Äîêóìåíò âçÿò èç êýøà ïîèñêîâîé ìàøèíû. Àäðåñ îðèãèíàëüíîãî äîêóìåíòà : http://www.philol.msu.ru/~rlc2010/abstracts/rlc2010_abstracts_sec14.pdf Äàòà èçìåíåíèÿ: Thu Oct 21 01:14:22 2010 Äàòà èíäåêñèðîâàíèÿ: Tue Oct 2 17:21:55 2012 Êîäèðîâêà:

X IV.
.
. .
smol.an@mail.ru , ,

Summary. The paper Tutchev. The analysis ent periods of his life. draw the demarcation

is devoted to the stylometric study of the changes in the style of a famous Russian poet of the 19th century, F. is based on the count of parts of speech and syllabic length of the words in his lyrics which were written at differDiscriminant analysis allowed to reveal characteristics, which differentiate various periods and to suggest where to line between the periods. . , , ( 1822 1844). 1844­1857 , , « ». -- , 1857 . , , , , , (2- ), , , . . , , .

, . [1]. XIX . . , . (, , , , , , ), . . , .


1. Juola P. Authorship attribution // Foundations and Trends in Information Retrieval. Volume 1, Issue 3 (December 2006). Hanover; MA, USA, 2006, P. 233­334.


. .
. . svandreeva@rambler.ru , ,

Summary. In speech information of different kinds (factual, metacommunicative, discursive, signalling) is rendered simultaneously, and one can find elements of these structures in one phrase. Informatively heterogeneous discourse units can be represented as a three-level hierarchy: basic -- supplementary -- informational "garbage". 1. [2]. , , . , . , , : - ( , ); - / ; ( , . .). , : , , . . «» -- ( ), . . - . «» : , «» , , , . . [1]. , , 509


XIV.

, «» («») , . 2. « , » [4]. (-) , . . , (-, ), ( ) ( , ), «-» (, ), ( , , ) . . : ( !), (, , ), (, , , ), . . , «», ( / ? «»!; / / ?). , ( / ?; / // ...). . . , , [3]. , ( ) , , .

3. « » -, (, , ( / - / ?), ( / ?). , , . , , , , , , , , , ( / ...). ( ... // ... / ? ? / / ?). « » , , , , ( / // //). 4. . : -- -- . (« »). « » , .


1. . . - // . 2004. 5. . 32­45. 2. . . : , , . . 2-, . , 2006. 3. . . . ., 2005. 4. . . «» // . , 2008. . 182­191.

*
. . , . . , . . , . . , . .
- a.s.asinovsky@gmail.com, nvbogdanova_2005@mail.ru, aryko@mail.ru, stsvet_2002@mail.ru, sherstinova@gmail.com , , , , , ,

Summary. The paper communication, which linguistically balanced based on this corpus ar

presents the Russian speech corpus which consists of two main parts: 1) the ORD corpus of Russian everyday contains recordings of all spoken episodes recorded by 40 subjects during twenty-four hours and 2) recording of speech material from different social groups. The main directions of innovational scientific research projects e discussed. , -. « » () : « » . , [3]. 320 , 40 (20 20 ) 500 . (994 ). 34 244075 Frase, 125 . : Frase ( ), Speaker (

1. . , , . (), . , .

___________________________________ * « » (09­04­12115).

510


XIV.

), Events ( ), Voice ( ), FonetCom ( ), FraseComment ( ), Notes ( ), Episode (- ). , . -- , ( ). -- , , -- [1]. , 120 ( , , , -, . .), 30 . (. [1]). ( « » ), , , , . 2. , ( ); , ; / , -

. , , : ­ (., : [2]); ­ : 1) , , ; 2) , , , . .; 3) ; ­ ; ­ ; ­ ; ­ ; ­ ; ­ ; ­ , ; ­ ; ­ - .


1. . ., . , . . , . ., . ., . . » // «'2009» (, 27­31 2009 .): . . 8 (15). ., 2009. . 38­44. 2. . - . . / . . . ; . . . . . ., 2008. 3. Asinovsky ., Bogdanova N., Rusakova . , Stepanova S., Ryko A., Sherstinova S. The ORD Speech Corpus of Russian Everyday Communication «One Speaker's Day»: Creation Principles and Annotation // LNCS / LNAI series. «xt, Speech and Dialogue» TSD-2009. Berlin; Heidelberg. 2009. P. 250­257.

« » :
. . , . . , . .
« . . -» Kamil.Galiullin@ksu.ru, Elena.Gorobets@ksu.ru, elena_gorobets@mail.ru, re_ka@mail.ru , , , -

Summary. Kazan linguistic school is one of scientific schools well-known in Russia and all over the world. Linguoinformational providing of Kazan linguistic school site is the project of great importance. The report describes materials of our site: its structure, technical details, linguistic components -- and touches upon problems of its development in different trends. () -- , . . , XXI . . . . 1963 , . . . , , , , 2004 , (http://www.kls.ksu.ru). PHP MySQL, . , , . , . « » . (kazanlinguist@mail.ru) , , , . ; , , 511


XIV.

. . . . : «», «», «», « », « » «». «» (http://www.kls.ksu.ru/persons.php) . . (. . , . . , . . , . . , . . , . . , . . , . . , . . ). , , . -, . , , . . . . ( ). ; , , . . . , . . 2006 de visu . . , . . . . . . . 1963 , , « » (1913 , 4 ) (http://www.kls.ksu.ru/boduen/ bibbod.php?id=15&num=1000000), . . . -

(http://www.kls.ksu.ru/bogor/work_bogor.php) , « », « ». . . « . », « », « », « . I. - . II. . III. », « », «, »; . . « - . . 1879­ 1880 .», II , . . (http://www.kls.ksu.ru/krush/workrush.php); « . I. . II. », « ». , 2001, 2003, 2006 ; 2009 , , . . (http://www.kls.ksu.ru/ boduen/chtenia_list.php). «» ; (http://www.kls.ksu.ru/events.php). , «», . , (http://www.kls.ksu.ru/tpl.php) .


. . , . .
. . . () gusev@math.nsc.ru, nataly@math.nsc.ru , , ,

Summary. The problems of forming, enriching and use of cue-words dictionaries for the automatic detection of the various aspects of scientific text content, and also for the identification of structures such as «text in the text», are considered. The results of real text processing are presented. . , ( , ) . , « », « », « » . . , « », « », « N.» . 70- (. [2]; [3]). . , . . . = {1, ..., i, ..., m}. , . 512 L- {i} T [1]. () - L (L-), (L = 1, 2, ..., Lmax(T), Lmax(T) -- ). () i L-, . . L- «» . , «» «» « » « », . () L-. , (, , , ...) . : \\y\z, x {, , , ...}, y {, , , ...}, z {, , , ...}. , . : ( -- , -- ), -


XIV.

( -- ), ( N. -- N.) . . ('2002, 146 , ~ 442 . ) 12 ( , , , , ...). 1000 , . ( «», «» . , ). , , , ~ 70% 60%. , , , . . , , . ., , . , , (- ), . ( ) . , . (

) . ( ) -- ( ). . 250 (, , , , , ...). «» (~ 80%) (~ 24%). : , « - , »; : -- . , . . . , , «» ( ) . , . , ( ) .


1. . ., . . L- // . . « : » (-2005), 6-10 2005 . , 2005. . 256-270. 2. . ., . ., . . . // . . 1983. . 7. . 7­164. 3. Advance in Automatic Text Summarization // Ed. by: I. Mani and M. T. Maybury. Cambridge, Massachusetts, 1999. P. 433.


. . , . .
() lingvo@voliacable.com , - , ,

Summary. The paper is devoted to the description of the lexicograph is arranged and sorted in 4 ways, in particular, by alphabetic order, by the following fields: morphology, syntax, lexis, semantics, computer system i. e. thesaurus which may function as reference system or as an - , , , , . , , , , -- . « - ()», . -- 1) , , ; 2) / / . . -

ical and encyclopedic electroni the meaning, and as thesaurus, linguistics. It was developed a integral part of any other intell

c database of linguistic terms which containing totally 3400 entries from technology of information retrieval ectual system.

, : , . (3400 ) ( ): , , . ( ) , , . - ( [1], ). , ( / ), -- ( / ), , , , , . , , -- , () , . 513


XIV.

, , . 3394 , 9265 . - . , . , . . - -- . . - -- . . -- -

-- , (., ). : ) ; ) ( ) ; ) ; ) ; ) , ; ) - . ( « »; 80 ). , , -, ; -, , ; -, , .


1. . . . ., 1979.

*
. , . .
. . , , , ,

Summary. This paper is devoted to the most productive and most frequent affixal models of Pushkin's Language Vocabulary. Analysis done contributes to a total research on author's language and, which is more important, to the whole system of Russian word-formation regularities. , ( -- ). 19349 . ( -- -, - . -- 1578 ). , () Excel-2007, . / 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 . R-F R-S-F Pr-R-S-S R-S-S-F R-S-S Pr-R-S-S-PF Pr-R-S-F Pr-R-S-S-F Pr-R-S Pr-R-F R-S-S-PF Pr-R-S-S-S R-S R R-S-S-S-F , c , . , . . . , , . « » (. . ):

(- . ) 3290 3125 2851 1435 1112 1006 973 859 550 507 353 348 327 281 276

___________________________________ * -- , 08­07­00435­ « - ,, " (1 )».

514


XIV.

, , . RRRR RRRRRR0 a - -0 -0 - -0 19 6 2 2 1 1 2 6 4 3 4 2 8 7 7 6 5 6 2 4 0 7 1 6 0 3

. :
( )



(34), (64) (15), (58) (20), (15) (1475), (3862) (125), (31) (37), (288) (23), (2) (11), (3) (13), (2) (7 2 ), (1 ) . :
( )

,




R-- R-- R--- R-- R--- -R-- -R-- -R-- -R--

2 2 1 1 1

8 6 7 0 0 8 6 5 3

7 7 1 6 5 6 4 8 4

(24), (201) (15), (178) (12), (30) (16), (4) (2), (12). (89), (12) (9), (40) (22), (4) (8), (5) , . , , R-- R---. :
( )

. , -- . R-- R-- R- R- - 0 R--- R--0 -R-- R-- R---- 36 31 11 11 6 4 3 2 2 8 0 7 3 9 4 3 8 6



(103), (11) (21), (25) (698), (12) (3), (3) (2), (2) (4), (21) (11), (10) (34), (34) (3), (26) . , : R-F (1­1), R-S-F (2­3), Pr-R-S-S (3­4), R-S-S (5­6), R-S-S-F (7­4), R-S-S-PF (11­12), R-S-S-S-F (15­15) . . , , R. , -- (!!!) (14). .

, , R-s-f, (, ). . , , (, R-- -R--). , , . , , / 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 R-F R R-S-F Pr-R-S-S R-S R-S-S R-S-S-F Pr-R-S Pr-R-S-F Pr-R-S-S-F Pr-R-F Pr-R-S-S-PF R-S-S-PF Pr-R-S-S-S R-S-S-S-F

126169 92329 48768 31889 27959 26700 17765 13927 10981 9559 8833 7952 7153 3770 2700 515


XIV.

, -80 ( «»), , , , «» , . , -- , . , , , , , , , -

-80. , , . , , , , . , , , . . . , .

- -
. .
() proscien@mslu.by , , , ,

Summary. In the report the author presents two groups of language parallel texts, that are created in Minsk state Linguistic University. The first group includes Russian-Belorussian texts of different styles. Russian-Belorussian educational texts belong to the second group. The author describes the common method that can be applied to tag multilingual parallel text and explains how the tagged texts can be used for scientific and educational purposes. . - . 2006 « » . « ». 1 . - , 300000 . , , ( , , , .), . , (). , (, ), . CES (Corpus Encoding Standard), MULTEX 135 EAGLES (Expert Advisory Group on Language Engineering Standard) Vassar Cillege CNRS (CENTRE National de la RecherchÈ Scientifique). . , , , . . - . , , , , , , . -- , , , , , , , , . . CES, . . 516 . . , . , - . - 2009 «- ». CES. 12 : « », « », « », «», « », « », « » . , , . , : 1. . 2. . 3. . 4. . 5. . 6. . 7. , - - , , , . 8. , .


XIV.

, : 1. . 2. - - .

3. . 4. . 5. . 6. . 7. , .


. . , . .
. . ilyushina@newmail.ru , ,

Summary. The paper offers a model of Russian text syntax as a sequence of parts of speech and syntactic relations. The structure of variety of Markovian chain states is analyzed and stationarity of the final distribution is established. Cognitive Dwarf, , , (), (). , . , , , . , . , , , ( ) . , , , . , ( ). , . , . . , , , Dwarf . 324 â 324 , . , . (- ) . . , , (, , , , ).


1. . ., . . . ., 2005. 2. Dagan I., Markus S., Markovitch S. Contextual word similarity and estimation from sparse data // Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics (ACL). Colombus, Ohio, 1993. P. 164­171. 3. http://cs.isa.ru:10000/dwarf/doc.htm. 4. www.statsoft.ru.

-
. .
nomad5@mail.ru -, , , ,

Summary. The report is devoted to research of the thematic organisation of Russian self-histories in Internet. Reserch is based on words` rank distributions of the Zypf`s law. The material is normal and pathological self-historic texts of Russian Inernet-diaries. 1. , -. «» . . , , [4: 58]. - -- . 2. -, . -- . ( ) « , » [6: 10]. , . . 3. , (F) (n), « -- ,," » [1: 9]. . (10 ) Zn. , Zn F(xn1) + F(xn2)... + F(xn), x -- n. 517


XIV.

, F(xn), 1 . () -. - . 3.1. Zn , 0.93 Â 1.45% [3: 81], - Zn 4.5 Â 27.4%. : , . 1\20.6 Zn = 4.5%; 1\1.07 Zn = 27.4%. Zn - : , , . . . , , , Zn 15% -- Zn [3: 81]. 3.2. - . N=103 N = 104 [1: 15], - N=101 N=102 , . 3.3. Zn, : « » [3: 82]. Zn = 31.1% , Zn - (27.4%).

Zn = 14.8% , - « » [5: 59] -- [2: 327]. 4. , - : , . - . - Zn, , -- .


1. . ., . ., . . . . 2. 1 . . 9 ­ 2 0 . 2. . . ( ). ., 2004. 3. . ., . ., . . . ., 2009. 4. . . // . 1996. 1. 5. . ., . ., . ., . . . ., 1997. 6. Rosenthal G. The Narrated Life Story: On the Interrelation Between Experience, Memory and Narration // Narrative, Memory & Knowledge: Representations, Aesthetics, Contexts. Huddersfield, 2006 // http://www2.hud.ac.uk/hhs/nme/books/2006/Chapter_1_-_Gabriele_ Rosenthal.pdf.

- Ru ssLan
. . , . .
() zmshal@yandex.ru , - ,

Summary. Means of semantico-syntactic processing in the RussLan system of Russian generation. The object of consideration is the formalism of R-attributes developed within the RussLan system of Russian generation for representing structural relations and processing linguistic rules associated with them, as attributes of the corresponding linguistic entities. It can be used for specifying the markers of syntactic arguments by the predicate valency frames, computing such frames for occasional lexemes, verifying word-form definitions, modifying them in case of conflicts, performing local syntactic transformations, etc. RussLan [2]; [3] - , - , . : , . Turbo Pascal. , . , ( ), . - (-) RussLan , ( -- 518 ) -- - (-) . - , . , - - . c , - . - , . - , , . -


XIV.

- , - (-) , , , ( ) -. - , . - RussLan . R- [1]. , . , , -, , -- - . RussLan : ­ , : · ; · ; · - ; · ; ­ , , : · «» «»; · «» «»; · «» ; · -; · ; · , , «» ;

­ , , ; ­ ; ­ ; ­ . . - . R- , - . , , , , . , , , , (, , , . .). - .


1. . ., . . R- ( RussLan) // . « 2006». ., 2006. . 207­213. 2. . ., . ., . . . - // : . . ., 2 0 0 1 . . 4 2 7 ­ 4 2 8 . 3. Shalyapina Z. M., Kanovich M. I., et al. RUSSLAN: A System of Russian Language Generation // Investigations into Formal Slavic Linguistics. Contributions of FDSL IV. Part I. Frankfurt am Main et al., 2003. P. 385­403.

-
. . , . .
. . kedr@philol.msu.ru, potemkin@philol.msu.ru , , , ,

Summary. Homophone disambiguation using lexical and syntactic information is presented. An isolated part of the Russian sentence is coded as a sequence of transcription symbols. Analysis of the sequence with the use of a special lexicon provides an oriented net of possible words of the sentence. Word instances are disambiguated using concordance and syntactic information. , , , . . [3]. : ) , ; ) , . , [4]. , , . , , , [2]. , , . [6], ( j, l, t, h), . , j, j, j, ... ( #), ( \). . . . [1] . , . <-> : . : a) i ; b) , . , -- . c) -- . a) -- b) -- , i + 1. , ( ) , . ; . 519


XIV.

. 1. (). ().

, , , - , , , . , O (m5), m -- , . . , : <­> : <-> . 1­2 . , , . , , ( ). . [5], . . (), , , , , , . ~

74.6% ( ). ( ) , .


1. . . . ., 2008. 2. . ., . ., . . // : . . . ., 2001. . 408­409. 3. . . . ., 1989; 2- ., . . ., 2005. 4. . . // . 2008. 1. . 5­17. 5. . . // . « 2009». ., 2009. . 409­414. 6. . ., . . . , // . 2005. 4. . . 679­690. 7. Gao J., Suzuki H. Unsupervised learning of dependency structure for language modeling // Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (7­12 July 2003). Sapporo, 2003. P. 521­528.

« »
. . , . . , . . , . .
askravtsova@gmail.com, pvv@inet.tsu.ru, oshevelyov@gmail.com, zyabloko@gmail.com

. . , . .
. . kukush@orc.ru, anatpoli@mail.ru , , , ,

Summary. The thesis outlines a desktop text analysis tool developed by two universities. It specifies methods implemented, possibilities of the current version of the tool, and briefly describes its shortcomings. Finally, main features of a new web-generation of the tool that is being developed are presented. . , , , Word, . -- -- . , . . 520 2004 () «». 2005 . . () . 2006­2008 . (06­07­89320). (MDI) . : 1) , 2) , 3) .


XIV.

, . , , DicTUM-1 [1], (, ), (, ) . , (, , ) (, ). , (, , , ) . 2007 «» -- , , . «» . : 1) , 2) , 3) . , , . , , , , ( , , ), ( , ). , . (k-, leaveone-out) (, , F-). . CS-, RS- or TS . «» . (06­07­89320). . , ( , -- , , . .). , «» -

, . « » , , , . - , , ( , , , , , , . ., ) , . . . «», , ( , ). ( Windows) , . . , . , 2009 «». -- -, . , . Java, MySQL , Spring, Google Web Toolkit. . - , . , . - , . . .


1. Kukushkina O. V., Polikarpov A. A. DicTUM-1, system for dictionary-text universal manipulations and analysis // http://www.philol.msu. ru/ ~lex/articles/dictum.htm.


. .
« » serg@lsw.ru , , , , , , , , ,

Summary. Quantitative analysis of the text involves the calculation of a number of some quantitative characteristics of the body text. During the report expected to show the results of quantitative analysis of lexicographical material. . (, , , , , , , , , , , , ...) : . : 1) ( , . : , .) (, , , , , , , , ); 2) , , ( . ) ; 3) ; 4) ; 5) . . . , , ( ), . 521


XIV.

, [1]: N -- -- (, = , ) . L -- , . Lf1 -- , . Lfk -- , . r -- . : ) ( ) -- 1 r ( ); ) (., ); ) ( ). Lr1 -- . Fi -- . F*i -- = . fi -- = N. f*i -- = N. Hi -- = ­fi log fi . H*k -- , . C -- (, , ) C = (fr12+ L2)^1 / 2 . Ii -- ( ) Ii = N / L. Ie -- () Ie = 20*Lf1 / N P -- ( P , ) P = 100 ­ (Lf1*100) / N . Iq -- . N. ( , Iq, , Iq ) n -- . m -- , . K i = Fi * m / (N * n) -- .

I

-- . , . If -- . . If , , ( , , ). If , . , , . : Fi = (1 / 10)* N *(1 / r). : Fi =p* N *(r**(-b)). -: Fi =p* N *(r+v)**(-b). ** -- ; p, v, b -- : p -- , v -- , b -- , N -- , r -- . , : - , ( ) 1 ( ) N, () , .
ext


1. . . - . -, 1978. 2. . . , 1985; 1986. . 745; 1 9 8 9 . . 8 7 2 . 3. . . . ., 1974. 4. . ., . . . ., 2004. 5. . . . , 2001. 6. . . // . 1954. 1. . 55­68. 7. . ., . ., . . . ., 1977.

« »
. . , . .
. . anatpoli@mail.ru

« » () [3]; [4]. ( , , , . .), , [2], -- . . . , [7]; [1]; [3: 183­194]; [5] , . [6], 522

. , . « ». ( 1- 8-: 1­8), 6- (6­1: 1­29 .; 6­2: 30­65 .), 6- ( 1929 . 1932 .). , 6- 1932 . . . . : « » (1- . -- 1; 2- . -- 2) « » (). . 1.


XIV.
0,70 0,65 0,60 0,55 0,50 0,45 0,40 0,35 0,30 0,25 0,20 0,15 0,10 0,05 0,00 TD1 TD2 TD3 TD4 TD5 T6-1 T6-2 PC1 TD7 TD8 OSR PC2

: 10­15% . . 2.
1,0 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0,1 0,0 TD1 TD2 T D3 T D4 T D5 T6-1 T6-2 PC1 T D7 T D8 OSR PC2

. 1. .

. (35­38%). , 1928 1932 . , : «» -- 44%; « » -- 32%; -- 27%; « » -- 41%; « » -- 32%; « » -- 38%. , ( ) . . , -- 35% . 40%. , , , , . , , , ( 45%). (50­55%) 1- « » (1932 .) -- « », . 2- (1960 .) « ». 2000 . . [2: 30­34], , 6- , . «» , , «,," »- -

. 2. ( « » 200 -- ), ( 200 350 -- ) «» () , « »/

, « » : . 6- , « », « », « » «» , 32­35% 45­50% ( ). , ( -- ) « », . . -- « » « ».


1. . . (), . . « » // « ». 1991. . . 6 8 ­ 8 1 . 2. . . « »: . --, 2000. 3. « ». . 1974­1994. , 1996. 4. . ., . . -. « »: . ., 2001. 5. . ., . ., . ., . ., . . « » // . ., 2001. 6. . ., . . . . « »? // . . 2. ., 1995. 7. ., ., ., . « »? ., 1989.

« » . .
. . , . .
. . anatpoli@mail.ru

. . , . .
pvv@inet.tsu.ru, oshevelyov@gmail.com

XX , , , , [1]; [3]; [5]. 55 . . .

« », . . , , « ». « » . . «», 523


XIV.

: « », , , 6- -- . 1­29 . 30­65 (-1 -- -5, -6­1,6­2, -7,-8). 1­ 2­ « » (1, 2), « » () . « » (). « », , , . (, , ) . . . . [4]. . 1. « », . . 2 , 1, 2 .

. 1 .

, . . . (, ) , « » . . (2 ). 1 (-7 -8). , 1932 1940 . , . . : , , , . , 1928­1932 . 30- : -- -7 (1937 .) -8 (1940 .) , , 1- . (1932 .). . (2- . , ) . . , , 6- , , , [2]. , . (2- . ) , 1- . . , , , 1­ . , , (7- 8-).


1. . ., . ., . ., . . // : . . . , , 20­23 2007 . ., 2 0 0 7 . . 3 9 1 ­ 3 9 2 . 2. . . . . -. « »: . ., 2 0 0 1 . 3. . ., . . // . , 2004. . 1. . 101­110. 4. . ., . . . . « »? // . . 2. . 1995. 5. Polikarpov A., Kukuskina O., Poddubnyj V., Shevelyov O. Optimization of feature space in tasks of classification and clustering of texts of various types / Abstracts from Qualico-2009. Graz, 2009.

. 2 .

: , : , -- 4- 5- , -- 6- . , 7- 8- . -


. . , . .
- g.martynenko@gmail.com, sherstinova@gmail.com , , , , , ,

Summary. The paper concerns dependence of quantitative text parameters on linear text structure. Russian short stories of the beginning of the XXth century are investigated. For each short story a dynamic contour of sentence length is built. Common types of dynamic contours are determined for the given text corpus. The most typical contours for Russian short stories of the Silver Age are presented. 1. . 524 -- . -


XIV.

? , , , . , , . . . , (, ). 2. () (). , . , , -- . , . , . . , « », . . , , . . , . , , , - : , , . . 3. , , , , , , . XX -- . , . , . , . , . , . , . , . , . . ; 50 . : 1 22

1. , , . 2. , . 3. 10 . 4. , , -- . 5. . 6. , , , . . . «» .

. . «»

, , «» , - , . XX . , , . 4 5

2

8

5

4

3

7

6

4

, , 1 -- , «». «» . 4. -

, . 5. , , , . 525


XIV.

-
. .
. . marchuk43@migtel.ru - ; ;

Summary. Three problems of scientific & technical translation into Russian are specified : new meanings of common vocabulary words, polysemy of terms and necessity of more exact stylistic qualification of texts to be translated in the new communication situation of today. , - , , - , . . . : , [6]. , - , , , , . , , , , - , . , . . [1]. , , [5]. (,. , [3], - [2]. - : , , - . , . - , . . , . (, ) . , , , : . , . . . . , , , , , . , , -, , , . , - - , - , . . , pattern - : , , , , , , . , . - . -- - . [4]. , , , «» . - .


1. . . . ., 2007. 2. . . - . ., 2005. 3. - . . . ., 2008. 4. . . . ., 2007. 5. : : . / . . . . ., 2009. 6. . . . . . ., 2003.


. .
- () onevzoro@gmail.com () , ,

Summary. The paper discusses the main problems of the method of functional homonymy disambiguation on the basis of contextual rules in Russian. The state-of the-art of lexicographical resources and complicated cases of functional homonymy disambiguation are among the topics debated. 1. () . , , ; , ; . « », 526 . , . , 500­2000 , . , . , -


XIV.

. , , [1]. [3] , , . , 97,26% 96,87%. , 3­5% , . , , . . , , , , ; . [2] : 1) : ­ ; ­ . 2) : ­ . . ­ , . 2. , , . . 220 ( . . [1] -- 57 ) . . -

, . , . , , . ; , . . . . . . ( ) - . - , , , N* / A*. - . , . , , . . .


1. . ., . . // . '2002. ., 2002. . 258­268. 2. . ., . , . . : // . . '2006. ., 2006. . 399­402. 3. . ., . . ( ) // --2005. http:// company.yandex.ru/grant/list.xml.


. . , . .
pvv@inet.tsu.ru, askravtsova@gmail.com , , , , ,

Summary. The using of discriminant statistical analysis to decision of the problem of the comparison of the styles of the text products on the base of features frequencies is considered. It is offered the procedure of normalization of frequencies by way of the transition from relative frequencies to its ranks with the following nonlinear transformation of ones into gaussian values. On example of the analysis of texts of russian novels of 19­th century the discrimination of the author's styles on the frequencies of the using of 55 syntactic words is organized. 1. . . XIX 55 . 2. [2] , , . , ( , , . .). 3. () ( ) . ( ) (), 527


XIV.

( ). ( ) . . 4. p = {pij} -- nâm- j- i- ( i =1, n , j =1, m , n -- , m -- ). {pij} ( 1- n-) j- , r = {rij} ( ). , , . n + 1, [1 / (n + 1), n / (n + 1)]. {rij / (n + 1)}. . . ( -- ) x = {xij} j- , ( ) . 5. g . ( k- ), y = xV ( ), () . V ,

l = (VBV)ll / (VWV)ll, l = 1, 2, ..., q, q = min(m, q ­ 1). -- , B = T ­ W, T -- mâm- - x, W -- mâm- - x. [1]; [2], m-- {Vl} V -- , B W BVl = lWVl, {l > 0} -- q ( ) , det(B ­ W) = 0. y = {yil} q ( ), () . V = {Vjl} . l- () «» j- . (, ) , . l- 2­ l = (m ­ l)(g ­ l ­ 1) , , - [2]. 6. 81 (, ) 12 XIX 55 . . 1 .

. 1. XIX 55 .


1. . ., . / . . ., 1976.

2. .-., . ., . . . , / . . . ; . . ., 1989.


. .
pvv@inet.tsu.ru

. .
. . anatolp@philol.msu.ru , , , ,

Summary. The dissipative nonstationary dynamic mathematical model of the life cycle of the language sign is offered. This cycle is based on the interaction of the processes of the sign polysemy growing and of the losing of the earlier gained sign meanings. It is shown that this model satisfies to the variational principle of the least action. The model is presented in continuous and discrete variants. The stochastic expansion of the discrete variant of the model is built. The numerical modeling of the process of the language sign polysemy is made. 1. 528 : , , ,


XIV.

, , . . , , , . . . - () [3]. 2. , , . . , . . . , , , . : , . , , . , , , , , , [2]; [4]. , , [2], -- [4]. , ( ) , , () , . , , , . , , , , , , . , ( ) ( ), ( ). 3. , , ( ), [1]; [5], . , , : -

, , . -- , « » « » [1]; [5]. , « » , « » -- - . . 4. - , , . . -- , . . , ( ), . . 5. , , , . . , . , . 6. .


1. . . . ., 1980. 2. . ., . . . .; , 2007. 3. . . - // . . . 1: . . 1. , 2007. . 35­59. 4. . . : , , // . . 14. 3. ., 2008. . 3­23. 5. . . . ., 1965.


. .
. . potemkin@philol.msu.ru

Summary. Techniques for determining the point of event in a fiction text is proposed. Formal detection of events in the discourse is based on text only without its perception by a reader. Our hypothesis is as follows: descriptions of states are differed by numerous pairs of antonyms of adjectives or adverbs. This paper involves examination of this hypothesis and the results obtained. . , , . . « ». , , , , . - . 529


XIV.

: -- -- () . : -- -- . : ; ; ; ; . , , . , . , - -- , -- , -- . , -- ( , ). , ( ), , , , , . () . , (, ) ,

, . 10000 . , , . . «» . , , : , *, , , , , *, *, , *, , , , , . (* , , ). . : , , . Y, , X. (. 1).

. 1. . . «».

, , . 4 , 4 : 1 -- ( 37 94) -- , 2 -- (100 154) -- , 3 -- (163­203) -- , , 4 -- (232­272) -- , . . . , «» 4 -

, 5 : 1 -- ; 2 -- ; 3 -- ; 4 -- ; 5 -- . , . , , -- . , .

. . :
. . , . .
() svetlavir@mail.ru . . , , ,

Summary. The paper is dedicated to the description of synonymic raws of A. Pushkin language. Matrix to study quantitative distribution of synonyms according to their belonging to the parts of speech, stylistic indication, raw structure is represented. Indices obtained are compared with the ones, belonging to common language. This allows to make certain conclusions about qualitative originality of A. Pushkin language stylistic organization. , 530 , ,


XIV.

, . , . . , . , . . , . . , . . , . . . « » . . . (., 1975) , , . , ». . , . , , . , . . - , . , « » (., 1974), (56332 , 46,35% -- 125 . ); -- -- (37319 , 30,71%), (24786 , 20,44%), (1916 , 1,58%). « » . . . . -- 21000 ; -- 8705 ( 42%), -- 6044 (29%), -- 4455 (21%), -- 1611 (7,75%). . .

. -- 7301 ; -- 2833 (38,80%), -- 2439 (33,41%), -- 1523 (20,86%), -- 506 (6,93%). . (1700 , 23,28% ). (1524 , 20,87%) (1108 , 15,18%). : 730 (9,99%), -- 492 (6,74%), -- 399 (5,47%), -- 288 (3,94%), -- 225 (3,08%), -- 150 (2,05%), -- 685 (9,38%). « » . . : , « » -- . : -, -, -, -, -, -, -, , « » : -, -, -, -, -, -, -, -, . -- 3,6. , , , « » . . . . « » . . . (. . 1).

1. . 2 1257 / 638 1166 / 632 508 / 320 110 / 110 3041 / 1700 3 1594 / 633 1862 / 546 1104 / 261 265 / 84 4825 / 1524 4 1042 / 400 1775 / 416 837 / 184 264 / 108 3918 / 1108 5 6 7 8 720 / 538 / 332 / 198 / 240 192 105 104 1360 / 720 / 442 / 274 / 195 132 175 96 707 / 392 / 217 / 262 / 220 132 84 72 244 / 104 / 135 / 138 / 75 36 35 16 3031 / 1754 / 1126 / 872 / 730 492 399 288 9 124 / 72 263 / 90 148 / 54 87 / 9 622 / 225 10 80 / 90 267 / 30 128 / 30 80 / 555 / 150 . 158 / 359 576 / 127 152 / 166 184 / 33 1070 / 685

: -- « » . . . ; -- . -

, -- . .

: *
. . , . . , . . , . .
- stsvet_2002@mail.ru , a.s.asinovsky@gmail.com, aryko@mail.ru, sherstinova@gmail.com , , , ,

Summary. The paper presents the analysis of distribution and realization of Russian inflexions in spontaneous speech. , . . . . , .

___________________________________ * « » (09­04­12115).

531


XIV.

, , 5 « » [2] : , , , , , (, . .). , . . . , « -- , -- , . , , -- , , . , . , , ?» [1: 265]. , , ( www.praat.org). . Morphems-gram ( ) Morphems-orth ( ). , , . , {a} -- 20% . {a} -- . . . . 2- -- 40% (, ). -- 30% (. , . .: , ), -- . . . . 1- -- 15% (). 9 {a} 15% . {a} (20 ). {a} -

[a] (26%) [´] (19%). 17% {a} [A] []. , « , . .», [Q] . {}, . /l/. , . , . . : « , /j/, , . , » [1: 266]. , , . 46 {} / {} /j/ . {}. (. ., . , . .). , . , 30% {} [oj]. , ( , ), , , , . 99 28 . , , . , , -- -- , , , , , .


1. . . . ., 1998. 2. Asinovsky ., Bogdanova N., Rusakova ., Stepanova S., Ryko A., Sherstinova S. The ORD Speech Corpus of Russian Everyday Communication «One Speaker's Day»: Creation Principles and Annotation // LNCS / LNAI series. «xt, Speech and Dialogue». TSD-2009. Berlin; Heidelberg., 2009. P. 250­257.


. .
() Natalia.cheilytko@gmail.com , , - , -

Summary. The report focuses on the problem of constructing the lexical-thematic model of the text with the assistance of knowledge about the peculiarities of the distribution of syntactic relations of word-forms in the text. - . . () , . 532 , -- . -- , . . 1 ( , ,


XIV.

). , , .

. 1. .

, , (, . 1 2, -- 3). , ( . 1 , 4). , , «» . . , , , , . , . . , , [2], . . , [1]. , , ,

- , . : 1) ; 2) ; 3) , ; 4) ; 5) , ; 6) ( - -- ); 7) , , ; 8) - . - - . - (. . , , ), Ñ , , . - . , . , . 1 ; ; - ( ), . . [3]. , - , .


1. . . ' // . . 17. , 1990. . 1 5 ­ 2 0 . 2. . . // Recueil linguistique de Bratislava. Vol. VIII. Bratislava, 1985. P. 146­150. 3. Darchuk N. Text-oriented thesaurus retrieval system for Linguistics // Slovko-2009. Materials of Fifth International Conference "NLP, Corpus Linguistics, Corpus Based Grammar Research". Smolenice; Bratislava, Slovakia, 2009.


. .
- iagounova_elena@mail.ru, iagounova.elena@gmail.com , , ,

Summary. Investigation of key word detection is actually important for both automatic text analysis and discourse analysis. We propose complex investigation method and discuss its applicability for different types of text. 1. , , . : , . . , -- . . , . , . , , [2]. (, ) [3]. . 533


XIV.

2. ( « ») . 10 (). , (, . . . . ). ( ) : , , ( . [2]). -- -- , . ( ) , , . , . , ., , , , « » ( , TFiDF) . . 3. : ­ , ­ ( ): ­ , ­ -- / , ­ vs. vs. (. TFiDF, ). : , , . , « -

. ... , -- ( 1 , - ). , » [1]. , ­ , , , ­ . , , . . , . . . ( , ). , , ( , , . .).


1. . . // : 21­26 2009, . , 2009 (http://ling.infostream.ua/jag/). 2. . . ( ). , 2008. 3. . . // : 21­26 2009, . , 2009.

534