-aided proof of Erdős discrepancy properties." Artificial Intelligence 224 (July 2015): 103–18. http://dx.doi.org/10.1016/j.artint.2015.03.004.

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49

Zhonggen, Yu, and Chang Liu. "Validation of the Threshold Hypothesis in Computer Aided English Language Forgetting." Journal of Applied Sciences 13, no. 24 (December 1, 2013): 5716–22. http://dx.doi.org/10.3923/jas.2013.5716.5722.

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50

Yu Zhonggen, and Chang Liu. "The Threshold Hypothesis in Computer Aided English Language Attrition of Proficiency." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 2 (January 31, 2013): 575–82. http://dx.doi.org/10.4156/aiss.vol5.issue2.73.

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