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Добірка наукової літератури з теми "Survey Language"

Автор: Grafiati
Опубліковано: 18 травня 2024

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Статті в журналах з теми "Survey Language"

1

Saliby, Joe G. "Survey on Natural Language Generation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 618–22. http://dx.doi.org/10.31142/ijtsrd22903.

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2

Webster, Jenny. "Mitigating Institutional Attitudes toward Sign Languages: A Model for Language Vitality Surveys." Journal of Deaf Studies and Deaf Education 27, no. 1 (November 2, 2021): 16–25. http://dx.doi.org/10.1093/deafed/enab036.

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Abstract This paper is about attitudes toward sign languages. The paper presents an idea to help make sign language surveys better in the future. In 2018, UNESCO (the United Nations Educational, Scientific and Cultural Organization) published a sign language survey and a spoken language survey together for the first time. This was very important to show that spoken languages and signed languages are equal. But the sign language survey has some weaknesses. The idea presented in this paper says that: when people make sign language surveys, they should be aware of discrimination and negative attitudes; they should give signers access to the survey in sign language; and they should help signers decide what actions they can do to protect their sign language.
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3

P.R., Mahidar. "Sign Language Recognition Techniques - A Survey." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 2747–60. http://dx.doi.org/10.37200/ijpr/v24i5/pr201978.

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4

Mennecier, Philippe, John Nerbonne, Evelyne Heyer, and Franz Manni. "A Central Asian Language Survey." Language Dynamics and Change 6, no. 1 (2016): 57–98. http://dx.doi.org/10.1163/22105832-00601015.

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We have documented language varieties (either Turkic or Indo-European) spoken in 23 test sites by 88 informants belonging to the major ethnic groups of Kyrgyzstan, Tajikistan and Uzbekistan (Karakalpaks, Kazakhs, Kyrgyz, Tajiks, Uzbeks, Yaghnobis). The recorded linguistic material concerns 176 words of the extended Swadesh list and will be made publically available with the publication of this paper. Phonological diversity is measured by the Levenshtein distance and displayed as a consensus bootstrap tree and as multidimensional scaling plots. Linguistic contact is measured as the number of borrowings, from one linguistic family into the other, according to a precision/recall analysis further validated by expert judgment. Concerning Turkic languages, the results of our sample do not support Kazakh and Karakalpak as distinct languages and indicate the existence of several separate Karakalpak varieties. Kyrgyz and Uzbek, on the other hand, appear quite homogeneous. Among the Indo-Iranian languages, the distinction between Tajik and Yaghnobi varieties is very clear-cut. More generally, the degree of borrowing is higher than average where language families are in contact in one of the many sorts of situations characterizing Central Asia: frequent bilingualism, shifting political boundaries, ethnic groups living outside the “mother” country.
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5

Grant, Anthony P., and Joseph E. Grimes. "Language Survey Reference Guide." Language 72, no. 4 (December 1996): 885. http://dx.doi.org/10.2307/416148.

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6

Vajda, Edward J., Scott Merrifield, and Martinus Salea. "North Sulawesi Language Survey." Language 76, no. 4 (December 2000): 930. http://dx.doi.org/10.2307/417212.

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7

Bekken, Jon. "Foreign Language Press Survey." American Journalism 37, no. 1 (January 2, 2020): 122–23. http://dx.doi.org/10.1080/08821127.2020.1715741.

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8

Rescorla, Leslie. "The Language Development Survey." Journal of Speech and Hearing Disorders 54, no. 4 (November 1989): 587–99. http://dx.doi.org/10.1044/jshd.5404.587.

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This paper reports data from four studies using the Language Development Survey (LDS), a vocabulary checklist designed for use as a screening tool for the identification of language delay in 2-year-old children. A survey completed by the parent in about 10 min, the LDS displayed excellent reliability as assessed by Cronbach's alpha and test-retest techniques. Total vocabulary score as reported on the LDS was highly correlated with performance on Bayley, Reynell, and Preschool Language Scale expressive vocabulary items. The LDS was found to have excellent sensitivity and specificity for the identification of language delay, with a criterion of fewer than 50 words or no word combinations at 2 years yielding very low false positive and false negative rates. Data from three of these studies demonstrate the utility of the LDS as a screening tool for children attending public and private pediatric practices. Prevalence data using the LDS are reported comparing three different severity cutoffs for more than 500 children in seven survey samples.
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9

Tolonen, Hanna, Päivikki Koponen, Katja Borodulin, Satu Männistö, Markku Peltonen, and Erkki Vartiainen. "Language as a determinant of participation rates in Finnish health examination surveys." Scandinavian Journal of Public Health 46, no. 2 (August 26, 2017): 240–43. http://dx.doi.org/10.1177/1403494817725243.

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Aim: A high participation rate is considered as a prerequisite for representative survey results, especially when it is known that non-participation is selective. In many countries migration is increasing and the proportion of people speaking other language(s) than the official language(s) of the country is also increasing. How does this affect survey participation rates? Methods: Data from four cross-sectional health examination surveys (the FINRISK Study) were used to evaluate the effect of the registered mother tongue to participation in the survey. Results: Finland has two official languages (Finnish and Swedish). Between 1997 and 2012, the proportion of the population with some other language as their registered mother tongue has increased significantly. Participation rates in the health surveys have been highest among the Finnish language group (68% in men in 1997 and 76% in women in 1997), while lowest among the foreign language group (43% in men in 1997 and 57% in women in 1997). In 2012, the participation rates had declined in all language groups: for men, 58%, 62% and 41% for Finnish, Swedish and foreign groups respectively, and for women 68%, 75% and 56%. Conclusions: The participation rate for the foreign language group was significantly lower than for the Finnish and Swedish groups. In future surveys it will be important to include actions to promote participation, e.g. providing survey material in several languages. These actions will increase costs but will be essential to ensure high participation rates and reliable results for the total population.
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10

N, Kaushik, and Vaidya Rahul. "A Survey of Approaches for Sign Language Recognition System." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 20, 2020): 1775–83. http://dx.doi.org/10.37200/ijpr/v24i1/pr200278.

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Дисертації з теми "Survey Language"

1

Rahmani, Monireh. "Ethnography of language change : an ethnolinguistic survey of the Gilaki language /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1985. http://catalog.hathitrust.org/api/volumes/oclc/42576051.html.

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2

Guo, Rui. "Gender Differences in Language : A Newspaper Survey." Thesis, Högskolan Kristianstad, Sektionen för Lärarutbildning, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-8025.

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3

Lau, Yung Simon. "A survey of language use, language needs, and language requirement of Hong Kong Cantonese-speaking reporters." HKBU Institutional Repository, 1996. http://repository.hkbu.edu.hk/etd_ra/77.

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4

Ball, Staci Lee Johnson. "Methods of Language Assessment: A Survey of Oregon Public School Speech-language Pathologists." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/4970.

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Анотація:
Much advice has been published in the last 40 years that has attempted to aid speech-language pathologists in choosing language assessment tools (e.g., Danwitz, 1981 & Darley, 1979 ). Questions have arisen about what tests are actually being used in public schools and the reasons for those tests being used over other tests. The data bank of information is minimal in this area as only one study has appeared in the literature in which Wilson, Blackmon, Hall, & Elcholtz, (1991), conducted a State survey of currently used language assessment instruments. The primary research question to be answered was: What methods of language assessment are being used in Oregon? Secondary questions to be answered were: (a) What factors influence the selection and use of the chosen procedures?, (b) What are the dates of development of the tests used most frequently, (c) By what means do the public school clinicians keep themselves current with new trends and information in the field? There were 567 questionnaires mailed out to Oregon Speech-Language Pathologists who worked in the public school setting and served children 4-9 years of age. Of the 297 respondees, only 4 reported not using any formal instruments for language assessment. Results show 9 main standardized tests were used for measuring expressive language by the majority of the respondents. Listed in order of frequency of use, they are: TOLD, EOWPVT, WORD test, CELF, LPT, SPELT, ASSET, TOPS, and the PLS. For receptive language, also in order of frequency of use, the 1 O main tests were as follows: PPVT, TOLD, CELF, TACL, ASSET, BOEHM, PLS, ROWPVT, BRACKEN, and the LPT. Factors that influenced the selection and use of specific tests included: personal experience; ease of administration; time restraints; budgets and availability of tests and district protocols for assessments. Dates of publication, new and revisions, for both the expressive and receptive tests used ranged from 1983 - 1990. At the time of this survey, the main ways that clinicians were keeping themselves current for new tests on the market were word of mouth from associates, inservices on new tests, and reading new information in journals.
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5

Taggesell, Richard Patrick. "Popular culture in the language arts classroom a survey /." Online pdf file accessible through the World Wide Web, 2010. http://archives.evergreen.edu/masterstheses/Accession89-10MIT/Taggesell_RPMIT2010.pdf.

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6

Loulidi, Rafik. "Language contact and language conflict in Morocco : a survey of language use and attitudes among school bilingual learners." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284846.

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7

Novello, Sandra. "Social validation survey on speech-language pathologists in the schools." Pullman, Wash. : Washington State University, 2010. http://www.dissertations.wsu.edu/Thesis/Spring2010/s_novello_041410.pdf.

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Анотація:
Thesis (M.A. in speech and hearing sciences)--Washington State University, May 2010.
Title from PDF title page (viewed on Apr. 30, 2010). "Department of Speech and Hearing Sciences." Includes bibliographical references (p. 52-54).
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8

Elchert, Keith J. "A survey of Midwestern newspaper editors on current language use." CardinalScholar 1.0, 2009. http://liblink.bsu.edu/uhtbin/catkey/1468269.

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This thesis makes use of an online survey to study the current state of language use among newspapers in the American Midwest. Specifically, it examines editors’ attitudes toward and adaptation to changed language over the course of the last fifteen years. Those years have seen a general relaxation of language-use standards in the allowance of profanity, as well as changes brought about by emerging electronic media including the Internet and text messaging. The survey results indicate editors are gradually reacting to these changes, as opposed to leading the charge for change themselves.
Department of Journalism
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9

Matson, Jill Lynn Wilhelm Ronald Wayne. "Perceptions of preparedness and practices a survey of teachers of English language learners /." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5145.

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10

Keogh, Jennifer. "A Survey of Those in the U.S. Deaf Community about Reading and Writing ASL." Thesis, The University of North Dakota, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1552203.

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Анотація:

On average, students who are deaf do not develop English literacy skills as well as their hearing peers. The linguistic interdependence principle suggests that literacy in American Sign Language (ASL) may improve literacy in English for students who are deaf. However, the Deaf community in the United States has not widely adopted a written form of ASL. This research surveys individuals in the U.S. Deaf community to better understand the opinions surrounding literacy in ASL.

The survey was presented online, containing both ASL in embedded videos and written English. The survey asked for the participants' demographic information, language and educational background, opinions about reading and writing ASL, and opinions on specific writing systems. Sixty-two surveys were analyzed using Chi-square Goodness of Fit tests and Tests of Independence.

The results show that those who desire to read and write ASL are in the minority. The respondents were evenly divided among those who supported literacy in ASL, those who opposed it, and those who felt ambivalent about it. The factors that influenced their opinions were (1) the widespread use of a written form of ASL; (2) the value of literacy in ASL; (3) the style of a writing system; (4) writing with other Deaf individuals; (5) the face-to-face culture in the Deaf community; (6) video technology; and (7) the dominance of English. The respondents were highly educated, which may have influenced these results. Surveying a more representative population is necessary to better understand the opinions about literacy in ASL in the U.S. Deaf community.

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Книги з теми "Survey Language"

1

Language survey reference guide. [Dallas]: Summer Institute of Linguistics, 1995.

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2

Martinus, Salea, ed. North Sulawesi language survey. Dallas: Summer Institute of Linguistics, 1996.

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3

Studies, Chancellor College Centre for Language. Language mapping survey for Malawi. Zomba, Malawi]: Centre for Language Studies, University of Malawi, Chancellor College, 2010.

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4

The Dutch language: A survey. Cheltenham: Thornes, 1985.

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5

The Dutch language: A survey. Leiden: E.J. Brill, 1985.

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6

Cartagena, Juan. Language rights: Survey of legal periodicals. New York, N.Y: CSS Institute for Community Empowerment, 1989.

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7

Woodcock, Richard W. Woodcock-Muñoz language survey, English form. Chicago: Riverside, 1993.

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8

Dakubu, M. E. Kropp. The Dangme language: An introductory survey. Basingstoke [England]: Macmillan, 1987.

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9

Gramley, Stephan. A Survey of Modern English. London: Taylor & Francis Group Plc, 2004.

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10

Michael, Paetzold, ed. A survey of modern English. 2nd ed. London: Routledge, 2004.

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Частини книг з теми "Survey Language"

1

McDuffie, Andrea, and Eileen Haebig. "Language Development Survey." In Encyclopedia of Autism Spectrum Disorders, 1–4. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-6435-8_1672-3.

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2

Lewis, Moira, Courtenay Norbury, Rhiannon Luyster, Lauren Schmitt, Andrea McDuffie, Eileen Haebig, Donna S. Murray, et al. "Language Development Survey." In Encyclopedia of Autism Spectrum Disorders, 1688–91. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1672.

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3

McDuffie, Andrea, and Eileen Haebig. "Language Development Survey." In Encyclopedia of Autism Spectrum Disorders, 2631–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_1672.

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4

Blake, N. F. "Background Survey." In A History of the English Language, 24–46. London: Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-24954-1_2.

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5

Procter, Paul. "The Cambridge Language Survey." In Lecture Notes in Computer Science, 77–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59040-4_21.

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6

Webber, Bonnie Lynn. "Natural Language Processing: A Survey." In Topics in Information Systems, 353–63. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4980-1_29.

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7

Gramley, Stephan, Vivian Gramley, and Kurt-Michael Pätzold. "The English language." In A Survey of Modern English, 1–16. Third edition. | Abingdon, Oxon; New York, NY: Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429300356-1.

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8

Di Crescenzo, Giovanni, Matluba Khodjaeva, Delaram Kahrobaei, and Vladimir Shpilrain. "A Survey on Delegated Computation." In Developments in Language Theory, 33–53. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05578-2_3.

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9

Finch, Geoffrey. "Linguistics: a Brief Survey." In Key Concepts in Language and Linguistics, 1–15. London: Macmillan Education UK, 2005. http://dx.doi.org/10.1007/978-0-230-20445-4_1.

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10

Krauss, Michael E. "A survey of major Alaskan language types." In Language Typology 1985, 169. Amsterdam: John Benjamins Publishing Company, 1986. http://dx.doi.org/10.1075/cilt.47.14kra.

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Тези доповідей конференцій з теми "Survey Language"

1

Jamro, Wazir Ali. "Sindhi Language Processing: A survey." In 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT). IEEE, 2017. http://dx.doi.org/10.1109/icieect.2017.7916560.

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2

De Mori, Renato. "Spoken language understanding: a survey." In 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU). IEEE, 2007. http://dx.doi.org/10.1109/asru.2007.4430139.

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3

Zhou, Yutong, and Nobutaka Shimada. "Vision + Language Applications: A Survey." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2023. http://dx.doi.org/10.1109/cvprw59228.2023.00090.

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4

Navigli, Roberto, Michele Bevilacqua, Simone Conia, Dario Montagnini, and Francesco Cecconi. "Ten Years of BabelNet: A Survey." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/620.

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Анотація:
The intelligent manipulation of symbolic knowledge has been a long-sought goal of AI. However, when it comes to Natural Language Processing (NLP), symbols have to be mapped to words and phrases, which are not only ambiguous but also language-specific: multilinguality is indeed a desirable property for NLP systems, and one which enables the generalization of tasks where multiple languages need to be dealt with, without translating text. In this paper we survey BabelNet, a popular wide-coverage lexical-semantic knowledge resource obtained by merging heterogeneous sources into a unified semantic network that helps to scale tasks and applications to hundreds of languages. Over its ten years of existence, thanks to its promise to interconnect languages and resources in structured form, BabelNet has been employed in countless ways and directions. We first introduce the BabelNet model, its components and statistics, and then overview its successful use in a wide range of tasks in NLP as well as in other fields of AI.
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5

Er-Rady, Adil, R. Faizi, R. Oulad Haj Thami, and H. Housni. "Automatic sign language recognition: A survey." In 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2017. http://dx.doi.org/10.1109/atsip.2017.8075561.

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6

Kausar, Sumaira, and M. Younus Javed. "A Survey on Sign Language Recognition." In 2011 Frontiers of Information Technology (FIT). IEEE, 2011. http://dx.doi.org/10.1109/fit.2011.25.

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7

Etman, A., and A. A. Louis Beex. "Language and Dialect Identification: A survey." In 2015 SAI Intelligent Systems Conference (IntelliSys). IEEE, 2015. http://dx.doi.org/10.1109/intellisys.2015.7361147.

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8

Wu, Jiayang, Wensheng Gan, Zefeng Chen, Shicheng Wan, and Philip S. Yu. "Multimodal Large Language Models: A Survey." In 2023 IEEE International Conference on Big Data (BigData). IEEE, 2023. http://dx.doi.org/10.1109/bigdata59044.2023.10386743.

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Kolhatkar, Dhruv, and Devika Verma. "Indic Language Question Answering: A Survey." In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS). IEEE, 2023. http://dx.doi.org/10.1109/icais56108.2023.10073689.

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10

Mathias, Sandeep, Diptesh Kanojia, Abhijit Mishra, and Pushpak Bhattacharya. "A Survey on Using Gaze Behaviour for Natural Language Processing." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/683.

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Анотація:
Gaze behaviour has been used as a way to gather cognitive information for a number of years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural language processing (NLP) without having to record it at test time. This is because the collection of gaze behaviour is a costly task, both in terms of time and money. Hence, in this paper, we focus on research done to alleviate the need for recording gaze behaviour at run time. We also mention different eye tracking corpora in multiple languages, which are currently available and can be used in natural language processing. We conclude our paper by discussing applications in a domain - education - and how learning gaze behaviour can help in solving the tasks of complex word identification and automatic essay grading.
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Звіти організацій з теми "Survey Language"

1

Ball, Staci. Methods of Language Assessment: A Survey of Oregon Public School Speech-language Pathologists. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6846.

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2

Aylor, James, Robert Klenke, Ron Waxman, Paul Menchini, Jack Stinson, and Bill Anderson. VHSIC Hardware Description Language (VHDL) 200X Requirements Report/Survey. Fort Belvoir, VA: Defense Technical Information Center, November 1999. http://dx.doi.org/10.21236/ada406178.

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3

Stickland, Michael G., Gregory N. Conrad, and Shelley M. Eaton. Natural language processing-based COTS software and related technologies survey. Office of Scientific and Technical Information (OSTI), September 2003. http://dx.doi.org/10.2172/917479.

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Lehnert, Wendy G. Knowledge-Based Natural Language Understanding: A AAAI-87 Survey Talk. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada249120.

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Lehnert, Wendy G. Knowledge-Based Natural Language Understanding: A AAAI-87 Survey Talk. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada249639.

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6

Surface, Eric A. SOF Language Transformation Strategy Needs Assessment Project: SOF Operator Survey Report. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada634233.

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Surface, Eric A. SOP Language Transformation Strategy Needs Assessment Project: Army Operator Survey Report. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada634236.

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8

Van Doren, Laura. Research Thesis Essay of Findings from Campus Language Capacity Survey 2012-2014 Done in Collaboration with the Heritage Language Initiative. Portland State University Library, January 2014. http://dx.doi.org/10.15760/honors.86.

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9

Donohoe, Patrick. A Survey of Real-Time Performance Benchmarks for the Ada Programming Language. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada200608.

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10

Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41960.

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Анотація:
The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text in the digitally available USDA soil taxonomy documentation and the Soil Survey Geographic database. Previous research has shown that latent information structure can be extracted from scientific literature using Natural Language Processing techniques, and we show that this latent information can be used to expedite query performance by using syntactic elements and part-of-speech tags as indices. Technical vocabulary often poses a text mining challenge due to the rarity of its diction in the broader context. We introduce an extension to the common English vocabulary that allows for nearly-complete indexing of USDA Soil Series Descriptions.
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