x y 1 (Frame Semantics: FS) [1, 2, 3, 4] ( ) ((semantic) frames) FS Berkely FrameNet (BFN) [5, 6] (Japanese FrameNet: JFN) [7, 8] [9, 10] BFN BFN/JFN
|
|
- みひな すえたけ
- 4 years ago
- Views:
Transcription
1 x y 1 (Frame Semantics: FS) [1, 2, 3, 4] () ((semantic) frames) FS Berkely FrameNet (BFN) [5, 6] (Japanese FrameNet: JFN) [7, 8] [9, 10] BFN BFN/JFN BFN/JFN () / (Multi-layered Semantic Frame Analysis (of Language): MSFA(L)) 1) ( ) C BFN MSFA C BFN/JFN (1) S S C BFN 1) MSFA () (Semantic) Frame Analysis (of Language): (S)FA(L) () () (2) C (BFN ) MSFA [11] [12, 13, 14, 15] (3) BFN/JFN ( x y BFN ) (4) BFN/JFN SFAL SFAL BFN/JFN BFN/JFN SFAL MSFA ( x y ) : (5) :
2 (6) : ( ) (7) : σ = :, :, :, :, :,..., :, ( ) σ (semantic role) (8) : σ (situation) ( ) () (9) : () (8) s = w 1 w 2 w n (e.g., x y ) w w i Σ = { σ 1, σ 2,... } M(s) (accommodate) s σ i (attraction effect) () (M)SFA : (10) : : / MSFA : (11) a. b. c. d : 1: 2: (UG ) : 1: () 2: : (12) :
3 - - (scope effect) [16, 17] :? MSFA / {,, }, {,,, }, ( ) θ (= ) : () MSFA
4 3 MSFA 3.1 : (13) (e.g., ) E 1, E 2 E 1, E 2 (14a, b, c) x y 1, 2, 3 (14) a. [F03: ] b. [F06: ( ] c. [F10: ] F03, F06, F10 5 A (14a, b) MSFA 1, 2, 3 ( F m F m * [9, 10] ) 3.2 1, 2, 3 : (15) (e.g., ) S 1, S 2 (16) (17) ( ) (evokers) (18) (e.g., ) S 1, S 2 S 1, S 2 (e.g., ) (e.g., ) MSFA (14a, b) () MSFA 3.2.3
5 ! " # $ % & ' ( )!*!!!"!#!$!%!&!'!(!) "* "! "" +, -. / : ; < = 0>3. 0! 0" 0# 0$ 0% 0& 0' 0( 0) 0!* 0!! 0!" 0!# 0!$ 0!% 0!& 0!' 3?@AB CDE FG HIJK LM NOPQ RS TUPV WXY!Z WXY"Z! op FGqr " s 19t uvqr # s wx 19t $ y 7+<5/< WX[ % s LMzD 19t & Ç FG[ HIJK [ ' Ü 7+<5/< \] ^_`a Y!Z ef Y{ }~A? ~ ÄÅZ LM[ NOPQ RS[ PV[ WX[ WX[ ÉÑ[ ^_`a [ NObc d^ ^_`a NOd^ Y"Z Ö Y{ }~A?~ ( s áà[! d^[ ^_`a ) s!* s árs[! árs[ " áà[" bcd^ [ äãå! ÄÅZ â ef ghy!z ghy"z ijkl mn ef[! gh[ ef[" ágh[! áà[è äãå äãå" ef[# ágh[!! s 19t qr!" s 19t ghwx!# s 19t " gh[ çé[ ágh[ ãêëí [!$ s ãê ìîu ghwx 19t!% NO NO áà[ áà[ ìîu NObc d^bc ãêïñ!& ó 7+<5/<!' s áàò áàôö efò efò ef efõ!( s qr 19t!) ûü wx 19t qr 19t "* / X úù/t9 ÉÑ! 1 (14a) +, -. / : ; < = >! 0?@ABC3. 0! 0" 0# 0$ 0% 0& 0' 0( 0) 0!* 0!! 0!" 0!# 0!$ 0!% 0!& 0!' 0!( LM STUV XYZ[ _` cd ex fg hi jk lmn^ op qrs tk rs rs 3DEBF =BGABDHI JK NOPDQB?? W NOPDQB?? \]^ NOPDQB? ab NOPDQB?? NOPDQB?? NOPDQB??B NOPDQB??B NOPDQB?? NOPDQB?? NOPDQB?? NOPDQB??B NOPDQB? N!RNOPDQ N"RNOPDQ NOPDQB??B BER BER?BER BER BER ER ER BER BER BER ER?BER B??BER B??BER " ER JKw LMw! uv ST { # xy/z9 xy/z9 $ " } 19z % # } 19z & $ } 19z ~ ~ ' % } ÄÅ 19z ( & U 7+<5/< ' ÇÉÑÖ JKÜ LMá SÜ XYZ[ àâ abá cdä exá fgá hiá opá àâ { rsá ) á!* ( ä 7+<5/<!! ) } ãàå tká rsá!* ÉÖçÇ éèá _`á ê ëy ëyu!" íì!#!! U 7+<5/<!$!" } ~ 19z ëyu!# îï 19z ÄÅ ñóy/z9!% lm òô!$ } XY ëy fgå jkö n^ö õpá qrsá!& áy/z9!' } 19z!(!% ú 7+<5/< ï!& ùû 19z ÄÅ ~ jü!) m "*!' } ÄÅ 19z ÄÅ tï!( } ~ 19z ~ "! ß ""!) } 19z Ælm "# "* } 19z "$ "! 2 (14b) ( ) (collocations) () (construction (effect)s) [18] (Generative Lexicon Theory: GLT) [21, 22] ( ) PDP [19, 20] (Parallel Distributed Semantics: PDS) MSFA GLT MSFA GLT GLT (qualia structure) 3.3 w w 5
6 ! " # $ % & ' ( )!*!!!"!#!$!%!&!' +, -. / ! 0" 0# 0$ 0% 0& 0' 0( 0) 0!* 0!! 0!" 0!# 3:;<= >?@ AB CDE:F<GG IJKL CDE:F<GG KL CDE:F<GG IJ CDE:F<GG MN OP IQ CDE:F<GG RSTU VWXB Y CDE:;EG< Z[H B\X] ^ CDE:F<GG _` ab cd! ef gh ghi ghi ghi " X 7+j5/j # k 19l $ mn ABo KL op/l9 KLo MNo qr sb tuv % w 7+j5/j & k ABx yz yz yz Otuo { ' k }z }z }z ( k ~z I zp/l9 Izp /l9 ) k ƒ`!* OPx BYxˆ ]^xˆ x ˆp/l9 ab\!! k 19l!" XŠ Œ ON OP IQ BY ]^B\!# Ž 7+j5/j!$ 19l /l9!% _ ab p/l9 s p/l9 3 (14c) : (19) (sense enumerative approach)? HFN [13, 14, 15] x y w (e.g., ) (word senses) w S(..., w,...) (e.g.,,, ) S σ Σ = {σ 1, σ 2,... } S (= w 1 w 1 w n ) W = { w 1, w 1,..., w n } : (20) S S (W ) M(S) = Φ(M(w 1 ),..., M(w n )) Σ σ i S(...,w,...) ( ) w M(S) M(S) ( attraction to comprehensible situation effect) : (21) : w i ( ) S(..., w i,...) w i M(S) (e.g., (semantic wellformedness)) M(S) GLT GLT
7 (23) GLT (closure) ( ) GLT (principle of compositionality) (22) (22) a. M(S) S { w 1, w 2,... } { M(w 1 ), M(w 2 ),... } b. M(S) { M(w 1 ), M(w 2 ),... } S (23) (23a) (23b) : (23) a. : S W { M(w 1 ), M(w 2 ),... } W S M(S) W b. : S W { M(w 1 ), M(w 2 ),... } M(S) W (23a) (23b) (23a) (23b) (23a) w i Langacker [23, 24] S(..., w i,...) w i (semantic underspecification) S(...,w,...) w S M(S) Σ Σ Σ 3.4
8 F1: <> F2: <> F6: <> F3: <> F4: < > F19: <> F17: <> F5: <> F10: <> F16: <> F18: <> M M R F F7: <> F9: <> F15: <> F14: <> A A IS-A B : A B A B B F8: <> F11: <> F12: <> F13: < > A IS-A B : A B B 4 (14b) [25, 23] MSFA (14b) 4 (14b) (14b) F01:, F03:, F05: ( F03 ) : (24) (un(der)specified features) (25) ( 1, 2, 3 ) : (26) θ
9 4 F10, F12, F14, F15 F14 SOURCE-PATH-GOAL F10 CONTAINER (14b) 4 F1:, F5:, F7: 4 (MSFA) (derivation) (deep structures) A x y [11, 13] 5 x y 15 (27) 15 ( [14, 15] ) 2) (27) F01: ; F02: ; F03: ( ) ; F04: ; F05: ; F06: (); F07: ( ); F08: ; F09: ( ) ; F10: () ; F11: ; F12: 2) 18 ; F13: ( ); F14: (); F15: () {,,... } [+human, grouped] {,,... } [+human, grouped] F09, F10 [1] C. J. Fillmore. Frames and the semantics of understanding. Quaderni di Semantica, Vol. 6, No. 2, pp , [2] C. J. Fillmore and B. T. S. Atkins. Towards a framebased lexicon: The semantics of RISK and its neighbors. In A. Lehrer and Eva F. Kittay, editors, Frames, Fields and Contrasts: New Essays in Semantic and Lexical Organization, pp Lawrence Earlbaum Associates, [3] C. J. Fillmore and B. T. S. Atkins. Starting where the dictionaries stop: The challenge for computational lexicography. In B. T. S. Atkins and A. Zampoli, editors, Compuational Approaches to the Lexicon, pp Clarendon Press, Oxford, UK, [4] C. J. Fillmore and B. T. S. Atkins. FrameNet and lexicographic relevance. In The First International Conference on Language Resources and Evaluation (LREC), [5] C. J. Fillmore, C. Wooters, and C. Baker. Building a large lexical databank which provides deep semantics. In Proceedings of the Pacific Asian Conference on Language, Information and Computation, [6] C. J. Fillmore, C. R. Johnson, and M. R. L. Petruck. Background to FrameNet. International Journal of Lexicography, Vol. 16, No. 3, pp , [7] K. H. Ohara, S. Fujii, H. Sato, S. Ishizaki, T. Ohori, and R. Suzuki. The japanese FrameNet project: A preliminary report. In Proceedings of PACLING 03, pp , [8] K. H. Ohara, S. Fujii, T. Ohori, R. Suzuki, H. Saito, and S. Ishizaki. The japanese FrameNet project: An introduction. In Proceedings of LREC-04 Satellite Workshop Building Lexical Resources from Semantically Annotated Corpora (LREC 2004: 4th International Conference on Language Resources and Evaluation), pp. 9 11, [9],. : FrameNet. 10
10 ROOT: 5 x y, , [ : jp/~kkuroda/papers/jfn-nlp10-rev4.pdf]. [10],.., 104 (416), pp , [ : ~kkuroda/papers/linking-l-to-k-v3.pdf]. [11],. : FrameNet. [COE 21 : papers/metaphor-and-frames.pdf], [12]. ID :. 5, pp , [13],,.. 21, pp , [14]. : HFN/FOCAL. 5 Conference Handbook, pp , [15],,. :., p. 39, [ clsl.hi.h.kyoto-u.ac.jp/~kkuroda/papers/ Nakamoto-et-al-CogPsy2004-Original.pdf]. [16] M. Johnson. Body in the Mind. Unversity of Chicago Press, [17] G. Lakoff. Women, Fire, and Dangerous Things. Unversity of Chicago Press, [18] A. D. Goldberg. Constructions. University of Chicago Press, [19] D. Rumelhart, J. McClelland, and The PDP Research Group. Paralledl Distributed Processing, Vol. 1. MIT Press, [20] J. McClelland, D. Rumelhart, and The PDP Research Group. Paralledl Distributed Processing, Vol. 2. MIT Press, [21] J. Pustejovsky. The generative lexicon. Computational Linguistics, Vol. 17, No. 4, pp , [22] J. Pustejovsky. The Generative Lexicon. MIT Press, [23] R. W. Langacker. Foundations of Cognitive Grammar, Vol. 1. Stanford University Press, [24] R. W. Langacker. Foundations of Cognitive Grammar, Vol. 2. Stanford University Press, [25] D. A. Cruse. Lexical Semantics. Cambridge University Press, 1986.
1 ( ) (1) (2) Pattern 1 (P1)// Pattern 2 (P2) (V1 = V2) (alternation) (SPRAY-PAINT alternation/ hypallage) (1) (2) P1: (Z ) X Y V1 P2: (Z ) X Y
1 ( ) 1 1.1 (1) (2) Pattern 1 (P1)// Pattern 2 (P2) (V1 = V2) (alternation) (SPRAY-PAINT alternation/ hypallage) (1) (2) P1: (Z ) X Y V1 P2: (Z ) X Y V2 1.1.1 : (1) P2 (3) : (3) [ X [ X [ X ] ] ] [ Y ]
More information2 2 1 (LOOKUP ) VLOOKUP(HLOOKUP) JR () 1 2 (S101.xlsx() 1 3 (1) C2) (2) (C3) (3) 2 (C4,C5) (4) (C6,C7) 1.1 (C6) C5 4 C6 C
2 1 2 (lookup ) (1) LOOKUP (2) (ROUNDUP,ABS (3) (4) (5) 2 2 1 (LOOKUP ) VLOOKUP(HLOOKUP) JR () 1 2 (S101.xlsx() 1 3 (1) C2) (2) (C3) (3) 2 (C4,C5) (4) (C6,C7) 1.1 (C6) C5 4 C6 C5 4 4 4 154 154 !"#$ % &'()*
More informationMicrosoft Word - 印刷原稿富山産業政策集積2.doc
1 1 2 46 48 50 3 2 5 50 55 50 2 3 50 4 H I= JK# $6 &' () *+ LM NM O6 PQ F >R BS 9TC U: F> GB S 9T UU : F> >B S 9V W: W BB BS 9VF W : # $% & '( )* +, / # $% & '( )* +, / # $% & '( )* +, / # $% & '( )* +,
More informationMicrosoft Word - NL34.docx
!!"!! !!#!! !!$!! !!%!! !!&!! !"#$%& u"" """""""v õúù5-.%&ûü """"""""ï '""( )"* +"* '""( )"* +"*,-./01 232453674 438983464 :%;5?%@%= 2236793666 2636973666 :%ABC= 8663666 8663666 D83666E23785F
More information7 3 4 5 a 6 7 8 9 a a a a a 0 3 4 5 6 7 8 9 0 3 DEF ABC 6 MNO 5 JKL 4 GHI 9 XYZ W 8 TUV 7 QRS P 0 POWER ON STD BY a 3 3 4 5 6 7 8 9 0 3 DEF ABC 6 MNO 5 JKL 4 GHI 9 XYZ W 8 TUV 7 QRS P 0 a a a a a a a
More informationMicrosoft Word docx
A STUDY ON LAND USE MANAGEMENT IN URBANIZATION CONTROL AREAS A Diagnosis of Effects and Problems of Municipalities Ordinances about Development Permission Ch. Jun-ichiro Asano Mem. Minoru Kumano This paper
More information<8E7395F131382E30328C8E8D865F8DC58F492E696E6464>
生誕96年 妖怪たちと 水木しげる 各会場とタイムテーブル JR境港駅前公園 午前10時 午後2時 食イベント ゲゲゲ食堂 前半 JR境港駅前広場 午前11時 11時30分 鬼太郎列車リニューアル 第2弾出発セレモニー 文化ホール 午後0時20分 無料シャトルバス運行 JR境港駅 文化ホール 午後0時30分 開場 午後1時30分 3時30分 水木しげる生誕祭 午後3時30分 無料シャトルバス運行 文化ホール
More information( ) ( ) Modified on 2009/05/24, 2008/09/17, 15, 12, 11, 10, 09 Created on 2008/07/02 1 1) ( ) ( ) (exgen Excel VBA ) 2)3) 1.1 ( ) ( ) : : (1) ( ) ( )
() ( ) Modified on 2009/05/24, 2008/09/17, 15, 12, 11, 10, 09 Created on 2008/07/02 1 1) () ( ) (exgen Excel VBA ) 2)3) 1.1 ( ) () : : (1) ( ) ( ) (2) / (1) (= ) (2) (= () =) 4)5) () ( ) () (=) (1) : (
More information1.1 [35] [35] : kkuroda/papers/smmc-in-a-nutshell. pdf ac.jp/ kkuroda/papers/ reply-to-nabes
FrameNet 1 ( (crossdomain mapping theory) [21, 22] (blending theory) [5]) [7, 8, 9, 10, 11] (super-schematization) S, T S, T ( ) S, T U S, T U S, T S, T 4.1 : (1) FrameNet [9, 10, 11, 12] : a. b. c. d.
More information土壌汚染の未然防止対策について
23 23930 () 44 46() 48() 53 7 22 GL : 1. 2. 3. -1! " #! $! %! &! '! (! )! *! " +,-%./0' (12*#$%&'() LMNO (1P*#$%&'() efo/efgpcb (1h*#$%&'() 34/5671,2-89::;?=7@A-1,2-89: :;>?=71,3-89::B:C=789::D?
More information2
a DEF MNO WXYZ ABC JKL TUV GHI PQRS 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 2 3 RUN VB-F050 ALARM a 1 2 4 3 5 6 4 7 5 8 9 10 6 11 12 13 7 14 15 16 18 17 8 9 1 10 1 11 1 12 1 13 1 14 1 15 1 16 VB-F050
More informations.ren
0%'''() *+,-1#23# $45%678() 9:;?@*+,- AB 1#23 L9MNOP 046%75'()!"#OP 846%Q''() RSTUVWXYZEFOP 64$%'''() [*\]E^OPVW_V`a*\ 540%7$'() bcdeop 840%$'8()!"#fgEFOPhfQgi 548''() j=fgefophf8$gi $45%$&6() klfgmnop
More informationA Japanese Word Dependency Corpus ÆüËܸì¤Îñ¸ì·¸¤ê¼õ¤±¥³¡¼¥Ñ¥¹
A Japanese Word Dependency Corpus 2015 3 18 Special thanks to NTT CS, 1 /27 Bunsetsu? What is it? ( ) Cf. CoNLL Multilingual Dependency Parsing [Buchholz+ 2006] (, Penn Treebank [Marcus 93]) 2 /27 1. 2.
More informationH20_P3_講義_前立腺がん_卵巣がん_子宮がん_学生用資料
2 3 4 5 6 7 8 9 +,-./012345! 6789:;! $%! (*! &'!?@!!"#! ()! 10 !!"#$%&'! %+?! @A=B'*>4C!!()*+,-./01!!23456789*:;!!DEFGH*IJ45K! 11 W5=>?)N_`ab! \]Z^!!"#$" 6$" Z[F!!" ACTH 012JKNTUV! W5=>?)XY5! *+,-./!
More information()
() PDCA FD 3 17 4 1 11 (1999) 15 (2003) ( 16 10 ) () 16 12 20 () JABEE 1. 1-1 2. 1-2 3. 1-4 3.1 1-4 (1) 1-4 (2) 1-4 3.2 1-7 (1) 1-7 (2) 1-7 3.3 1-8 4. 1-9 4.1 1-9 (1) 1-9 (2) 1-9 4.2 1-11 (1) 1-11 (2)
More informationCorrected Version NICT /11/15, 1 Thursday, May 7,
Corrected Version NICT 26 2008/11/15, 1 1 Word Sketch Engine (Kilgarriff & Tugwell 01; Srdanovic, et al. 08) 2 2 3 3 ( ) I-Language Grammar is Grammar and Usage is Usage (Newmeyer 03) 4 4 (is-a ) ( ) (
More information【関連資料】新小学一年生に関する調査関連資料(最終稿)_1213
Q. 4 2011 SA $% &' *+,./012 3) 456,7.89:;)?@ABC"D >E) FGH 44.0 38.0 45.2 49.4 1 89.2 87.4 I)JKCLM2CNO 28.6 54.0 17.4 8 >P) QR6ST >>) UAVWXYV9=Z[0Z >3) \].^F_F`=Z[0Z 2 27.0
More information( ) (NICT) JCLA Workshop 09/18/2004
( ) (NICT) kuroda@nict.go.jp JCLA Workshop 09/18/2004 Berkeley FrameNet: BFN (Fillmore, et al. 2003) Frame-Oriented Concept Analysis (FOCAL) FOCAL (Hierarchical Frame Network: HFN) {,,,,...} FrameNet ()
More informationels08ws-kuroda-slides.key
NICT 26 2008/11/15, Word Sketch Engine (Kilgarriff & Tugwell 01; Srdanovic, et al. 08) ( ) I-Language Grammar is Grammar and Usage is Usage (Newmeyer 03) (is-a ) ( )?? () // () ()???? ? ( )?? ( ) Web ??
More information目論見書
Fidelity Japan Growth Fund 1 1 2 3 4 5 6 7 2 3 A B AB CDEFG AB C D 4 (3) 2002 2 1. 5 2001 2 28 7 2001
More information取扱説明書
c TE-3000 TE-3000-15S TE-3000-15M TE-3000-20S TE-3000-20M OP 168 PGM OP PGM L J # - p P F f ø m x r t Å v u y 19 0^. R "º d E s i c k TE-3000!23$56'890 1234%678 y r 100V 31 1 2 ) 3 ) 1 2 3 4 5 6 7
More information取扱説明書
c TE-2100 OP 168 PGM OP PGM L J # - p P F f ø m x r t Å v u y 19 0^. R! d E s i c k TE-2100!23$56'890 1234%678 y r 100V 31 1 2 ) 3 ) 1 2 3 4 5 6 7 5 1 6 2 7 3 8 J J 4 9 ) ) ) ) ) ) ) @ 1200 $ k 2000
More informationÕŒœABx o m, r5:ø^!"#$ Àêq" ê/pq" Å AB" ab" ñe}s%:pq±ú ñ ( µüu:pq±ú ñ ªqú ºä4",ø ƒ5,ø ƒ5,ø ƒ5,ø «ƒ5 ñ uå 4» ú uñ aæ" %&'() * * * >?@ +AB#C,D5 +AB#CEF +ABGHI2JK +,-.!/0"12345 +,6789:;
More informationd ß!FSS2! +, ÿ!ÿ º ƒ ª æª2 >d Àæ êÕ!"# $% &' () *"+,-!"# $% &'./ () *"+,-!"# $% &' () *"+,- 012 3456 78787 7 9 :;5< =8989 >=?!! 19!! 7@ AB5CD 18?8@E@ 18=8FE= 72?!! >7 G65HI F8F8F F 7= JB5KL 9878= MN O!!
More information取扱説明書
TE-120 c OP 168 PGM OP PGM o v u % p P - m x r t Å 19 0^. R! w E d i c k CASIO TE-120!23$56'890 1234%678 r 100V 31 1 2 ) 3 ) +- 1 2 3 4 +- 5 ) ) 1 2 3 4 5 6 7 ) 1i 7 8 9!P o o!q ) ) ) ) ) ) ) @ 1200
More information1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. !"#$ %&'( )*#$ %&'( +*#$ %&'(,$ -./ 01234 56.7865/ 9 :6:5/ ;$ 5 :6 :6::/ F$ B/ GH :68.7:6B/ I>J> :6::/ KL=34 :65.7:68/
More informationMicrosoft Word - p2-11堀川先生_紀要原稿_ final.doc
u 0Q w ÎÈÉg fêf 2008 uê Êfu ÉÈÉÆÍÌÊÊÊÇÊ ÃuwÊ ÃÉÃÊfÃÇÆÍÂÇÍÊ ~ÈÉ ÎÈÍÇÉÇÍÇ ÈÍÍÇ ÎÈÍÉÊÊÆÆÆÇÉÇÊvxÊÆÂ É ÆÆ ÌyÎÈÍÉÇÉÊÇ ÌyÎÈÍÿ~ÊÔÖÑÑÉ ÈÇÉuÊÈÌÈÌÊÊÑÐÖÎg fèíçéçuéæíâèíêí ÉÉ ÊÃÎÆÃÎÆ ÌÉÆÊÌÉÇÍÍÆÊÊÍÂ ÊÊ ÈÉ Ãfu ÃÊÊ 1
More informationTELEMORE-IP(824) 取扱説明書
4 5 a 6 7 8 9 a a a a a 0 7 8 9 0 4 5 6 DEF ABC 6 MNO 5 JKL 4 GHI 9 WXYZ 8 TUV 7 PQRS 0 POWER ON STD BY a 7 8 9 0 4 5 6 DEF ABC 6 MNO 5 JKL 4 GHI 9 WXYZ 8 TUV 7 PQRS 0 a a a a a a a a a a a a a 4 a a a
More informationÊÈÌÊ fêôöôï Ö É É ~ Œ ~ Œ ÈÍÉÆÍ s Ê É Â Ê ÉÉÆÍÇÉ Ê Ê É Ê ÈÍv ÈÍ É ÈÍ Â ÇÍ vèé Ê Ê É ÈÉËÈÆ ÊÌÉ Ê~Æ Ê Ê ÈÍfÆ Ê ÊÉÆÉÊ Ê Ê ÈÍ Ê ÈÉËÈÆ
Ê È Ì Ê 12 ~ (4 Â9 )ÊÍÍ ÿj fd 5.837 Ê Â Ð ÓÑ (TCSA) Ê fç 2.924 É Ê ÎzÆÉÆÌÈÂ Âÿj Ê sê 9 Â sê 5 Î ÉyÉÉÆÍÉÆÍÍÉÆÌÈÂ 13 Ê TCSA ÉsÊÉÉ w ÊÍÍÉÂ 53 Ê ƒ Êd ÊÂ11.700 ÉÊÉÉÆÌÈÂ ÆÌÌ s ÊÉÉÉ ÇÈÇÉÊÉÇÊÆ Ê ÉÈÇÂ ÉÆÆg É ÈÊÌÊÊÉÆÉÊÿj
More informationロシア語便覧 1
- -È - - -ÚÂÎ Û Ë±ÚÂÎ, ÔËÒ ±ÚÂÎ - apple ÒÂÍappleÂÚ ±apple, Ë ÎËÓÚÂ±Í apple flì ±apple, Ù apple ±Î ÒÚÓ±Î, ÒÚÓÎ ± αÒ, ÎÂ±Ò ; ÎÂÒ ±, ÎÂÒÓ± ÁÛ±, ÁÛ± ; ÁÛ±, ÁÛ Ó± -, -Ë ÒÚÓÎ ±, ÊÛappleÌ ±Î, ÏÛÁ±Ë, ÒÎÓ appleë±
More information有価証券報告書
MDI Corporation orporation 0353500020 Miyama Real Estate U.S.A., Inc. Miyama Guam, Inc. MDI Guam Corporation Trianon Palace Hotel De Versailles S.A. Trianon Palace Hotel De Versailles S.A. Miyama
More informationMicrosoft Word - 99
ÿj~ ui ~ 伊万里道路 ~{Êu ÊËu ÎÍÊ Êy y Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ÿj~ ui ~ ~{Êu ÿj~ 497 ui ~ Êu ui ~Êud~{ÊÿÉÉvÍÉ~{ÉÆÍÂu ÊÆÇÍÊÂ~ÊÊÇÇÍÌÊÉÆÍÂ {dêîzééââââîé ÊiÍ MO Êÿj~i ~{ÉÆÍÂ Ë ÊÇÍÎ~ÌÉÇÉÆÍÂÌÉÊ,%6 +% ~{Êÿ Â,%6 ÌÊÉ +% ~{É~{Ê
More information<4D F736F F D2088CF88F589EF8E9197BF F690EC816A2E646F63>
v w y ÆÎf ()1 1 1. Êu (1) Êu (2) Êu (3) vêu (4) ÆÎfÊu (5) ÉÊwŠ (6) Êd (7) Êu (8) ÇÍÌÉsÉÉÊ 2. Êu (1) Ê (2) Êd (3) Ê (4) Ê (5) Ê (6) Ê (7) ~ÉÊ (8) Ê ÈÉÍÌ (9) y 3. Ê~Êu}Ì 4. ÐÑÒdÊ 5. 6. ÈÊ ()1 2 1. Êu Êu
More information„¤‰ƒ‰IŠv‚æ‡S−ª†{“Å‘IB5-97
vè ÆÎ~ÈÉfÆÍÇÉÊÉÇÍ Êg Ê Ê ÇÉ g w y ÊÈÌÊ {v É Ê Š vè ÆËÊ vè ÆÊ ÍÊvÌ vè ÆÎ ÈÈÍvÌ É Ê ÍÍ * Î~ÉÉ * Ê ÈÍ ÊŠÆ ÃÍÇÍÊÆÃÊ f ÆÍÍÊ ÊÈÌÊ ÌÉÊ ÊÂÊÆÈÉÌxf ÊÉÉÉÊÂ ÊÊÍÇÉÉÆÉÉÂÇÍÉÃf ÆÍ ÃÇ ÊÉÇÊÉÍÆÇÂÒÑÒÉ Î ÍÈÍÇÉÍÍÌÂ É Éh Î ÊÉ
More information<4D F736F F D BB388E78CA48B B E6328AAA D655F92B290AE82B382E782C E646F63>
gêæçí ÊÌÊ É f ÏÖ ÂÎÕÖÏÂ Ê g ÐÖÏ ÖÎÖÓ ÕÓÕÒÒÖÐ ÊÈÌÊ ÊÂ Ê ÉÊ xêïòðöê ŠÉÇÍÂÿÉÊÂ x EQPEGRVWCNMPQYNGFIGÂÌÆÿÉÊ ÉÈÉÊ xrtqegfwtcnmpqyngfigéæíâ xêâ Îu ÈÉÍÂ ÂÊfÆ É Ì hî ~ ÇÉÍÂ fæî uè ÍÇÉÉÆÍ Â ÉÈÉÊ xêâ Ê ÍÍ xâ y Âu
More information¥ì¥·¥Ô¤Î¸À¸ì½èÍý¤Î¸½¾õ
2013 8 18 Table of Contents = + 1. 2. 3. 4. 5. etc. 1. ( + + ( )) 2. :,,,,,, (MUC 1 ) 3. 4. (subj: person, i-obj: org. ) 1 Message Understanding Conference ( ) UGC 2 ( ) : : 2 User-Generated Content [
More information<4D F736F F D2088CF88F589EF8E9197BF816991E596EC927C A2E646F63>
ÿj~ ~{ 大野竹田道路 ~{Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{Êu ~{Êu ~{ÊÂÊv{dÊÈÍÉu~{ÉÂ ÎzÉÈÉÎÈÊiÍ MO Êi ~{É ÆÍÂ ~{ÊÂÂÎÉÈÉÈÍÈÍÊÎÊ~ÈÂ ÊÎ~ÈÍÉÉÌÊÂdÊÂÊÈÍÇÉÎ ÉÈÉ~{ÉÆÍÂ ÌÉÂdyi ~Ëi ~É~ÈÍÍÇÉÊÍÍÂÓ ÒÒÖ ÐÇÈÍÂÈÌÈÌÊÉÊÇhÉÊÍÂ ~{
More informationジャパンクラシックマスターズパワー出場選手の皆様へ ~ 今大会出場選手の皆様には 以下の事項を遵守していただきます ~ 1 コーチ ( セコンド ) 事前申告制に関して本競技会では 競技中対応するコーチ ( セコンド ) の人数に制限を設けます なお 選手 1 名につき最大 3 名まで ( 付けなく
ジャパンクラシックマスターズパワー出場選手の皆様へ ~ 今大会出場選手の皆様には 以下の事項を遵守していただきます ~ 1 コーチ ( セコンド ) 事前申告制に関して本競技会では 競技中対応するコーチ ( セコンド ) の人数に制限を設けます なお 選手 1 名につき最大 3 名まで ( 付けなくても構わない ) コーチ ( セコンド ) を付けることが出来ます 但し 検量時間内に所定の用紙 (
More information201002jour_12.indd
Information magazine URL http://www.hosp.go.jp/~okayama/ This is our hospital 25 6 E-mail info@okayama3.hosp.go.jp C O N T E N T S 79 9 16 10 11 12 Human Friendly Hospital T h i s i s o u r h o s p i T
More information< F31332D817992B48DC A8CCB8E9F81458CA28E942E6A7464>
一般国道 10 号 戸次犬飼拡幅 ŠÊu ÊËu ÎÍÊ Êy y Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ŠÊu ÿj~ Êu ÿj~ Ê ÎzÉÈ ÎÈÉ ÊiÍ Êud~{ÉÆ ÍÂÊ uêiîí ÉuÊ{dÉÆÍ ËÉÇÆÊÇÆ ÇÊÆÉŠÊ xgdésèéæ ÎzÉÉÆÍÂzÎÓÏÓÑ ÎŠÓÏÓÑ ÉÈÂÉÎËuÊ ÉÆÍ v Ê Ó ÐÎÊ~Ê ÊÍÍÇm ÈÇÂÌÉÂ~ÌÊ~ÇÈÍÍÊÊÂ
More informationuntitled
ŸŸŸŸŸŸŸŸŸŸŸŸÏÒÔŸŸŸŸŸŸŸŸŸŸŸ ÐÖ Ò Ð ÒÏÑÕ ~OU Í Í Í Í uu Í Í u Í ÏÒÔ ÿus Á uá Át Á Áys oá Á ÁÁ Áy ÐÖÔ Á ÐÖÔ Ám ÐÖÔ Á km Á ÐÖÔ ká,t Ð Á Á 4% Á Á ÈÌÈÉ Áz mᜠÁÁ Á Á }ÁÁ ~oáy ~ }ÑÔ Á { Á Œu ÐÖÔ Áy Ám ˆÁ s Á
More informationMicrosoft Word - GrCadSymp1999.doc
u u Ê É Îf ÈÉ uõòñõçí uõòñõëêi oy * ÎÏ Ó ÏÕ( ) **Ï ÓÐ ÕÖ *** ÎÏ Ó ÏÕ( ) APÑÖÕ ÑÕ { itot, inoue, furuhata} @trl.ibm.co.jp shimada@cmu.edu Automated Conversion of Triangular Mesh to Quadrilateral Mesh with
More informationComputational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate catego
Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate category preservation 1 / 13 analogy by vector space Figure
More information<4D F736F F D2092B28DB882C982C282A282C42E646F63>
Íû Ñ ÐÑw x ÌÆÇÇ ÇÊÊ ÉÈÉÃÑ ÐÑwà v Ê ÉÇÂdvÊwÎxÇiÊ vèéìêéèâ Ñ ÐÑwÊËÊÊÎwÈÂÈËÉÊÊÆÇ ÍËÊfuÊ~ÎËÊÍÇÊÈÍÇÉÂvw ÊÉÌÊyÎÍÇÉÎÉÈÉÆÌÈ ÇÊwÊÂÇÊÎÿÉfÊÈÍvwÉÈÉ vwêêêuvwîuèâéêvèíéwéâéê ÎyÉÈ ÍÂÇÉÿÊvwÉÈ ÎÂsÌÊÂÆÍÆÊgyÉÈÉÇÈÉÆÉÉÇÍÊ
More information<4D F736F F D F8DE98BCA8CA797A78FAC8E9988E397C3835A E815B82CC8A E646F63>
Â Â Ê fd Ê ÂÆÉ fê ÉÆÉÉÂ Ê ËÉd ÉÊ Â Ê ÈÉ fd Ê É ÍÍ ÈÉ f Ê É ÍÍ ÈÉ fâd sâ u sê Ês Ê ÇÉÆÉÉÂ Ê ÍÍ ÊÆ É Ê É ÍÍ ÈÉÂ Ê fê ÉÂ É ~u ÊECTT[QXGTÊ ÂÆÍÆÊ Ñ Ñ É ÎsÆËÇ Ê ÉÆÉÉ fêæéâd fê ÌÍ Ê ÉÆÍ É ÇÊ ÊÊÇÉÉÂ Ê fê
More information„¤‰ƒ‰IŠv‚æ‡S−ª†{“Å‘IB5-97
Ê f Î~ÈÉ ÇÊ Êg Ê ÉÇÍÎ Ê g w } o k ÊÈÌÊ Ê ÉÇÍ v É {ÊÈÍ ÊfÆÎ ÇÈÉÇ f h ËÊzÇÇÍ ŒÎ ÍÊÆ xê f Ê fëê Ê ÈÍ Ê ÔÖ ÒÉ Ê ÆÉ Æ ÊƒÆ f vè ÆÊw Ê Ê ÍÍ Æ f ÆÍÍÊ ÊÈÌÊ ÉÊ ÇÍ ÌÉÃvÌÉ ÊÈ ÃÎÒ ÔÊ Çs ÍÍÉÆÍ ÇsÍÍÉÆÉÂ Ì É Ê ÎsÉÉÂ
More informationMicrosoft Word - 「医療ITの経済性評価」に関する研究報告.doc
1 18 400 60 17 5 400 11.7 16 4 14 15 2 1 14 108 125 16 15 15 16 18 60 1 100 150 2.55 500 1 1200 8,000 4 83 6 5 5 1 17 5 2 IT 3 1 IT Win-Win 3 IT 3 4 !"#$ #%&'()*+,*-./01)23456789:;
More information<4D F736F F D2088CF88F589EF8E9197BF81698CA28E9490E78DCE816A2D312E646F63>
ÿj~ ~{ 犬飼千歳道路 Š~{Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh Š~{Êu ~{Êu ~{ÊÊv{dÊÈÍÉu~{ÉÂ ÎzÉÈÉÎÈÊiÍ MO Êi ~{ÉÆ ÍÂ ~{ÊÂÂÎÉÈÉÈÍÈÍÊÎÊ~ÈÂ ÊÎ~ÈÍÉÉÌÊÂdÊÂÊÈÍÇÉÎ ÉÈÉ~{ÉÆÍÂ ÌÉÂdyi ~Ëi ~É~ÈÍÍÇÉÊÍÍÂÓ ÒÒÖ ÐÇÈÍÂÈÌÈÌÊÉÊÇhÉÊÍÂ Ÿe
More informationÒ ÑÔÏÓ ÐÎ ÆÉ z uññòõ w g ÌÊÉÇÍ ˆ ˆ Ð Ö Ò z Ò ÑÔÏÓ Ð ÓÑÐÒÒ ÎÔÖÏÖ ÎÖÐÖÑÕ uôöðöõ Î~ËÍÂÌÉÂ ÑÑÒÕÊ ÉÊÍ ÌÆÇÇ Î Ê ÈÂÊÈÇÊÓÑÐÒÒ ÇÂ z uêèéæíçî ÍÇÊÈÍÂ t Ê Ç ÈÍÂ Â
w g ÌÊÉÇÍ ˆ ˆ Ð Ö Ò z Ò ÑÔÏÓ Ð ÓÑÐÒÒ ÎÔÖÏÖ ÎÖÐÖÑÕ uôöðöõ Î~ËÍÂÌÉÂÑÑÒÕÊÉÊÍ ÌÆÇÇ ÎÊÈÂÊÈÇÊÓÑÐÒÒ ÇÂzuÊÈÉÆÍÇÎÍÇÊ têç ÂÊ Çt~Ê ~ÈÍÒ ÑÔ ÑÊnÈÍ Â Â z zê}âšzê ÍÍÆÊÊÉÉÂÇÍÊÆÂÎÈΠʈÉÇÉÊÇÂÎÔÑ Ð ÓÑyʈÇÍÌ xèíëçjîèízuññòõë
More informationMicrosoft Word - ’V‘é−gŁš.doc
ÿj~ Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{ 2 1 Êu ÿj~ Êu ~Êÿj~ ÊÂÇÍÊiÍ MO Ê{dÉÆÍ ÂÊÊ ÊuÊÎdyÉÆÍ {dêâi ~ +%ÌuËÊÎÐÑÑ~{ÉÆÍ ÉÎˈÊuÊ{dÉÆÍÂÌÉÂ~~ÍÊdÊÊÌ ÂvÇ ÉÆÍÇÉÇÍ ÊÊ~{ÉÉÌ ÎÆ{dÉÊÉÉÆÍ Êu u ÿj~ ÊÊ~ÊÊÂÇ~ÉÆÍÂy ÊÊ
More information<4D F736F F D EC08E7B8FF38BB BD90AC E A837A815B B83578C668DDA97702E646F63>
19 ÃÉÌÇÌÆ ÔÖ Ã Ê Î È x ˆ ~Ê Ê Ê ~ Ê Ê ~ Ë~ e Ì vâ Ó ÔÖÒÒ ÊÍÍÂ Ê ÈÍ uî ÌÉÌÍÆÉÌÊ Î ~ÈÌÈÂ Ê ÉÇ u ÊÉÍÍÍÊÆ Ê ÊÏÕ ÑÎ Ê ~ÈÈÍÉÌÂ s Ês Ê ÈÌÈÂ Ã ŠÃÌÃ ŠÃÊÊÊ f ÌÂ x Î ÈÂ Ê ÈÍ Î ~ÈÌÈÂ ÑÏ Ñ Ê Êu Ê ÉÂÈÌÈÌÊ s Îu ÈÉÌÊ
More informationXF-E211D Telsh-V a e
XF-E211D Telsh-V a e 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 2 3 a 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 4 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 6 1 2 3 4 5 6
More informationMicrosoft Word - −C−…−gŁš.doc
ÿj~ Êu ÊËu ÎÍÊ Êy Ê~ Ê~Êu}Ì ÐÑÒdÌÊh ~{ 3 1 Êu ÿj~ Êu ~Êÿj~ ÊÂÇÍÊiÍ MO Ê{dÉÆÍ ÂÊÊ ÊuÊÎdyÉÆÍ {dêâi ~ +%ÌuËÊÎÐÑÑ~{ÉÆÍ ÉÎˈÊuÊ{dÉÆÍÂÌÉÂ~~ÍÊdÊÊÌ ÂvÇ ÉÆÍÇÉÇÍ ÊÊ~{ÉÉÌ ÎÆ{dÉÊÉÉÆÍ Êu u ÿj~ ÊÊ~ÊÊÂÇ~ÉÆÍÂdÊÊÇ
More information13)) *.+ ****&" P(. 1 7(DQR 1 7R1 71 7'SE TUVWXOY X /' Z6C[ ]^_ R1 71 7' `1 7abc Z
13***9*)-+ 1 7* 1 7*.*+9))9-- 1 71 71 71 71 71 7! 1 7 1 71 7 1 71 7 1 7 1 71 71 71 71 71 7 1 71 71 71 71 71 7!1 7"1 7#1 7 $%&1 71 7 '1 7%1 71 71 7 1 71 71 71 71 7 "1 71 7 1 7$%&1 71 71 7 (1 71 71 71 71
More informationŸ ( ) ,166,466 18,586,390 85,580,076 88,457,360 (31) 1,750,000 83,830,000 5,000,000 78,830, ,388,808 24,568, ,480 6,507,1
( ) 60,000 120,000 1,800,000 120,000 100,000 60,000 60,000 120,000 10,000,000 120,000 120,000 120,000 120,000 1,500,000 171,209,703 5,000,000 1,000,000 200,000 10,000,000 5,000,000 4,000,000 5,000,000
More information.W.....\..1-2.o...p
a DEF MNO WXYZ ABC JKL TUV GHI PQRS 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 3 a 1 2 4 3 4 5 6 5 6 7 8 9 10 11 12 13 7 14 15 16 18 17 8 9 10 1 1 11 1 12 1 13 1 14 1 15 VB-F050 RUN ALARM 19 20 21 22
More information取扱説明書
TK-110 c OP 168 PGM OP PGM 019^. É E y x u - v m r R t Å P # o d i c k +}*? CASIO TK-110!23$56'890 1234%678 y r 100V 31 1 2 ) 3 ) +- 1 2 3 4+- 5 ) ) 1 2 3 4 5 6 7 ) 1i 7 8 9!P o o!q ) ) ) ) ) ) ) @
More information21 2 26 i 1 1 1.1............................ 1 1.2............................ 3 2 9 2.1................... 9 2.2.......... 9 2.3................... 11 2.4....................... 12 3 15 3.1..........
More informationMicrosoft Word - 484号.doc
~s~é~díê ÈÍ~ ~vêíí w gé Ê~Ê Âf Âyf ÉÊÍÂ Ê ËÍÊÉÊÇÈËÉÎÍÉÆÆÃÒÖÔÖÃ ÉÆÉÉÉuÆ ÍÆÂÈÉÇÉiwÊ}ÈËÇÇÉÉÊÆÍÂÈÇÈÊÇÍÂ~ ÊÇÎu ÍÉ Êf ÇÍ Ê ÉÍÈÇÊÇuÍÍÍÌÊ ÊÂyfÊ ÇÍ ÉÊÆÍÂfi ÉÆÆ ÊÊÈÍÉÆÍÂ ËÍÊÒÖÔÖÉÆÆÎ ÍÉÎÉ ÉÉÆÆÉÇÊÎÉÊÇÍÌÆÍÍÊÆÉÆÍÆÂ
More information<4D F736F F D BB388E78CA48B B E6338AAA2B92B290AE2B E646F63>
ÈÆÉÇÍÊ ÈÍÿf ÃËÆÃÎ~ÈÉ g w ÊÈÌÊ ÊÈÌÊ Êv ÈÆÉÇÍ vƒ ÇÍË ÊvÈÆ ÊÊÇÆvÈ uêæí ÉÊÃÌÉÌà {ÎÆ ÆÍÍÊ ÌÉÊÂiÍÊÊÈÉÃÊÉÉÉÊÉÊÇÃÉÆÉÉÆÇÇÎÈÉ ÇÆÉÉÉÍÆÇÂÉÈÉÂÇÍÌÉ ÊÎ~ÇÈÉÊÇÉÌÊÊÂÊ ÌixʈÊÊ ÊÊÊÇÉÉÂ}ÊÎÈÉÍÂÊÎÆÇËÉ ÍÈÊÇÍÍÎÉvÊÆÍÇÂÎÇÈÉÌÊÎfÆÍÇÉÊÊÇÉÉÊÉÆÍÂ
More information取扱説明書 [F-07E]
2 3 4 5 6 7 8 9 0 2 3 4 5 a b c d a b c d 6 a b cd e a b c d e 7 8 9 20 a b a a b b 2 22 a c b d 23 24 a b ef ghi j k cd l m n op q w xy z r s t u v A B a b c d e f g h i j k l m n o p q r s 25 t u v
More informationIPSJ SIG Technical Report Vol.2010-NL-199 No /11/ treebank ( ) KWIC /MeCab / Morphological and Dependency Structure Annotated Corp
1. 1 1 1 2 treebank ( ) KWIC /MeCab / Morphological and Dependency Structure Annotated Corpus Management Tool: ChaKi Yuji Matsumoto, 1 Masayuki Asahara, 1 Masakazu Iwatate 1 and Toshio Morita 2 This paper
More informationletter by letter reading read R, E, A, D 1
3 2009 10 14 1 1.1 1 1.2 1 letter by letter reading read R, E, A, D 1 1.3 1.4 Exner s writing center hypergraphia, micrographia hypergraphia micrographia 2 3 phonological dyslexia surface dyslexia deep
More information<4D F736F F D208B7B8DE890BC5F90E096BE8E9197BF5F2D F4390B32E646F63>
一般国道 10 号 宮崎西バイパス ÿj~ uóïóñêu ÊËu ÎÌÇÍÊ Ê eêu Êv wêæí ÊvÊu vêu uvêèív ~{ 1 ÿj~uóïóñêu ÿj~êu ÿj~êâîzéè Î ÈÂ ÊiÍ MOÊud~{ÉÆÍÂÊÎ dèí{dêâêuëuî~èíuê{ déæíâêââîèíîééæíâ ÿj~uóïóñêu u uóïóñêâuê~êuîíâ~ê ÉÎÈÍÇÉÎÊsÉÉÌÊÉÆÍÂ
More informationš ( š ) (6) 11,310, (3) 34,146, (2) 3,284, (1) 1,583, (1) 6,924, (1) 1,549, (3) 15,2
š ( š ) ( ) J lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll ¾ 13 14. 3.29 23,586,164,307 6,369,173,468 17,216,990,839 17,557,554,780 (352,062) 1,095,615,450 11,297,761,775 8,547,169,269
More informationE115_FAX_J.book
1 CHAPTER 1-1 1-2 1-3 1 2 3 45 6 7 8 90 A BC D EF ABC DEF 1 2 3 C 1 2 GHI JKL MNO 4 5 6 01 02 03 04 05 06 07 3 4 F1 F2 PQRS TUV WXYZ 7 8 9 08 09 10 11 12 13 14 0 ID 15 16 17 18 19 20 21 43~63 22~42 V U
More information産業能率大学
C"#$%#$&'()*#%))&+%)%,r./&C%#$%r&0##(,1&+%2"r$&3"14&5 C"#$%#$&'()*#%))&+%)%,r./&C%#$%r&0##(,1&+%2"r$&3"14&5 nopqrmstuvw%?=o=xyz!" #$% $&'( ) *+,-./ 0 12./ 3 456 37 8 *+,-59:*; 08. ?= 00 7 @ )A B CDEF
More information( š ) œ 525, , , , ,000 85, , ,810 70,294 4,542,050 18,804,052 () 178,710 1,385, , ,792 72,547 80,366
( š ) 557,319,095 2,606,960 31,296,746,858 7,615,089,278 2,093,641,212 6,544,698,759 936,080 3,164,967,811 20. 3.28 178,639,037 48,288,439 170,045,571 123,059,601 46,985,970 55,580,709 56,883,178 19. 4.20
More informationuntitled
24 591324 25 0101 0002 0101 0005 0101 0009 0101 0012 0101 0013 0101 0015 0101 0029 0101 0031 0101 0036 0101 0040 0101 0041 0101 0053 0101 0055 0101 0061 0101 0062 0101 0004 0101 0006 0101 0008 0101 0012
More information首都圏チェーンストアチラシ出稿状況調査 リニューアル 2014 年 6 Sample 月版版
首都圏チェーンストアチラシ出稿状況調査 リニューアル 2014 年 6 Sample 月版版 w ÛÝÝÜÛÚ ÜÛw àýüýà ÝÝ ÝÝÝÝÝÝÜÜÛÛÙÛÚÚÚ ÉÉÖ±Ö Öw ÖÛÝ݃ Ö ÝÝÝ ÖÜwÝÝÝ ÉÉÉÉ ÝÝ ÜÝ ÜÝÝ ÖÝÝÝÝÝÝÝÜÜ Ö Ö ÌÌ ààà Ê syµeêéêéê ÊÉÊÊÊ Ê e ÉÊÉÊÊÉÊ ÊÉÊÊÊ Ê ÝÜÝÝ ÊÉÊÊ ÊÊÉÊÊÊ
More informationMicrosoft Word - p12-21紀要論文_ジョさん_0908.doc
u 0Q w Ê ÊG ÖÔÖÆÍË Ê ~ÎÊ G Ê Ê Ê uêéìê Ê Ê ~ Ê yîêf ÈÉÌÊÉÆÍÂÈÊÉÌ Ê ÉÆÉ ÖÔÖÊ ÉÈÉ ~ uì Ê ~ y Îf È Ê ÉÈÉ Ç ÊsÉÉÆÍ uêéæé uèéâìé u ÈËÇÆÇÉÇÊ Š ÎÈ ÊÎ ÍÇÊÈÉÂ 2011 8 Ê Ê Ç 3 765 519 10,529 Ç 587 ÆÍ 1) Â ÊÆÆÉ ÊÉÊÍÃ
More information取扱説明書
C TE-5000/TK-5000 n n 14-0% n n n n n n n n n n n m OP M PGM L J w x F f - r p P m t Å v u M 1 9 0 ^. R " d E ß Í ß Í i c L J r t R E Å x u v m É 1 9 0 ^. d i c w l r n n n n n n n n 1 2 m n n m n
More informationMicrosoft Word - TR4_Effort.doc
ÔÖÑÑÎÉÈÍ ODC ÎÆÉ ÿ js ÊÈÌÊ ÑÔÒÏÏÎ ÊÆÇÍ ÓÐ ÊÊ ÐÑÒ~Ì~ÊÊÿÉÉÆÍ ÈÇÉ ÌhÇÉ ÊÎwË ÈÊÉÊ ÎÍÇÊÈÍÌ ÇÈÍÉÆÍ ÊÇÊ t~ ÉÈÉ ÕÑ Í Ð ÒÏ ÐÕÑÊÊ ÇÍÈÍÇ 1&%1TVJQIQPCN &GHGEV%NCUUKHKECVKQP Š=?Ê ÊÉÆÉ Î ÆÇÉÇÊŠÊŠÈ ŠÊ ÊÍÊÎ Ìh ÉwËÍÇÉÉ
More information( )
NAIST-IS-MT1051071 2012 3 16 ( ) Pustejovsky 2 2,,,,,,, NAIST-IS- MT1051071, 2012 3 16. i Automatic Acquisition of Qualia Structure of Generative Lexicon in Japanese Using Learning to Rank Takahiro Tsuneyoshi
More informationfm
ÁÔÖÐÖÕ Ð +1 f ª ª ª ª ««««ªªª f ª ªª ª ªª ª ªª ª f ªªª ªª ª ªªª f ªª ª f f ªª ª ª ª ~ &'(556#46 &'(5#761 &'(5/#0 &'(5/#0 &'(5%;%.' &'(5/+)+ &'(5*++ &'(12+0 &'(1*#0&&90 &'(1*#0&/#' &'(12+072 &'(1#+4
More informationË,, ÌÓ ÏÓÈ ÂÈ? ÚÓÚ, ÚÓÚ
001 1 002 3 003 3 004 4 005 5 006 7 007 7 008 7 009 8 010 Ë,, ÌÓ 8 011 10 9 012 10 013 10 014 11 015 12 016 ÏÓÈ 13 017 ÂÈ? 13 018 ÚÓÚ, ÚÓÚ 14 019 14 020 16 021 Í ÍÓÈ? 16 022 18 023 18 024 19 025 19 1992
More information18 I ( ) (1) I-1,I-2,I-3 (2) (3) I-1 ( ) (100 ) θ ϕ θ ϕ m m l l θ ϕ θ ϕ 2 g (1) (2) 0 (3) θ ϕ (4) (3) θ(t) = A 1 cos(ω 1 t + α 1 ) + A 2 cos(ω 2 t + α
18 I ( ) (1) I-1,I-2,I-3 (2) (3) I-1 ( ) (100 ) θ ϕ θ ϕ m m l l θ ϕ θ ϕ 2 g (1) (2) 0 (3) θ ϕ (4) (3) θ(t) = A 1 cos(ω 1 t + α 1 ) + A 2 cos(ω 2 t + α 2 ), ϕ(t) = B 1 cos(ω 1 t + α 1 ) + B 2 cos(ω 2 t
More information...C...{ ren
15 2010. 2 41 1 1 2 Ura 1999 1a 1b 1c 42 2a 2b 2c P P Takezawa 1987 Tada 1992, 1993 Zushi 1995 Ura 1999 Hiraiwa 2001 Tada 1992 Agr AgrOP-Spec Ura 1999 Hiraiwa 2001 TP-Spec Kuno 1973 2 3, 4 3a 3b 3c 3d
More information[1], B0TB2053, 20014 3 31. i
B0TB2053 20014 3 31 [1], B0TB2053, 20014 3 31. i 1 1 2 3 2.1........................ 3 2.2........................... 3 2.3............................. 4 2.3.1..................... 4 2.3.2....................
More information< F31332D8B638E FDA8DD E F1292E6A>
v u x u ~ ÔÒÖ Ê f     u    Âl  d    ~{  d  y y x y v u f Ë s y v u y v u u Ë~ u y Ê v ÊÉÆÉ y v Ë v y ÿus y Ê Ê~ ÊÉÆÉ y v ~{ fy v Ê ÈÍ u ~ Ê v u ~ ÊÆÍÌÍÃÈÊ vyãê Í v u ~ Ê v u ~ ÊÆÍÌÍÃÈÊ vyãê
More informationUNEP sustainable consumption sustainable production 1980 rebound effect rebound effect IO-EHA 1 CO 2 rebound effect CO 2 rebound effect
2005 3 Discussion Paper No. 95 UNEP sustainable consumption sustainable production 1980 rebound effect rebound effect IO-EHA 1 CO 2 rebound effect CO 2 rebound effect 2005 3 1 (Environmental Household
More informationMicrosoft Word - 表紙hara.doc
Fertility Decline of SapporoDemographic Characteristics, Socio-Economic Backgrounds and Possibilities of Policy Interventions Toshihiko HARA, School of Design Keywords: fertility, family policy, time series
More informationロシア人の名前
10 12 15 18:35 19:15 19:30 19:40 19:50 ðàñêîëîòü îäèîí îìàíû àñêîëüíèêîâ P äàí åæäàí Šðàñ åêðàñ àéäþí îëüøîé ðåòüßê Œîðîç îëê ûê Šîò îðîáåé 862 988 (3/15) (3/15) (3/16) (3/17) (3/18) (3/19 3/22) 18 25
More information<4D F736F F D F8DE98BCA8CA797A78FAC8E9988E397C3835A E815B82CC8A E646F63>
s tâââoçæ #NQPIICRŠ~ ÊÈÍŠ~ Í d ÊÍÍhh Š~Š~ Ñ Ñ Â s tââoçæíâ u gzsîæg~ Â Ñ Ñ s Ê Â tââoçæíâ Â Ñ Ñ ÊÉ Ñ ÔÑÏÕ Â tâââoçæ NQPIICRŠ~ ÊÈÍKPVGTPCN u Í VTCEVKQPÎÆÉhh s dâ Ñ Ñ ÿ Ñ Ñ ÂÂys ~ÎsÈÉ gsh hg ÂÂoÇÆÍÂt
More informationsstDA97.xls
迷惑メール情報提供用プラグイン (W in d o操 w s 作 L手 ive 順メ説ー明ル書 2 0 0 9 版 )! #"$&%('$)*)+-,/.103254768:978?
More informationMultiWriter 5650F 活用マニュアル
1 2 3 4 5 6 7 8 4 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 13 1 2 3 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 1 2 3 a b c 32 33 34 35 2 ± 36 2 2 ± * 37 * 38 39 40 41 42 43 44 45 46 47 1 2 @:./
More informationŸ Ÿ ( ) Ÿ , , , , , , ,000 39,120 31,050 30,000 1,050 52,649, ,932,131 16,182,115 94,75
Ÿ ( ) Ÿ 100,000 200,000 60,000 60,000 600,000 100,000 120,000 60,000 120,000 60,000 120,000 120,000 120,000 120,000 120,000 1,200,000 240,000 60,000 60,000 240,000 60,000 120,000 60,000 300,000 120,000
More information<4D F736F F D F8DE98BCA8CA797A78FAC8E9988E397C3835A E815B82CC8A E646F63>
v  fvâ Š   Â~ f   d v v ÊÂd v ÖÑÒ Ò ÍÍ É Âi Ñ Ñ ÇÍ Êˆ Ç Â Ê Ç ÇÊ ÉÊÉÉÂv Î ÈÉÉ u Ê Î ÉÉ ÌÉÊ Ç ÇÂÈÌÈÌÊÓÒÐÐÖÏ ÒÎÌÉ Ê ÈÉÌ vâï ÔÎÖ ÑÎ~ÈÉÊ gî ÂÏ Ñ ÒÔÉÈÉÊ sê Â Ê Â s ÊÊÎfÆÍÉÉÌÊÂÑÑÒÔÊ ÂÊ fêöñðê Ì Ê ÐÔ
More information(WP)
1998 0 a b v g d je jo z i j k l m n o à á â ƒ ã ä å Ý Þ æ ç ˆ è é Š ê ë Œ ì í Ž î 1 ï p ð r ñ s ò t ó u ô f õ x ö ts t' ø ù ' ' š ú û y œ ü ' ý e ž þ ju Ÿ ß ja à, ê, ì, î, ò á, ã, ä, æ, é, ë, ï, ô, ö,,
More informationÍÂ~ÊÂ ÊÊ ÇÍ ÌÉÊÊÌÊÇÍÂÈÍ Ê ÊÌÊÊÍÉÉÉÆÉÉÍÆÂsÊÂ ÌÉÊ~ÊsÊÆÇ ÉÉÊsÆÍÆÊÉ~ÇÈÉÇÉÉÊsÉÆÆjÇÆÇÉÉÉÆÉÉÍ ÆÂ ÊÊÍÉÂÇÍÌÉÊsÊÊÇÉÂÊÍÍÉwÊÊÂÌÉ t ÊwÎÔ ÑÊÔÖÏÑ Ö Ñ ÑÒÔÇ ÈÍÍÇÉÊÊÍÂÇ
ƒêæçídéd ƒêd ÇÇÉÊÂÉv~ÈÍà ƒêdãîâêíéìãdwæíæê uãé ~ÉÇÍÉÌÊ ÊyÎÆÉ ƒêuâ~îwèéæ ƒêd xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ƒêu xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx ƒêë
More information11/27/2003 ( ) 1 UC Berkely FrameNet (FN) ( Frame Semantics (FS) Lexical Unit (LU) Commercial Transaction Fram
11/27/2003 ( ) 1 UC Berkely FrameNet (FN) (http://www.icsi.berkeley.edu/~framenet/) Frame Semantics (FS) Lexical Unit (LU) Commercial Transaction Frame Japanese FrameNet (JFN) FS 2 フレームネットとは何か 狭義にはフレーム意味論(後述)に基づく電子辞書
More informationMicrosoft Word - kawanushi 1.doc
一般国道 205 号 川棚改良 jêu ÊËu ÊÍÍÊ yêéêééuê Ê ÊÊ ~{ÊŠ Ê sê Ê yê ÊvÊu eêu Êv wêæí vêu uvêèív ~{ j Ê u Êu ÿj~êâ ÎzÉÈÂ ÊiÍMOÊud~{ÉÆÍÂÿj~ËÉÈÉ ÓÒÒÖ ÐÎÈÂÊÂÂÂÂuÊ iîíéuê{déæíâ ÇÊÆÉÂjÊÂÊvÈÍÉ Î ÈÌÇÌÇÆ ÈÍ OÊÇÆÎÌÂ ÈÇÆÌÉ
More informationCrossover&Fusion_vol3~4.indd
11 29 11 8 2017 No.01 A B C D E F G H I J K Jaco Pastorius No.02 A B C D E F G H I J K No.03 No.04 A B C D E F G 1 A B C D E F G H 2017 11 8 11 29 No.05 No.06 ABC D E F G A BC D E F G No.07 A B C D E F
More informationfm
ÁÓ ÒÏÏÎ u ªª ª ª ª ª ª ª ª ª ª ªªª h ª ªª ª ªª ªªª ªª ª h ªª ª ª ª ªªªª ª ª ª ªª ªª ªª ª ªª ªª ª ª ª ª ª ª ª ª ª w d ª ªªª ª ª ª «ª ª««sˆ t ª ª«««~ s~ ª ªª ª ª ª ª ªªªªªªªª s s~ ªªªªª ªª ªªª ª ª ªª ª ª
More information