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© МПГУ, 2018 Выходит 4 раза в год Сайт: rhema-journal.com E-mail: [email protected] УЧРЕДИТЕЛЬ: Московский педагогический государственный университет ПИ № ФС 77–67769 от 17.11.2016 г. Адрес редакции: 109240, Москва, ул. В. Радищевская, д. 16–18, комн. 223 Издается с 2002г. УДК 8:372.8 ISSN 2500-2953 2.2018 Rhema. Рема
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,2018

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:rhema-journal.com E-mail:[email protected]

:

7767769 17.11.2016.

: 109240,,..,.1618,.223

2002.

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2.2018

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E-mail:[email protected] accessedvia:rhema-journal.com

THE FOUNDER: MoscowPedagogicalStateUniversity

Massmedia registration certificate 77-67769asof17.11.2016

Editorial office: Moscow,Russia,Verhnyaya Radishchevskayastr.,1618,room223,109240

ISSN 2500-2953

2.2018

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Editorial BoardEditor-in-ChiefAnton V. Zimmerling Dr. Phil. Hab.; head of the Institute forModern Lin-

guistic Research, Moscow Pedagogical State University; principal research fellowattheInstituteofLinguistics,RussianAcademyofSciences;professorattheDepart-ment of General Linguistics and Russian Language, Pushkin State Russian Lan-guage;professorattheDepartmentofComputationalLinguisticsandFormalModelsofLanguage,MoscowPedagogicalStateUniversity.

DeputychiefeditorEkaterina A. LyutikovaDr.Phil.Hab.;associateprofessorattheDepartmentof

TheoreticalandAppliedLinguistics,LomonosovMoscowStateUniversity;headoftheLaboratoryofGeneralLinguisticsandGrammaticalTheory,InstituteforModernLinguisticResearch,professor at theDepartmentofComputationalLinguistics andFormalModelsofLanguage,MoscowPedagogicalStateUniversity.

ExecutivesecretaryPavel V. Grashchenkov Dr. Phil.Hab.; associateprofessor at theDepartment

of Theoretical and Applied Linguistics, Faculty of Philology, Lomonosov MoscowStateUniversity;researchfellowattheInstituteofOrientalStudies,RussianAcademyof Sciences; senior research fellow of the Laboratory of General Linguistics andGrammaticalTheory, Institute forModernLinguisticResearch,MoscowPedagogicalStateUniversity.

Lyubov G. Chapaeva Dr.Phil.Hab.; professor at theDepartmentofGeneralandAppliedLinguistics,InstituteofPhilologyandForeignlanguages,MoscowPeda-gogicalStateUniversity.

Aleksandr Feduta Dr.Phil.Hab.; editor-in-chief of thebiographical almanacPersonalityandTime,Minsk,Belarus.

Natalia D. GalskovaDr.Ped.Hab.;rofessorattheDepartmentofLinguodidac-tics,MoscowRegionStateUniversity.

Elena V. GetmanskayaDr.Ped.Hab.;professorattheDepartmentofMethodsofTeachingLiterature,MoscowPedagogicalStateUniversity.

Atle Grnn Dr.Phil.Hab.;professoratILOSDepartmentofLiterature,AreaStudiesandEuropeanLanguages,UniversityofOslo,Norway.

Ilona KissPhDinPhilology;chiefeditoroftheRussianQuarterjournalofBuda-pestEtvsLorndUniversity; professor at theDepartment of theWorldsLitera-tures,MoscowPedagogicalStateUniversity,seniorfellowattheRussianInstituteforAdvancedStudies,MoscowPedagogicalStateUniversity.

Alexey A. Korenev PhD in Pedagogy; senior lecturer at the Departmentof Foreign Language Teaching Theory, Faculty of Foreign Languages and AreaStudies,LomonosovMoscowStateUniversity.

Pavel Lavrinec PhDinPhilology;associateprofessor,headoftheDepartmentofRussianPhilology,VilniusUniversity,Lithuania.

Anatoly Liberman Dr. Phil. Hab.; professor at the Department of German,DutchandScandinavian,UniversityofMinnesota,USA.

Silvia Luraghi PhD in Philology; associate professor at the DepartmentofHumanities,SectionofGeneralandAppliedLinguistics,UniversityofPavia,Italy.

Mikhail Mikhailov PhD inPhilology; professor at theSchool ofLanguage,TranslationandLiteraryStudies,UniversityofTampere,Finland.

Igor A. Pilshikov Dr. Phil. Hab.; senior research fellow at the Instituteof the World Culture, Lomonosov Moscow State University; editor-in-chiefoftheFundamentaldigitallibraryRussianliteratureandfolklore.

Nerea Madariaga Pisano PhD in Philology; associate professor at the De-partmentofClassicalStudies(SectionofSlavicPhilology),UniversityoftheBasqueCountry,Vitoria,Spain.

Vladimir A. Plungian Dr. Phil. Hab., full member of the Russian AcademyofSciences;deputydirectoroftheVinogradovInstituteofRussianLanguage,RussianAcademyofSciences;headoftheSectorofTypology,Instituteoflinguistics,RussianAcademy of Sciences; professor at the Department of Theoretical and AppliedLinguistics,LomonosovMoscowStateUniversity.

Velka A. Popova PhD in Philology; associate professor at the Departmentof Bulgarian, research fellow at the Laboratory of Applied Linguistics, FacultyofHumanities,theConstantinofPreslavBishopShumenUniversity,Bulgaria.

Natalia V. SerdobolskayaPhDinPhilology;associateprofessorattheTrainingandResearchCenterforLinguisticTypology,InstituteofLinguistics,RussianStateUniversity for the Humanities; head of the Laboratory of Linguistic Typology,InstituteforModernLinguisticResearch,MoscowPedagogicalStateUniversity.

Andrej Stojanovi Dr. Phil. Hab., full professor; head of the DepartmentofForeignLanguages,UniversityofBelgrade,Serbia.

Mladen Uhlik Dr. Phil.Hab., professor; head of theDepartment of Russian,Institute of Slavic Languages, Faculty of Philosophy, University of Ljubljana,Slovenia.

Tatiana M. Voiteleva Dr.Ped.Hab.,professorattheDepartmentoftheMethodsofTeachingRussianLanguageandLiterature,MoscowRegionStateUniversity.

Suren T. ZolyanDr.Phil.Hab.,professor; leading research fellowat theDe-partment of Theoretical Philosophy, Institute of Philosophy, Sociology and LawStudies,NationalAcademyofSciences,Yerevan,Armenia;professorattheInstitutefortheHumanities,ImmanuelKantBalticFederalUniversity,Kaliningrad,Russia.

2.2018

.

..(VIII,2731).............. 9

....: ....................... 16

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..:................ 48

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.. ....... 112

ntents 2.2018

PHILOLOGY AND TEXTOLOGY

A.V.KotovaOnthesourcesofasimileinValeriusFlaccusArgonautica(VIII,2731) .............. 9

S.M.PronchenkoPropernamesinthepoeticsystemofCountA.K.Tolstoy:paradigmaticandsyntagmaticaspects................... 16

A.TernikaThepoeticsoftimeinTurgenevsAndreiKolosov........... 39

LINGUISTICS

M.D.VasilyevaProgressivedemaskingtaskasamethodtostudyvisualwordrecognition:thecaseofinflectednouns............ 48

E.PinelliPresentationofthepastandthefutureinNewYearsaddresses:onthedataofV.Putinsspeeches..................... 62

N.V.SerdobolskayaDirectquotationconstructionwiththeverbdumat(think)inRussian.................................. 84

TEACHING THEORY

A.A.KorenevFeedbackinlearning,teachingandeducationalcommunication ..................... 112

9

Rhema. . 2018. 2

.

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(VIII, 2731)

(VIII, 2731), . -, , -, , tertium comparationis. (A. R. IV, 5761; Verg. A. I, 498504), . : , , , , .

A.V. Kotova

Saint-Petersburg State Academy ofVeterinary Medicine, St. Petersburg, 196084, Russian Federation

On the sources of a simile in Valerius Flaccus Argonautica (VIII, 2731)

The article discusses a simile in Valerius Flaccus Argonautica (VIII, 2731), which is connected with the myth of Endymion and the Moon. The author reveals lexical parallels and situational similarities with other texts, specifies the features that are common for the tenor and the vehicle of the simile, and establishes what is its tertium comparationis. The author also analyzes the verse lines (A. R. IV, 5761;

Rhema. . 2018. 2

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Verg. A. I, 498504), which served as the literary sources for both the content and the form of the simile under discussion.Key words: epic, Roman literature, Valerius Flaccus, Argonautica, similes in Roman literature.

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Rhema. . 2018. 2

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Rhema. . 2018. 2

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/ References

Brunk,1813ApolloniiRhodiiArgonautica/Exrec.etcumnotisRich.Fr.Phil.Brunkii.T.II.Lipsiae,1813.

Burman,1724C.ValeriiFlacciSetiniBalbiArgonauticon libriocto /CuranteP.Burmanno.Leidae,1724.

Grtner,1994GrtnerU.GehaltundFunktionderGleichnissebeiValeriusFlac-cus.Stuttgart,1994.

Langen,1897C.ValeriFlacciSetiniBalbiArgonauticon libriocto.Parspost.cont.librosIVVIII/Enarrav.P.Langen.Berolini,1897.

.

15

Rhema. . 2018. 2

Liberman,2002ValeriusFlaccus.Argonautiques.T.II:ChantsVVIII/TextetabliettraduitparG.Liberman.Paris,2002.

Maserius,1519C.ValeriiFlacciSetiniBalbiArgonauticonlibrioctocumerudi-tissimisAegidiiMaseriiParrhisiensiscommentariis.VaenundanturinaedibusIoannisParvi&IodociBadiieorumdemimpressoris.1519.

Ravisius Textor, 1600 Theatrum poeticum atque historicum sive Officina Io.RavisiiTextoris.Basileae:SumptibusAndreaeCellarii,1600.

Spaltenstein, 2005 Spaltenstein F. Commentaire des Argonautica de ValriusFlaccus(livres6,7et8).Bruxelles,2005.

Summers,1894SummersW.C.AStudyoftheArgonauticaofValeriusFlaccus.Cambridge,Bell,1894.

Wendel,1914ScholiainTheocritumvetera/Rec.C.Wendel.Lipsiae,1914.

07.11.2017

The article was received on07.11.2017

; ,-

Kotova Anastasia V.PhDinPhilology;associateprofessorat theDepartmentofForeignLanguages,Saint-PetersburgStateAcademyofVeterinaryMedicine

E-mail:[email protected]

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..

.. ., 243020, . ,

.. :

- (18171875). - . , -, , , , , , , , , , ., , - , - , -- , . : .. , , - , - .. , , .

S.M. Pronchenko

Branch ofBryansk State Academician I.G. Petrovski University inNovozybkov, 243020, Novozybkov, Bryansk Region, Russian Federation

Proper names in the poetic system of Count A.K. Tolstoy: paradigmatic and syntagmatic aspects

The article systematically considers the proper names from the lyrical and lyric-epic works of the prominent Russian author Alexei K. Tolstoy (18171875).

.

17

Rhema. . 2018. 2

The functioning of the poetonyms is analyzed in respect to their paradigmatic and syntagmatic aspects. As a result, the functional features of the poetonymosphere of the names used by Tolstoy are identified, as well as the role and significance of the poetonymosphere in his satirical, humorous, and medical poems, juvenilia, ballads, epic songs, parables, odes, fables, narrative poems, poetic billets, etc. The following important categories of poetic speech are revealed: the aesthetic function of words, the authors individual semantic-stylistic system and the particulars of word usage, the meaning of the word in poetry.Key words: A.K. Tolstoy, poetonymosphere, proper names in the poetic text, lyrical and liro-epic works, paradigmatic and syntagmatic aspects.

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/ References

.. ... -..,/.[Aikhenval'dYu.I.Neskol'koslovopoeziigrafaA.K.Tolstogo[SeveralwordsaboutpoetryofthecountA.K.Tolstoy].Moskow.]

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,1910..(,,-)..,[1910][KruglovA.V.Desyat'poetov:(Portrety,biografii,kharakteris-tiki)[Tenpoets:(Portraits,biographies,characteristics)].Moscow,[1910].]

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,1969...//....: 4- . / . . . . 1. . -,,.....,1969..350. [Yampol'skii I.A.K.Tolstoi.TolstoiA.K. Sobraniesochinenii.YampolskyI.(ed.).Moscow,1969.Pp.350.]

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The article was received on05.12.2017

;-,- .. .

Pronchenko Sergei M. PhD in Philology; associate professor at the Depart-ment of Social, Economic andHumanitarianDisciplines, Branch ofBryansk StateAcademicianI.G.PetrovskyUniversityinNovozybkov

E-mail:[email protected]

.

39

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.

, 394018 . ,

..

.. . , - . - - . : , , , .. , , .. , - XIX .

A. Ternika

Voronezh State University, Voronezh, 394018, Russian Federation

The poetics of time in Turgenevs Andrei Kolosov

The article discusses the poetics of time in Ivan Turgenevs short novel titled Andrei Kolosov and is focused on the temporal organization of the text and its connection with characterology. The author establishes the plot-forming role of the poetics of time and considers the concepts that are fundamental to the subject of research. The role of two time axes the time of the narrative and the time of the plot is highlighted. And also our objective is to explain the time gap, which is largely determined by the weak position of the narrator. Key words: Turgenev, Andrei Kolosov, time, short novel, poetics, narrative, charac-terology in short novels of I.S. Turgenev.

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.. -.,..,- , .,,- . : .. , .. , .. -, .. , .. . , - .. ..-[,1972,.86].-..- [Peace, 2002]. The novels ofTurgenev:symbolsandemblems,-,. -

.. ..,-, [, 2002]. .,,-

..,.. (1844) ..-

, 1844.. XIX . , -...-,-[,1962,.248].,-,-.

.

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,-,- , , , -,.,-,[,2003,.312].:,,-,,-, ()[,1980,.7].,

.-,: , , -. [].-,,-,:[,1980,.8].,,[, 1998, . 313416], -., (..)-

, , , . -, , .-:,- , , -[,2000,.519]..., : ,[,2000,.87].

:,-,,.,,--,.

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,,-,-.,:,- , -.-

, -.,[,1980,.7], . -,,:[,.8].,-, :.: ;[,.9].,,

, : ,-, ...[].-

[ ]. [ ]. -, , .,.: ,,-,,, , ; : , , [, 1980, . 12]. : - , [,.11].,

, [ , . 33]. ,,-:,.-, , .

.

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, , ,,,,. : -

.: -;,...[,1980,.12]., , ,:...-...[,.13].-

:-,[,.12].:-., , : [,.20]., -., . - , : ,,[,.16]., , -:[,.19].,,-., -

:... ... . -,,[].,,,-. ,

: , -., -. . -:

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, [, 1980, . 23]. , .,-

- : , , [ , . 24]. , .,

, [ , . 27] - : ,;,,[].

.,-,,,,[,1980,.10].,

. , : -:,- [, . 28]. , ,. , , , -

, -.,, : - , ... [,.19].,, .,-,:,...,-,......,[,.24]. , -

.,

.

45

Rhema. . 2018. 2

. , , ,,,,.-,-:-,,.,-

., , , , - . [-,1980,.28]. , , ,.,,!.,,[,.2829].-, , ,,...,

.:-,,?[,.31]., , ,. -

, ,.:-,[,. 32]. , , :?-.,.[,.33]. , , ,

.-,,

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. , .,-

- , .,,-,.,,,,,,-,,.

/ References

,1972..-..,1972.[BatyutoA.I.Turge-nev-romanist[TurgenevtheNovelist].Leningrad,1972.]

,1975....,1975.[Bak-htinM.M.Voprosyliteraturyiestetiki[Questionsofliteratureandaesthetics].Mos-cow,1975.]

, 2000 .. //....:7..,2000..2..5175.[BahtinM.M.Problemytvorchestva Dostoevskogo [Problems of Dostoevsky's Creative Act]. Bahtin M.M.Sobraniesochineniy.Vol.2.Moscow,2000.P.5175.]

, 1962 .., . .-., 1962.[ByalyjG.A.,Turgenevirusskijrealizm[TurgenevandRussianrealism].MoscowLeningrad,1962.]

, 1998 . . III. ., 1998.[GenetteG.Rabotypopoetike.Figury III [Worksonpoetics.Figures III].Mos-cow,1998.]

, 1972 .. -., 1972. [KurlyandskayaG.B.HudozhestvennyjmetodTurgeneva-romanista[TheartisticmethodofTurgenevthenovelist].Tula,1972.]

, 2002 .. .. . , 2002. [Logutova N.V. Poetika prostranstva i vreme-ni romanovI.S.Turgeneva[Poeticsofspaceand timeofnovelsby I.S.Turgenev].Kostroma,2002.]

,2000..-.,2000.[NyubinaL.M.Poehtikaipragmatikamnemonichesko-gopovestvovaniya [Poetics andpragmatics of themnemonic narrative]. Smolensk,2000.]

, 2010 .. : - ; . 2- .., 2010.[Paducheva E.V. Semanticheskie issledovaniya: Semantika vremeni i vida v russ-komyazyke;Semantikanarrative[Semanticresearch:SemanticsoftimeandspeciesintheRussianlanguage;Semanticsofnarrative].Moscow,2010.]

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,1987......,1987.[Pustovojt P.G. I.S. Turgenev hudozhnik slova [Turgenev artist of the word].Moscow,1987.]

,1998...III.-/....;.....;,1998.[RicoeurP.Vremyairasskaz.Vol.12.Intrigaiistoricheskiyrasskaz[Timeandstory.Vol.12.Intrigueandhistoricalstory].Moscow,St.Petersburg,1998.]

,1980..//.....12..4:18441854,..,1982..733.[Tur-genevI.S.AndreyKolosov.TurgenevI.S.Polnoesobraniesochineniyvdvenadtsatitomakh.T.4:Povestiirasskazy18441854,Nov'.Moscow,1980.P.733.]

,1995..:-//..- .., 1995.. 7218. [Uspenskij B.A.A poetics of composition:Thestructureoftheartistictextandtypologyofacompositionalform.UspenskijB.A.Semiotikaiskusstva.Moscow,1995.P.7218.]

, 1979 .. .. ..,1979.[ShatalovS.E.,HudozhestvennyjmirI.S.Turgeneva[TheartisticworldofIvanTurgenev].Moscow,1979.]

,1969......,1969.[ShatalovS.E.Problemypoehtiki I.S.Turgeneva[Problemsofpoeticsof IvanTur-genev].Moscow,1969.]

, 2003 . .., 2003. [SchmidW. Narratologiya[Narratology].Moscow,2003.]

Peace,2002PeaceR.TheNovelsofTurgenev:Symbolsandemblems.Bristol,2002.

05.12.2017

The article was received on05.12.2017

-, -

Ternika Alina graduate student at the Department of History and TypologyofRussianandForeignLiteratureoftheFacultyofPhilology,VoronezhStateUni-versity

E-mail:[email protected]

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..

. .. , 119991 . ,

: 1

- , . , , , . . , , , - , . , . -, , - . , - . : , -, , , , .

1..,.....

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M.D. Vasilyeva

Lomonosov Moscow State University, Moscow, 119991, Russian Federation

Progressive demasking task as a method to study visual word recognition: the case of inflected nouns2

The role of case in noun processing remains one of the unsolved issues in the visual word recognition literature. For instance, it is disputed whether different case forms have equal processing cost. The present work focuses on the proces-sing of Russian nominal inflection. The goal is to assess how joint factors such as case, ambiguity and context affect visual recognition of nouns in the singular form. Here we explore the early stages of word identification using the progressive demasking task. Progressive demasking reveals comparable results to the lexical decision task, supporting the idea that case processing differences are general and not task-specific.Key words: visual word recognition, morphological processing, progressive demasking task, Russian inflection, case, ambiguity.

1. IntroductionResearch on morphological processing constitutes a vast domain

in the visual word recognition literature. The core questions are howthe morphological structure is encoded in the mental lexicon and howmorphologicalcomplexityaffectslexicalaccess.In the present study,we extend ourwork on the processing of Russian

nominal inflection [Vasilyeva, to appear]. The prior study involvedonly the lexical decision task (LDT), a method that is widely employedin the visual word recognition literature (see, e.g. [Baayen, 2014]).In the LDT, the participant is presentedwith sequences of letters and hasto judgewhether they are legalwords.Nevertheless, the LDT has severaldrawbacks.ResponselatenciesmeasuredintheLDTreflectnotonlythetimecourse of the lexical access, but also the time spent for decision making[Diependaeleetal.,2012].Furthermore,theprocessingofwordstimulimay

2TheauthorwouldliketothankLeonoraLytchkoandAnnaKulakovafor theirassistancewithparticipantrecruitmentaswellasMariaFalikmanandOlgaFedorovafortheircommentsontheearlierversionofthispaper.

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be affected by the properties of constructed non-words (see, e.g. [Baayen,2014]).Thus,Vasilyeva(toappear)sfindingsmightbeconfounded.One way of moving beyond the LDT preponderance, as suggested

in [Baayen, 2014], is to dispense with the investigation of isolatedlypresentedwordsandshifttotherecognitionofcontext-embeddedwords.Weacknowledgetheecologicalvalidityofthisapproach,yetitisnotparticularlysuitableforstudyingtheroleofcaseinwordrecognition.Effectsobservedforwordformspresentedinisolationdonotshowupforwordformsembeddedin sentences (e.g., [Hyn,Vainio, 2002]).We believe that the traditionalLDT research might still give considerable insight, if it is complementedwith another method that also involves the presentation of the stimulusinisolation,butlacksthedecisionmakingcomponentanddoesnotrequirenon-wordconstruction.One such task is the progressive demasking task (PDT) developed

by Grainger and Segui (1990). The PDT is a variant of the continuousthresholdlatencyidentification[Feusteletal.,1983]andmightberegardedasavisualmodalityanalogueofthegatingtask[Grosjean,1980]thatisusedintheauditorywordrecognitionresearch.InthePDT,thestimulus(signal)and the mask (noise) are rapidly presented one after the other in cyclesof constant length. With each successive cycle, the signal becomes moreprominent(thepresentationtimeofthestimulusincreases),whilethenoiseis slowly reduced (the presentation time of themask gets shorter). Underthese conditions, the participant has an illusion that theword is graduallyemergingfromthemask.Theparticipantstaskistopressabuttonassoonass/heidentifiestheword.SincethewordrecognitioninthePDTissloweddownorratherstretched

out,startingwith[Grainger,Segui,1990],thismethodwasassumedtocaptureearlystagesofvisualwordrecognitionand,thus,tobeparticularlyappropriatefortheinvestigationofperceptualproperties(suchaslength,surface(wordform)frequency,phonologicalandorthographicneighborhood).Subsequentresearchrevealed its sensitivity to semantic characteristics of the word (e.g., [Yapetal.,2012])andtoitsmorphologicalcomplexity(e.g.,[Laineetal.,1999]).Importantly, the PDT, unlike the LDT, is robust to postlexical (semantic)interference: for instance, the effect of the morphological family size (byamorphologicalfamilyweunderstandall thewordssharingthesameroot),whichisusuallyinterpretedasbeingsemanticinnature,ispresentintheLDT,butabsentinthePDT[Schreuder,Baayen,1997].Though word identification in the PDT happens in the visual modality,

parallels toauditorywordprocessingarealsodrawn [de Jonget al.,2000]:as in both cases theword unfolds over time,multiple candidatesmatchingtheincomingsignalareactivatedandevtntuallyonlyonecompetitorischosen.

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Inthisvein,whentheresultsoftheauditoryandvisualLDTdiverge,thePDTpatternstogetherwiththeauditoryLDT[Baayenetal.,2003].If we turn to nominal recognition, case forms of the same lexeme are

the most likely competitors in the identification process. The nominativeasthecitationformisdetectedthefastest([Laineetal.,1999]forFinnish),but whether other (oblique) case forms are identified with equal speedis so far unknown. The nominative superiority effect is also observableintheLDT(see,e.g.[Feldman,Fowler,1987]forSerbian;[Laineetal.,1999]for Finnish; [Gor et al., 2017] forRussian),while comparisons of obliquecaseprocessinggivecontradictoryresults(see,[Feldman,Fowler,1987]foranulleffectinSerbian;[Clahsenetal.,2001]foraneffectinGerman,etc.).In[Vasilyeva,toappear],reproducingoncemorethenominativesuperiority

effect,wearguefordifferencesinRussianobliquecaseprocessing(herewewilldiscussonlythedataforsingular).TwoinflectionalclassesofRussiannouns (feminine -a andmasculine - )were considered in the LDT (caseendings are provided in Table 1). According to our findings, obliquewordforms can be divided at least into two groups: instrumental and -u wordforms (ACC.F3 and DAT.M) are processed faster than -e wordforms(DAT/LOC.FandLOC.M);femininegenitivebelongstotheeasiergroup,whilemasculinegenitivetothemoredifficultgroup.Moreover,femininenounsare processed faster thanmasculine nouns in instrumental and the -e form(DAT/LOC.FandLOC.M).

Table1Case endings of Russian feminine -a and masculine -nouns

in the singular form

NOM GEN DAT ACC INS LOC

Feminine -a -y -e -u -oj -e

Masculine - -a -u - -om -e

Theobjectiveof thepresentstudyis toexplorethepotentialof thePDTin the investigation of the Russian case processing. Additionally, wewant to estimate whether inflectional and relative entropy measures playthe same role in thePDTas in theLDT.The inflectional entropyencodesthe amount of information that is proper to the lexemes paradigm,whiletherelativeentropyshowshowdissimilartwofrequencydistributionsarethat of the target word and that of its inflectional class; the smaller this

3Abbreviations: Ffeminine,ACCaccusative,DATdative,GENgenitive,INSinstrumen-tal, LOClocative,Mmasculine,NOMnominative.

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dissimilarityis,theeasieritistoprocessthenoun(e.g.,[Milinetal.,2009]for Serbian nouns; [Vasilyeva, to appear] for Russian feminine nouns).Formulasforcalculatinginflectionalandrelativeentropyareprovidedin(1)and (2), respectively, where the wordformwi belongs to the paradigm Pofalexemew,fstandsforfrequency,eistandsfortheinflectionalexponent,ICstandsfortheinflectionalclass.

(1) H Pf wf w

f wf w

i

w P

i

i

( ) = ( )( )

( )( )

log .2

(2) D IP ICf wf w

f w f wf e f e

i

w P

i

ii

( ) = ( )( )( ) ( )( ) ( )

log .2

To our knowledge, the impact of these measures on continuousword identification was not investigated. In principle, both measuresshould be associated with later stages of word processing similarlyto themorphological family size effect, and their influence, thus,will notemergeinthePDT.

2. MethodParticipants. 48 undergraduate or postgraduate students (32 female,

16male),aged1728yearsold(meanage20),allRussiannativespeakers,right-handed,withnormalorcorrectedtonormalvision,tookpartinthestudy.Stimuli.We used the same stimulus set as in [Vasilyeva, to appear]:

54 feminine and 54masculine base nounsmatched for lemma frequency.4 All stimuli did not undergo any stem alternations and had fixed stresson the stem. Length in the nominative form differed from 4 to 6 letters(eachgroupcomprisedonethirdofwordswitheachlength).CharacteristicsofthestimuliarepresentedinTable2.

4 We used the following words in our experiment (lemma frequency counts are giveninbrackets):

feminine nouns (mean: 47.39): anketa questionnaire (14.4), arfa hap (2.6), astraaster(3.8),auraaura(5.1),besedaconversation(87.5),bukvaletter.character(63.5),data date (49.5), doza dose (22.4), dyuna dune (2), fleita flute (5.8), gazetanewspaper(237.5),gitaraguitar(22.2),karetacarriage(9.4),kartamap(103),kassacashiersdesk(20.9),klumbaflower-bed(8.7),klyaksablot(4.5),koftajacket(7.7),lampa lamp (34), lapa paw (39.7), lenta ribbon (35.9), lira lyre (8), lyustralustre (9.9),mera measure (284.3),minuta minute (344.2),moneta coin (17.5),normanorm(111.3),orbitaorbite(15),palmapalmtree(14.3),pastapaste(6.3),pochva soil (56.2), poza pose (29.8), raketa rocket (62.9), rama frame (21.2),rana wound (29.4), rasa race (5.9), rifma rhyme (8.5), roza rose (42.7), shakhtapit(20.7),shinatire(15.3),shirmafolding-screen(5.3),shkolaschool(316),shlyapahat (34.2), shuba furcoat (18.7), shvabra mop (3.4), summa sum (130.6), trassaroute (32.5), travma trauma (19.6), tsifra numeric (62.2), tsitata citation (21.5),tykvapumpkin(5),vazavase(14.3),yakhtayacht(9.5),yurtayurt(2.7);

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Table2Word stimulus characteristics

Feminine M (SD) Masculine M (SD)

Lengthinlettersnominativesingularallsingularcaseforms

5.0(0.8)5.2(0.9)

5.0(0.8)5.8(1.1)

Lengthinsyllablesnominativesingularallsingularcaseforms

2.2(0.4)2.2(0.4)

1.8(0.6)2.4(0.7)

MeanLevensteindistancetothenearest20lexeme-neighbors5 2.0(0.4) 2.2(0.4)

Lemmafrequency6 47.4(76.5) 47.4(68.9)

Wordformfrequencyinsingular 7.3(19.3) 6.9(16.7)

Inflectionalentropy7 2.5(0.2) 2.5(0.3)

Relativeentropy 0.3(0.2) 0.3(0.3)

Nounswerepresentedinallsixcasesinsingular.Alatin-squaredesignwasemployedwiththenumberoflistscorrespondingtothenumberofcaseforms,sothatnoparticipantsawthesamelexemetwice.Asourwordswerepresentedwithout context, case labels for ambiguous endings (-y and -e for feminine

masculinenouns(mean:47.37):albomalbum(23.7),ananaspineapple(3.6),aromataroma (22.9), aspect aspect (35.6), atom atom (20.5), banan banana (7.3), batonloaf(ofbread)(5.3),bufetbuffet(20),butonbud(4.6),desertdessert(4),diplomdiploma (25.8), divan sofa (60.1), dzhip jeep (14.7), fontan fountain (18.4), fruktfruit(21.6),gimnhymn(14.8),idealideal(36),kanatrope(9),kaprizcaprice(7.1),kedr cedar (6.1), khalat bathrobe (36.1), klad treasure (7.5), komod dresser (5.2),kontur contour (15.3), kostyum costume. suit (81.3), kurort resort (12.8), metallmetal(57.5),momentmoment(306.8),nravtemper(17.8),ofisoffice(34.1),periodperiod(204.2),planplan(235.3),pledplaid(4.8),reisflight.voyage(22),remontreparation(64.2),ritmrhythm(30.6),rombrhombus(1.8),rulonroll(4.3),servisservice(14.6),sezonseason(69.2),shramscar(10.7),shtrafforfeit(32.3),simvolsymbol(46.4),soussauce(10.8),syuzhetstoryline(56.6),teatrtheater(305.3),teksttext(146.2),temptempo(49),tovaritemofgoods(115.5),tsiklcycle(43.6),virusvirus(106.5),vulkanvolcano(6),yarustier.layer(6.5),zhanrgenre(36).

5Itwascalculatedinthevwrpackage[Keuleers,2013].6 The source of lexeme frequency counts was the frequency dictionary [Lyashevskaya,

Sharoff, 2009]. Wordform frequency was measured in the Russian national corpora(www.ruscorpora.ru).Toavoidzero frequencies,before the statistical analysis,weaddedonetoallcounts,asproposedin[Brysbaert,Diependaele,2013].

7 In order to calculate these measures, we took exponent frequency from the database[Slioussar,Samojlova,2014].

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nouns, - formasculinenouns) are somewhat arbitrary.Hence,wedonotexpect anydifferencesbetween locative anddative -e, nornominative andaccusative-,andweusethemeanoverthetwoconditionsinthesubsequentanalysesofcontrasts.Procedure.Each participant was tested individually and completed only

oneofthesixexperimentallists.StimuliwerepresentedusingthePsychoPysoftware [Peirce, 2009]. In each trial, themask (a row of hashmarks) andthe target stimulus were presented sequentially in cycles. The durationofthecyclewasheldconstant(210ms).Inthefirstcyclethedurationofthemaskwas195ms,andthedurationofthestimuluswas15ms.Insubsequentcycles,thedurationofthemaskdecreasedby15ms,andthedurationofthestimulusincreasedby15ms.Thecyclescontinueduntiltheparticipanthitthespacebarindicating that s/he has recognized the word. After that, s/he had to typethewordsothatwecouldchecktheaccuracyofidentification.

3. ResultsAccuracy data were not analyzed (incorrect responses constituted less

than5%ofthedata).Priortotheanalysisofreactiontimes(RTs),incorrectand too slow (> 3000 ms) responses were removed. We applied log-transformationtoreducethepositiveskew.Remainingoutlierswerecutoffviainterquartiletrimmingbyparticipants,items(lexemes),genderandcase.8 RawRTstonounsindifferentcasesareprovidedinTable3.Linear mixed-effects modeling for the RT analysis was implemented

in the package lme4 [Bates et al., 2014] in the statistical software R[RCoreTeam,2014].T-values,p-valuesandstandarderrorsweredeterminedin the package lmerTest [Kuznetsova et al., 2015]. Fixed and randomeffects were included only if they significantly improved the models fitin a backward stepwise model selection procedure. The best model wasselected by applying Chi-square log-likelihood ratio tests with regularmaximumlikelihoodparameterestimation.Subject and lexemewere treated as randomeffects.Trial order (z-trans-

formation on log numbers) was included to account for longitudinal taskeffects such as fatigue or habituation; experimental list was includedto rule out potential counterbalancing issues. Log-transformed lexeme andwordformfrequency,lengthinlettersandsyllables,meanLevensteindistancetothenearest20lexeme-neighbors,inflectionalandrelativeentropymeasureswereadditionally includedascovariates.We transformedallcountsexceptfor trial into five principal components explaining 93.5% of the variance,

8Thismethodpresupposes thatonly thoseRTsarekeptwhichfall in thefollowingrange:Q1 (2.5 IQR)

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inordertoavoidpotentialmulticollinearity[Baayen,2008].Thefirstprincipalcomponent (PC1) captured orthographic characteristics of the stimulus.The second component (PC2) is inversely related to frequency. The thirdcomponent (PC3) is inversely related to the relativeentropyandpositivelyrelatedtotheinflectionalentropy.

Table3Mean RTs to feminine and masculine nouns in different cases

(SD is provided in brackets)

Feminine Masculine

Nominative 1518(247)1536(256)

Accusative 1561(284)

Genitive 1539(279) 1602(297)

Instrumental 1559(270) 1611(311)

Dative1611(290)

1592(269)

Locative 1642(314)

Paired contrasts for case and gender were effectuated in the packagelsmeans[Lenthetal.,2016],p-valueswereFDR-adjusted[Benjamini,Hoch-berg,1995].Thefinalmodelincludedsubjectandlexemeasrandomeffectsandthefol-

lowing fixed effects: trial (2(1) = 71.47, p

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Table4Final model for RTs

Random effects:

Groups Name Variance SD

Subject (Intercept) 0.001 0.036

Lexeme (Intercept) 0.013 0.113

Residual 0.016 0.127

Fixed effects:

B SE df t-value Pr (>| t |)

(Intercept) 7.311 0.018 69 403.95

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Participants identified feminine instrumental wordforms significantlyearlierthanmasculineinstrumentalwordforms;allothercontrastsforgenderwerenon-significant.

Table5Results of the paired contrasts analysis

(analyses with p 0.05 are given in bold)

df t p

F

NOM vs.

GEN 0.017 4835 1.94 0.090

ACC 0.026 4871 2.95 0.008

INS 0.023 4789 2.63 0.018

-eDAT/LOC 0.057 4821 7.45 < 0.001

GEN vs.

ACC 0.009 4819 0.10 0.411

INS 0.006 4879 0.63 0.596

-eDAT/LOC 0.040 4881 5.08 < 0.001

ACC vs.INS 0.003 4839 0.35 0.739

-eDAT/LOC 0.031 4818 3.98 < 0.001

INS vs. -eDAT/LOC 0.034 4789 4.39 < 0.001

M

-NOM/ACC vs.

GEN 0.039 4834 5.10 < 0.001

DAT 0.035 4846 4.54 < 0.001

INS 0.042 4779 5.51 < 0.001

LOC 0.061 4785 7.97 < 0.001

GEN vs.

DAT 0.004 4880 0.47 0.694

INS 0.003 4817 0.33 0.739

LOC 0.022 4848 2.49 0.026

DAT vs.INS 0.007 4839 0.80 0.499

LOC 0.026 4808 2.96 0.008

INS vs. LOC 0.019 4788 2.17 0.056

femininevs.masculine 0.012 105 1.49 0.200

-ojINS.Fvs.-omINS.M 0.031 449 2.77 0.014

-eDAT/LOC.Fvs.LOC.M 0.016 330 1.59 0.173

-uACC.Fvs.DAT.M 0.021 441 1.84 0.108

-eDAT/LOC.Fvs.-uDAT.M 0.010 324 0.97 0.411

-aNOM.Fvs.-NOM/ACC.M 0.012 315 1.19 0.321

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4. DiscussionTheresultsofthecurrentPDTexperimentlargelyreplicatetheLDTdata

[Vasilyeva,toappear].Asinthepriorstudy,weobservedifferencesbetweencaseformsinthepresenceofthefrequencyeffect.InlinewithFinnishPDTdata[Laineetal.,1999],Russiannominativewordformsareidentifiedearlierthanobliquecaseforms.Apart from the nominative superiority effect, oblique differences arise

inthePDT.AsintheLDT[Vasilyeva,toappear],locativewordformstriggerlongerprocessingtimethan-uforms(DAT/LOC.FandLOC.M)andinstrumen-talforms;ininstrumental,femininenounsareidentifiedearlierthanmascu-linenouns.In contrast to theLDT data, themasculine locative identification is not

hindered incomparison to the feminine locative. In [Vasilyeva, toappear],wehypothesizethatthetwo-e-s(DAT/LOC.FandLOC.M)shareagramma-tical feature representation (as suggested in some formal accounts ofRus-sianmorphology,e.g.[Wiese,2004]).Duringthelexicalaccessstage,con-textandcasefrequencyserveasconflictingcues: thefrequencycuepointstothelocative[Slioussar,Samojlova,2014],whilethecontextcue(absenceofapreposition)pointstothedative.Thecompetitionbetweenthetwocan-didates triggers longer processing time compared to other oblique word-forms.IntheLDT,thecontextcueappearstowinoverthefrequencycueandlure the participant into the erroneous analysis ofmasculine -ewordformsasdativesandasubsequentreanalysis.InthePDT,thisisnotso,thusappeal-ingtothecontextmustbelongtothedecisionmakingstageoftheLDT.Anotherdiscrepancywith theLDT results concernsgenitiveprocessing.

IntheLDT,thesewordforms,similartolocatives,yieldtheslowestrespon-ses among masculine nouns. In the PDT, the masculine genitives behavedifferently:theyareidentifiedfasterthanthelocativeanddonotentailaddi-tionalprocessingcostcomparedtoothermasculineobliques.In[Vasilyeva,toappear],weproposeananalysis for the -a endings thatmirrors theana-lysisforambiguous-e-s,namelyasharedrepresentationforfemininenom-inativeandmasculinegenitive.Yetthisanalysisfailstocapturethefindingthataccording to theerroranalysis,masculinegenitives turnout tobe rec-ognizedmore accurately thanmasculine locatives. As the PDT results re-sembletheLDTaccuracydatainthisrespectandruncountertotheLDTana-lysisofresponselatencies,thesharedrepresentationhypothesisfortwo-a-sisquestionable.Anotherexplanationistobesought.TheLDTasadecisionmaking task implies recurrence to certain strategies (e.g., [Baayen,2014]),andtheprocessingcostassociatedwithmasculinegenitivesintheLDTcouldbestrategic-based.Accordingtowordgenderstudies(e.g.,[Holmes,Segui,2004]),sublexicalcuesplayasubstantialroleinthedecision-makingprocess,

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forinstancenounshavingwordendingstypicalfortheirgenderareclassifiedaswordsfasterandmoreaccuratelythannounshavinggenderatypicalend-ings.Inthenominative,-aisastrongindicatoroffemininegender.Process-ingofmasculinegenitivewordforms,alsoending in -a,mightbehinderedduetothismismatchbetweenthegenderofthenounandthegendersuppliedbythesublexicalcue.ParalleltotheauditoryLDT[Goretal.,2017],butincontrasttothevisual

LDT [Vasilyeva, to appear], phonologically overt feminine nominativesdo not differ from phonologically zero masculine nominatives. This goesin line with Baayen et al. (2003)s idea that the PDT, despite its visualmodality,isclosertospeechrecognition.As predicted, in contrast to the LDT data, effects of the inflectional

and relative entropy are absent in the PDT (analogously to the absenceofthemorphologicalfamilysizeeffectinthePDT,asreportedin[Schreuder,Baayen,1997]),supportingourclaimthattheyoperateatlaterstagesofwordprocessing.ThePDTallowstorethinkthedataobtainedintheLDTforRussiancase

inflectednouns.

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09.11.2017

The article was received on09.11.2017

-,-...

Vasilyeva Maria D.postgraduatestudentattheDepartmentofTheoreticalandAppliedLinguisticsoftheFacultyofPhilology,LomonosovMoscowStateUniversity

E-mail:[email protected]

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.

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E. Pinelli

University ofPavia, Pavia, 27100, Italy

Presentation of the past and the future in New Year's addresses: on the data of V. Putin's speeches

In this paper I analyze how time is framed in New Year Addresses by the Russian President V.V. Putin during his three terms in office. The analysis of key words (KWIC) such as proloe past and buduee future, of past and future verb forms and of the contexts in which they occur make it possible to understand how the past and the future are conceptualized in discourse.Key words: political discourse, frame, past, future, Russian.

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1 Our basic strategy has been to treat discourse on the past as involving a serialrecontextualisationofevents.

2Thehistoryofnations,ofpeople,ofgroupsisnotagivenfactbutisconstantlydiscursivelyconstructedanew,inschoolbooks,inthemedia,bypoliticiansintheircommemorativespeechesatimportantevents,byadministrators,andbylaypeoplerelatingtheirownlife-stories.

3Futurityisneverapurelytemporalconcept;itnecessarilyincludesanelementofpredictionorsomerelatedmodalnotion.

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13.03.2018

The article was received on13.03.2018

, ,,

Pinelli Ericapost-docresearcherandlecturerattheDepartmentofHumanities,UniversityofPavia,Italy

E-mail:[email protected]

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..

, 125009 . , ; , 119991 . ,

1

, : ( , , ), (-, , , ) - ( : ?). . -, -, , . -, -, () , . , - , , , - . - : , . : , , , , , , .

116-18-02003.-.

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N.V. Serdobolskaya

Institute ofLinguistics, Russian Academy ofSciences, Moscow, 125009, Russian Federation;Moscow Pedagogical State University, Moscow, 119991, Russian Federation

Direct quotation construction with the verb dumat (think) in Russian2

Finite asyndetic complement clauses present an interesting phenomenon to the theoretical and typological works, considering that they allow a number of different interpretations: a parenthetical clause (Eto interesnyj, ya dumayu, vopros, lit. This is an interesting, I think, question), a complement clause (Ya-to, durak, dumal, segodnya vyhodnoj, lit. I, as a fool, thought there is a holiday today) or a direct speech construction (On dumal: Kto zhe na menya napal?, He was thinking: Who assaulted me then?). The paper is devoted to the direct speech construction with the verb dumat think in Russian. First, I show that the clause that conveys the matter of thought actually has all the properties of the direct speech constructions in Russian, see the list of the direct speech properties in works. Second, I argue that the direct speech construction with dumat (almost) does not show clause reduction, as it happens with the asyndetic constructions of supposition. Namely, the direct speech construction with dumat can have common nouns as subject of thought, the matrix clause can host adverbials, converbal clauses, epistemic expressions and main clause phenomena. All these properties are attested with both initial, medial and final clauses with dumat (i.e. irrespective of the linear position of the matrix clause to the dependent clause).Key words: complementation, complement clauses, clausal arguments, asyndetic subordination, citation, direct speech, main clause phenomena.

1. -

,.,[Noonan,1985]( ), ,,

2 The work is supported by the RSF grant 16-18-02003. I would like to thanktheanonymousreviewersfortheirin-depthcommentsandsuggestions.

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24.09.2017

The article was received on24.09.2017

;- - --,,.;-,

Serdobolskaya Natalia V. PhD in Philology; senior researcher at the Finno-Ugric group of Ural-Altaic Department, Institute of Linguistics of the RussianAcademyofSciences;headoftheLaboratoryforLinguisticTypologyoftheInstituteofModernlinguisticstudies,MoscowPedagogicalStateUniversity

E-mail:[email protected]

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A.A. Korenev

Lomonosov Moscow State University, Moscow, 119234, Russian Federation

Feedback in learning, teaching and educational communication

The article looks at the notion of feedback in education, psychology and linguistics. Giving a historical overview of feedback-related studies in Russia and abroad, the author focuses on the interpretation of this notion in psychology and linguistics, as well as the dual nature of its understanding in education. The article also defines the role of feedback in the assessment process, gives an extended typology of feedback and provides methodological recommendations on giving feedback.Key words: teachers feedback, academic feedback, assessment for learning, motivation, pedagogical communication.

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