Whole_patient (Cause_to_fragment)

Stats

Descriptors

Neighborhood

Legend = verbs; nouns; adjectives; proper noun; french

Frame Element Text

his son Seb 's skull. Mike 's skull. his skull. the skulls of two new born babies in her care. his jaw. It. their clothes. their garments. the golden cloth. his garments. their necks. her neck. the garnet. Pencils. it. it. them. them. it. the glass. it. the lotus-stemmed wrist. the offender 's neck. a twig. the bread. the bread. the egg. ostrich eggs. their eggs. the ice. an ice hammer. such cereal grains. them. the seal. the shop windows. the tower window. the car windows. the roots. the blue vase Auntie Dolly gave us for christmas. a precious cup. your fingers. the fish. the last tiny piece of poppadam. the carcass. a chair. bottles. one rock. it. a tumbler. the glass. The bone. His pristine shield with the glittering cross. the material. The mirror. the odd quarry tile. every stick of rock. wood. the SG. furniture. the glass. a hazelnut tossed up in the air at five hundred yards. the stone. Stones too large to pass through the Amplatz sheath. the DNA of human bladder tumour cells. The tesserae. all its glass. the glass. the mirror. them. the whole thing. each arm and leg. the victim 's limbs. his limbs. every stick of rock. the rear window. the car window. bottles and glasses. glass. A window. their windows. A window. the glass in the nearest cases. their beer glasses. a glass partition. a glass. it. And the little bear 's chair. it. front windows of three cars parked in Holybourne. a window. the windows of the Guildhall. the teapot. it. it. his shoulder. the ice. their skulls. THE rear window of a VW Polo parked in Orchard Lane , Alton on Saturday night. the concrete holding the seat in place. the egg. all the house DJ 's records instead of plates. the skull. all his crockery. his hand. a pane in next door 's greenhouse. each half. a large proportion of the dolphins it hunted. the leaf. a tinder-old branch. it. the vegetables. Worn and defective shoes. the oviduct. them. the green fronds. a leg of Szechuan duck , which. it. the notes. all the rubbish at her Malibu home. my garbage. the material. more than a thousand trees. the thing. them. a man. a cushion cover. it. him. her beautiful laughing throat. a horse. him. the blue civil rights banner. French flags. the colobus. the hung sheets dotted with coal-smuts. Karpov. a biscuit packet. a lion. the piece of paper he called the Thief Treaty. the hare. it. a blanket. one of Mum 's dusters. the thin material. telephone books. them. the plans. you. the paper. it. him. a paper. the books. the tickets. Ovid. you. the veil. some newspaper. his poster -- ` Rich Tories are the real poll tax parasites " --. all his papers. an old vest. the sheet. a brochure. the dead creatures. his finals papers. McMurdo 's statement. the crust. her head. the monster. every RNA we have wanted to. its head. wood. its skull. at least half-a-dozen pages of unpaid drinks. the American flag. a telephone directory. this letter , and the two or three which followed it ,. the letter. the others. its banner. the pages. the plan. the document. pictures of President Ceausescu. the letter. the pictur. The letter. it. them. the big pieces. photos of the Pope. each tree. ration books. what was left of his linen. the unfavourable information folder. her list. them. the prescription. the sheet. them. his manuscripts and books.

Frame Element Treetagged

NNson NPSeb NNs NNskull NPMike NNs NNskull NNskull NNskull JJnew VVbear NNbaby NNcare NNjaw NNclothe NNgarment JJgolden NNcloth NNgarment NNneck NNneck NNgarnet NNpencil NNglass VVlotus-stemmed NNwrist NNoffender NNs NNneck NNtwig NNbread NNbread NNegg NNostrich NNegg NNegg NNice NNice NNhammer JJsuch NNcereal NNgrain NNseal NNshop NNwindow NNtower NNwindow NNcar NNwindow NNroot JJblue NNvase NNauntie NPDolly VVgive NPChristmas JJprecious NNcup NNfinger NNfish JJlast JJtiny NNpiece NNpoppadam NNcarcass NNchair NNbottle NNrock NNtumbler NNglass NNbone JJpristine NNshield VVglitter NNcross NNmaterial NNmirror JJodd NNquarry NNtile NNstick NNrock NNwood NPSG NNfurniture NNglass NNhazelnut VVtoss RPup NNair NNyard NNstone NNstone JJlarge VVpass NPAmplatz NNsheath NNDNA JJhuman NNbladder NNtumour NNcell NNtessera NNglass NNglass NNmirror JJwhole NNthing NNarm NNleg NNvictim NNs NNlimb NNlimb NNstick NNrock JJrear NNwindow NNcar NNwindow NNbottle NNglass NNglass NNwindow NNwindow NNwindow NNglass JJnear NNcase NNbeer NNglass NNglass NNpartition NNglass JJlittle NNbear NNs NNchair JJfront NNwindow NNcar VVpark NPHolybourne NNwindow NNwindow NNGuildhall NNteapot NNshoulder NNice NNskull JJrear NNwindow NPVW NPPolo VVpark NPOrchard NPLane NPAlton NPSaturday NNnight NNconcrete VVhold NNseat NNplace NNegg NNhouse NPDJ VVrecord NNplate NNskull NNcrockery NNhand NNpane JJnext NNdoor NNs NNgreenhouse NNhalf JJlarge NNproportion NNdolphin VVhunt NNleaf JJtinder-old NNbranch NNvegetable JJworn JJdefective NNshoe NNoviduct JJgreen NNfrond NNleg NPSzechuan NNduck NNnote NNrubbish NPMalibu NNhome NNgarbage NNmaterial JJmore NNtree NNthing NNman NNcushion NNcover JJbeautiful JJlaughing NNthroat NNhorse JJblue JJcivil NNright NNbanner JJFrench NNflagstone NNcolobus JJhung NNsheet VVdot NNcoal-smuts NPKarpov NNbiscuit NNpacket NNlion NNpiece NNpaper VVcall NNthief NPTreaty NNhare NNblanket JJmum NNduster JJthin NNmaterial NNtelephone NNbook NNplan NNpaper NNpaper NNbook NNticket NPOvid NNveil NNnewspaper NNposter NPRich NPTories JJreal NNpoll NNtax NNparasite NNpaper JJold NNvest NNsheet NNbrochure JJdead NNcreature NNfinal NNpaper NPMcmurdo NNs NNstatement NNcrust NNhead NNmonster NPRNA VVwant NNhead NNwood NNskull JJleast JJhalf-a-dozen NNpage JJunpaid NNdrink JJAmerican NNflagstone NNtelephone NNdirectory NNletter VVfollow NNletter NNother NNbanner NNpage NNplan NNdocument NNpicture NPPresident NPCeausescu NNletter NNpictur NNletter JJbig NNpiece NNphoto NPPope NNtree NNration NNbook VVleave NNlinen JJunfavourable NNinformation NNfolder NNlist NNprescription NNsheet NNmanuscript NNbook

Frame Element Clusters Terms

Cluster #3 : 25 instances

Cluster #5 : 28 instances

Cluster #17 : 50 instances

Cluster #43 : 16 instances

Frame Element Clusters

Cluster #3 25 instances

Cluster #5 28 instances

Cluster #17 50 instances

Cluster #43 16 instances