Cómo citar
Resumen
Linguistic studies dealing with the text analysis are up-to-date. The present article is a descriptive one aimed to give information on the periods of the text complexity studying in Russian linguistics. As the pre-survey showed unlike the foreign experience there is a lack of information on this topic in Russian studies. Text complexity is a subject of many foreign researches as well as there are many researches on what parameters should be considered as text complexity parameters. The fulfilled researcher allows to point out the three main periods. The first period that is the second half of the XX century is concentrated primarily on quantitative parameters of the text (text length, sentence length, word length etc) that is readability. The second period is the turn of the XX and XXI centuries tends to solve the problem of comprehensibility and the quantitative parameters are enlarged with some qualitative (words acquaintance, word abstractness etc.). The third period is the modern stage of text complexity studying which supposes the development of different computer programs to evaluate the text complexity automatically.
Citas
Abramov V.E. 2008.Avtomaticheskoe rubritsirovanie i referirovanie tekstovoy informatsii: v tom chisle na inostrannykh yazykakh: dis... kand. tekhnich. nauk. : 05.25.05 / Abramov Valeriy Evgen'evich. – M., 163 p.
Alderson J.C. 2000. Assessing Reading. – New York: Cambridge University Press, 2000. – 398 p.
Al-Khalifa H.S., Al-Ajlan A.A. 2010.Automatic Readability Measurements of the Arabic Text: An Exploratory Study. The Arabian journal for science and engineering, 35 p.
Begtin I.V. 2014.Chto takoe «Ponyatnyy russkiy yazyk » s tochki zreniya tekhnologiy. Zaglyanem v metriki udobochitaemosti tekstov: Blog kompanii «Informatsionnaya kul'tura ». URL: http://habrahabr.ru/company/infoculture/blog/238875/, Ñвободный. Проверено 16.07.17.
Biryukov B.V., Tyukhtin B.C. 1967. O ponyatii slozhnosti. V kn.: Logika i metodologiya nauki. Materialy IV Vsesoyuznogo simpoziuma. – M.: Prosveshchenie, Nauka, P. 219-231.
Crossley S.A., Greenfield J., McNamara D.S.2008. Assessing Text Readability Using Cognitively Based Indices. Tesol Quarterly, Vol. 42. No. 3. – P. 475-493.
Ermakov A.E., Pleshko V.V. 2002.Sintaksicheskiy razbor v sistemakh statisticheskogo analiza teksta // Informatsionnye tekhnologii. : Izd. «Novye tekhnologii ». no. 7. – P. 30-34.
Filippova A.V. Upravlenie kachestvom uchebnykh materialov na osnove analiza trudnosti ponimaniya uchebnykh tekstov: avtoref. dis. ”… kand. tekhn. nauk : 05.13.10 / Filippova Anastasiya Vladimirovna. – Ufa, 2010. – 20 p.
Flesch R. 1949.The Art of Readable Writing. – Harper & Row, 1949. – 237 p.
Gal'perin I.R. 1981.Tekst kak ob"ekt lingvisticheskogo issledovaniya. – M.: Nauka, 1981. – 140 p.
Grechikhin A.A. 2007.Sotsiologiya i psikhologiya chteniya: Uchebnoe posobie dlya vuzov. – M.: MGUP, 383 p.
Just M.A., 1987.Carpenter P.A. The psychology of reading and language comprehension. – MA, US: Allyn & Bacon, 1987. – 518 p.
Karpov N.V. 2014.Identifikatsiya urovnya slozhnosti teksta i ego adaptatsiya. –URL: http://www.slideshare.net/karpnv/ss-31225145#14356960593761&fbinitialized, Kincaid J.P., Fishburne R.P., Rogers R.L., Chissom B.S. Derivation of new readability formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy enlisted personnel (Research Branch Report 8-75). – Memphis, TN: Naval Air Station, 1975. – 40 p.
Koda K. 2005.Insights into second language reading. – Cambridge: Cambridge University Press, 2005. – 344 p.
Kosova M.M., Zil'bergleyt M.A. 2006.Opisatel'naya statistika uchebnykh tekstov po fizike // Trudy BGTU. Ser. VI. «Izdat. delo i poligrafiya », Vol. XIV. – P. 167-170.
Krioni N.K., Nikin A.D., Filippova A.V. 2008.Avtomatizirovannaya sistema analiza parametrov slozhnosti uchebnogo teksta // Tekhnologiya i organizatsiya obucheniya : nauch. izdanie. – Ufa: UGATU, P. 155-161.
Lerner I.Ya.1974. Kriterii slozhnosti nekotorykh elementov uchebnika: Problemy shkol'nogo uchebnika. – M., Vol. I. P. 47-58.
Lesskis G.A. 1964.O zavisimosti mezhdu razmerom predlozheniya i ego strukturoy v raznykh vidakh teksta. – VYa, no. 3. – P. 99-123.
Matskovskiy M.P. 1976.Problemy chitabel'nosti pechatnogo materiala V kn.: Smyslovoe vospriyatie rechevogo soobshcheniya v usloviyakh massovoy kommunikatsii. – M.: Nauka, P. 126-142.
Mikk Ya.A.1970. O faktorakh ponyatnosti uchebnogo teksta: Avtoref. dis. kan. ped. nauk. / Mikk Yaan Arnol'dovich. – Tartu: Izd-vo Tart. in-ta, 1970. – 22 p.
Nevdakh M.M. 2008.Issledovanie informatsionnykh kharakteristik uchebnogo teksta metodami mnogomernogo statisticheskogo analiza // Prikladnaya informatika.: Izd. "NOU «MFPU «Sinergiya »", – 2008. – no. 4. – P. 117-130.
Nikin A.D., Krioni N.K., Filippova A.V.2007. Informatsionnaya sistema analiza uchebnogo teksta // Telema-tika”™:tr. XIV Vserop. nauch.-metod. konf. T. 2. GosNII inform. tekhnol. i telekommunikatsiy «Informika », 2007. – P. 463-465.
Oborneva I.V.2006. Avtomatizirovannaya otsenka slozhnosti uchebnykh tekstov na osnove statisticheskikh parametrov: dis. ... kand. ped. nauk: 13.00.02 / Oborneva Irina Vladimirovna. – Moscow, 165 p.
Piotrovskiy R.G., Bektaev K.B., Piotrovskaya A.A. 1977.Matematicheskaya lingvistika. Ucheb. posobie dlya ped. institutov. – M.: Vysshaya shkola, 383 p.
Pushkina E.P. 2004.Teoretiko-eksperimental'noe issledovanie strukturno-semanticheskikh parametrov teksta: Avtoref. dis. kand. filol.nauk: 10.02.19 / Pushkina Elena Sergeevna. – Kemerovo, 155 p.
Razumovskiy O.P. 1999.Optimologiya, chast 1. Obshchenauchnye i filosofsko-metodicheskie osnovy. – Novosibirsk: Izdatel'stvo IDMSh, 285 p.
Shpakovskiy Yu.F. 2007.Otsenka trudnosti vospriyatiya i optimizatsiya slozhnosti uchebnogo teksta: (Na materiale tekstov po khimii): avtoref. dis ... kand. filol. nauk: 10.02.19 / Shpakovskiy Yuriy Frantsevich. – Minsk, 2007. – 21 p.
Solnyshkina M.I., Harkova E.V., Kiselnikov A.S. 2014.Comparative Coh-Metrix Analysis of Reading Comprehension Texts: Unified (Russian) State Exam in English vs Cambridge First Certificate in English / English Language Teaching. – Canada. Canadian Center of Science and Education, Vol.7, No. 12. – P. 65-76.
Solovyev V, Ivanov V. 2016.Knowledge-Driven Event Extraction in Russian: Corpus-Based Linguistic Resources. – Computational Intelligence and Neuroscience,– vol. 2016, – Article ID 4183760, 11 pages. doi:10.1155/2016/4183760.
Tolpegin P.V. 2008.Avtomaticheskoe razreshenie koreferentsii mestoimeniy tret'ego litsa russkoyazychnykh tekstov: dis. ... kand. tekhnich. nauk: 05.13.17 / Tolpegin Pavel Vladimirovich. – M, 238 p.
Tomina Yu.A. 1985.Ob”™ektivnaya otsenka yazykovoy trudnosti tekstov (opisanie, povestvovanie, rassuzhdenie, dokazatel'stvo): dis. ... kand. ped. nauk: 13.00.02 / Tomina Yuliya Alekseevna. – M, 226 p.
Tuldava Yu.A.1979. O nekotorykh kvantitativno-sistemnykh kharakteristikakh polisemii // Uchenye zapiski Tartuskogo universiteta. – Tartu: Izd-vo Tart. un-ta., – Vol. 502. – P. 107-124.
Ushakov K.M.1980. O kriteriyakh slozhnosti uchebnogo materiala shkol'nykh predmetov // Novye issledovaniya v pedagogicheskikh naukakh. no. 2 (36) / Sost. I.K. Zhuravlev, B.C. Shubinskiy. – M.: Pedagogika, P. 33-35.
Zil'bergleyt M.A., Shpakovskiy Yu.F., Nevdakh M.M. 2012.Povyshenie kachestva uchebnoy literatury dlya vuzov // Izdatel'skoe delo i poligrafiya: tezisy 76-y nauch.-tekhnich. konferentsii professorsko-prepodavatel'skogo sostava, nauchnykh sotrudnikov i aspirantov, Minsk, 13-20 fevralya 2012 g. (Elektronnyy resurs) / otv. za izdanie I. M. Zharskiy; UO «BGTU ». – Minsk: BGTU, P. 89-92.