X: other
This document is a placeholder for the language-specific documentation
for X.
Treebank Statistics (UD_Chinese)
There are 1 X lemmas (7%), 849 X types (4%) and 1209 X tokens (1%).
Out of 15 observed tags, the rank of X is: 15 in number of lemmas, 6 in number of types and 13 in number of tokens.
The 10 most frequent X lemmas: _
The 10 most frequent X types: 的、 了、 the、 A、 的話、 NBA、 JR、 of、 B、 Google
The 10 most frequent ambiguous lemmas: _ (NOUN 34043, VERB 20468, PUNCT 17047, PART 13172, PROPN 10741, NUM 6659, ADV 5749, ADP 5424, ADJ 3032, PRON 1776, CONJ 1740, DET 1297, X 1209, AUX 889, SYM 37)
The 10 most frequent ambiguous types: 的 (PART 5503, X 134), 了 (PART 765, X 43, VERB 2), , (PUNCT 7694, X 4, ADV 1, NUM 1), ( (PUNCT 559, X 3), ) (PUNCT 559, X 3), Casey (X 3, PROPN 1), F (X 2, PROPN 1), James (X 2, PROPN 1), °C (X 2, NOUN 1), 之 (PART 247, PRON 23, X 1)
- 的
- 了
- ,
- (
- )
- Casey
- X 3: 她 在 16 歲 時 便 懷孕 , 並 與 她 自 高中 開始 交往 的 男友 Casey Aldridge 訂婚 , 並 誕下 女兒 Maddie Briann Aldridge .
- PROPN 1: 本片 劇情 故事 是 敘述 有 一 位 小 女孩 Casey , 她 由於 實在 太 思念 已經 亡故 的 母親 , 因 此 想 藉由 魔法 來 喚回 母親 的 靈魂 , 但是 她 卻 萬萬 也 沒有 想到 , 會 因為 一 連串 意外 狀況 的 發生 , 而 將 她 一 個 美麗 的 Eve 娃娃 玩具 變成 真人 , 這 位 變成 真人 的 娃娃 給 女孩 的 生活 帶來 許多 趣事 , 她們 兩 者 之間 也 培養 出 彼此 關心 的 真情 , Eve 的 出現 從此 改變 Casey 的 生活 , 使得 原本 有點 孤僻 的 Casey 開始 有 了 全新 的 體驗 !
- F
- James
- °C
- 之
Morphology
The form / lemma ratio of X is 849.000000 (the average of all parts of speech is 1499.200000).
The 1st highest number of forms (849) was observed with the lemma “_”: #A, #B, #C, #D, #E, #F, #G, $10,000, $5,000, (, ), ,, -an, 1134A, 1134B, 160cm, 1B, 244X, 281M, 30°, 36A, 36B, 3D, 3M45, 4C, 50°, 6F, 777-200LR, 85A, A, A-AVG, A1, A2, A319, A320, A321, A330, A340, A340-500, A380, AAC, ABC, AC, AEG, AEK, AFD, AI, AK-47, AM, AMORC, Aankhen, Abante, Abdurrahman, Activision, Adilabad, Adisumarmo, Admiral, Advance, Aero, AeroMobile, Aethra, Ages, Airlines, Airport, Aldridge, Aleksej, Alliance, Alpha, Alyssum, Ambanja, Android, Anggun, Aniran, Anne, Antarctic, Argonauts, Arrested, Arts, Arwadi, Arzacq-Arraziguet, Ashram, Auld, Auteuil, Avenue, Aviation, Aviv, B, B6, BA, BBC, BHCs, BT, Bad, Badger, Baldwin, Ballklub, Bank, Baronet, Barros, Barsbold, Beatles, Beaune, Beaune-Sud, Beckham, Before, Beinasco, Belgaum, Bellagio, Berg, Berne-Belp, Besar, Birgeneau, Blake, Books, Boot, Boy, Brett, Brian, Briann, Bronfenbrenner, Brough, Bruce, Bud, Buddy, Button, C, CARET, CBE, CCTV, CEC, CET, CI-7957, CIT400B, CMS, CNZZ, CP, CPU, CRH380B, CRH380B-002, CRH380C, CRYPTON, CSA, CSP, Caen, Calling, Campaign, Campostoma, Canal, Cannon, Capital, Caroline, Casey, Castle, Cathedral, Catherine, Center, Cerro, Chapman, Chase, Chatterjee, Chau, Christ, Christopher, Chrome, Church, Churchill, City, Claritin, Clark, Close, Cohen, Colchis, Color, Comic, Company, Congress, Connecticut, Conroy, Cornell, Corner, Cost, Costa, Council, County, Courtney, Cushing, Cálida, DBE, DC, DC-10, DDC, DFH2, DJ, DMFC, DNA, DS, DSM, Daisuke, Dakota, Dame, Damrosch, Daria, Dark, Dart, Dawn, DeSanctis, Dennis, Derby, Development, Dialogue, Dick, Digi, DigiBook, Direct, District, Divisione, Dog, Dolichos, Doodle, Dorian, Dossing, Dragon, Drayton, Durst, Dyer, E4, E47, E55, E6, EP, EPA, ET, EXE, Eastern, Eden, El, Electronic, Elena, Elijah, Elisabeth, Elite, Ellie, Elliot, Eminescu, End, Entertainment, Eola, Epithema, Epstein, Estate, Europipe, Eve, Evolution, Expedition, F, F-15A, F-16A, FC, FLY, FSB, FUDOSI, Falls, Family, Fernando, Field, Films, Finn, Firefox, Firozpur, Fleet, Fook, Football, Forever, Fortran, Fox, Frank, Franpipe, Fred, Frito-Lay, Fund, G, G04A, GB, GCMG, GCVO, GDP, GMP, GTO, Galliano, Gamal, Game, Gargoyles, Gear, Geophysical, German, Ghost, Giuliano, Globidens, Golden, Good, Goodnow, Google, Government, Grant, Gravion, Grazia, Greater, Greenbelt, Greenville, Groening, Gromaget, Ground, Group, Guariglia, H1N1, H7N9, HIV, HP, Halifax, Hall, Hannigan, Harrison, Harry, Harvey, Hau, Haven, HeH, Herrera, Herschel, Higher, Hillman, Holy, Hondt, Hopkins, Housing, Hudson, Humphrey, Hunt, I, IAU, IB, IEA, IGBT, IGY, II, III, IP, IPark, IRF, IUPAC, IV, Iglesia, Illumination, In, Inc, India, Informer, Ingeri, Innocence, International, Iron, Isartor, Ischl, It’s, Ivan, JAXA, JPL, JR, JTB, James, Jason, Jay, Jazz, Jean, Jeff, Jo, John, Johnson, Justin, Juvisy, K, KBS, KINGFISHER, KKR, Kansas, Karaköy, Karin, Karlstor, Kate, Katherine, Kekal, Kenway, Kilpatrick, Kinross, Klaus, Knudstrup, Koffka, Kurnool, Kurt, Kuskokwim, L, LCD, LD50, LED, La, Lake, Langdon, Langford, Language, Last, Leaf, Lee, Lees, Lennart, Lethal, Liaoxipterus, Likes, Lilim, Linux, Liu, Live, Locked, Lomidine, Lotz, Lou, Love, Low, Lowell, Lucy, Luis, Luna, M, M1, M1912, M2, M2009, MD-11, MM, MS, MacLean, Maddie, Magic, Magma, MallRide, Mamaia, Man, Manea, Maolan, Mappy, Maria, Mario, Market, Marshlands, Martin, Mary, Mayflower, Meadow, Mechernich, Medical, Menachem, Merina, Metress, Meyers, Michaelerkirche, Micro, Micro-USM, Middle, Mihai, Mintz, Mitchell, Modern, Moeritherium, Mogens, Money, Monsters, Montana, Moss, Mukhya, Multitier, Mundell, Museum, My, Myers, N126, N24, N299, NASA, NBA, NC, NCAA, NDS, NET, NFC, NHK, NIST, NX-01, Name, Nanocells, Natasha, National, Navy’s, Nazionale, Neluset, Neverwhere, New, Niarchos, Nibiru, Nicea, Nikon, Nirmal, Norman, North, Novogrudok, O., ONZ, ORI, OROCHI, OVA, Ohio, Omega, Omniworld, Online, Opus, Orjan, Orkney, Oryx, Ospatulus, Otto, P-700, P2O5, PASMO, PFA, PLANES, PSP, PV, PVC, Paleorhinus, Pangjiabu, Papa, Park, Paskievich, Pau, Paul, Pedro, Penthouse, Perouse, Persson, Perth, Phapheng, Phil, Philippa, Phillips, Piano, Pier, Pinerolo, Piniella, Pinus, Pisapia, Pittsburghia, Place, PlanetShanghai, PlayStation, Playgirl, Police, Pre-rendering, Presbyterian, Press, Primary, Psychology, Pukaki, Pulau, Purma, QSO, Quaid, Quartet, Quentin, Quest, R1, RBK, RBS, RIAA, Radzymin, Railway, Randy, Record, Recordon, Regan, Reserve, Return, Review, RhCl3, Riff, Rinchen, River, Rivers, Rize, Robert, Roble, Rocha, Rolf, Rosenborg, Rossabi, Ruger, Russell, Rutherford, S, S-IVB, S4, SAT, SBE, SEC, SS, ST, STIF, Sabarmati, Safari, Safeway, Salomon, Sam, San, Sankar, Sara, Sarianidi, Savannah, School, Schuchat, Scorpiothyrsus, Sea, Secobarbital, Secondary, Seemann, Sendlinger, SensMe, Shame, Sharon, Sheegog, Sheinkin, Side, Simon, Snipes, Social, Sofi, Soobedars, Soviet, Spector, Spirit, Spittel, Sportsnet, Standard, Stanton, Star, Stars, Station, Statpipe, Stavros, Steinbeck, Stephen, Steven, Stonewall, Story, Strait, Street, Streymoy, Stuart, Stutsman, Suica, Sunset, Suzuki, Syahrin, Sōya, T, TAAG, TB, TBS, TF, TF38, TNM, TVB, TVS-5, Tau, Technology, Tel, Texas, Theodor, Theropogon, Thomas, Tiant, Timati, Time, Tizard, Tor, Train, Tru, Tsang, Tu-16, Tweddle, Twisty, Tyler, U15, U21, UA, UMLS, USPHS, Uhler-Phillips, Un, Union, Unit, University, Upanishad, Us, Utricularia, V, VOIP, VVVF, Valla, Varginha, Victoria, Viktor, Villa, Volantis, WHO, WTA, Walker, Walter, Washington, Wesley, West, Westmeath, Wheeler, Wii, William, Wing, Winston, Wireless, Woman, Wood, Woodside, World, Wyclef, XII, Y2K, Year, YouTube, Young, Your, Youth, Zeepipe, académie, active, al-Banna, and, app, architecture, armandii, asteroid, bar, biflorus, bransoni, bug, can, ceyhan, chehbeurameuri, clf, copper, de, director, double, e, earth, effect, entity, f(x), g(x), gbest, hangar, hear, iPhone, iPod, iTunes, j, jambu, justice, km/h, laurifolia, liability, loratadin, managing, morus, mystery, neé, nickel, no, of, on, one, ornatum, p, pbest, peronismo, rhythm, rock, room, sandwithii, scream, scree, secretary, shelters, silver, space, study, supply, the, to, touch, trail, truncatulus, view, white, x, you, zone, °C, ð, þ, θ, 三、, 下剋上高潮, 之, 了, 卡拉OK, 台, 呀, 呢, 啊, 嗎, 四, 夏茸切哇, 夏茸穹哇, 寬, 是, 為, 班禪, 發射, 的, 的話, 第四, 而已, 達賴, 額爾德尼.
X occurs with 2 features: Mood (8; 1% instances), Aspect (1; 0% instances)
X occurs with 2 feature-value pairs: Aspect=Perf, Mood=Inter
X occurs with 3 feature combinations.
The most frequent feature combination is _ (1200 tokens).
Examples: 的、 了、 the、 A、 的話、 NBA、 JR、 of、 B、 Google
Relations
X nodes are attached to their parents using 16 different relations: foreign (322; 27% instances), appos (246; 20% instances), discourse (194; 16% instances), nmod (146; 12% instances), nsubj (80; 7% instances), dobj (56; 5% instances), conj (45; 4% instances), case:suff (36; 3% instances), dep (34; 3% instances), det (29; 2% instances), root (8; 1% instances), nummod (5; 0% instances), acl (3; 0% instances), advmod (2; 0% instances), amod (2; 0% instances), ccomp (1; 0% instances)
Parents of X nodes belong to 10 different parts of speech: X (366; 30% instances), VERB (333; 28% instances), NOUN (244; 20% instances), PART (118; 10% instances), PROPN (81; 7% instances), ADJ (44; 4% instances), NUM (12; 1% instances), ROOT (8; 1% instances), ADP (2; 0% instances), PRON (1; 0% instances)
752 (62%) X nodes are leaves.
91 (8%) X nodes have one child.
146 (12%) X nodes have two children.
220 (18%) X nodes have three or more children.
The highest child degree of a X node is 14.
Children of X nodes are attached using 21 different relations: punct (580; 46% instances), foreign (319; 25% instances), appos (59; 5% instances), nmod (53; 4% instances), conj (46; 4% instances), case (29; 2% instances), case:dec (29; 2% instances), cc (24; 2% instances), cop (17; 1% instances), det (17; 1% instances), nsubj (16; 1% instances), dep (14; 1% instances), nummod (14; 1% instances), acl (13; 1% instances), acl:relcl (10; 1% instances), amod (7; 1% instances), dislocated (2; 0% instances), nmod:tmod (2; 0% instances), advmod (1; 0% instances), csubj (1; 0% instances), dobj (1; 0% instances)
Children of X nodes belong to 14 different parts of speech: PUNCT (577; 46% instances), X (366; 29% instances), NOUN (101; 8% instances), PART (57; 5% instances), ADP (38; 3% instances), VERB (37; 3% instances), CONJ (23; 2% instances), NUM (23; 2% instances), PROPN (17; 1% instances), ADJ (8; 1% instances), SYM (3; 0% instances), PRON (2; 0% instances), ADV (1; 0% instances), DET (1; 0% instances)
X in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fi] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]