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Treebank Statistics: UD_German-PUD: POS Tags: PROPN

There are 1 PROPN lemmas (5%), 898 PROPN types (13%) and 1219 PROPN tokens (6%). Out of 16 observed tags, the rank of PROPN is: 11 in number of lemmas, 4 in number of types and 7 in number of tokens.

The 10 most frequent PROPN lemmas: _

The 10 most frequent PROPN types: Chr., China, Trump, USA, Frankreich, Joseph, US, Hong, Paris, Qing

The 10 most frequent ambiguous lemmas: _ (NOUN 4261, PUNCT 2767, DET 2515, VERB 1913, ADP 1715, ADJ 1387, PROPN 1219, PRON 1185, ADV 1139, AUX 950, CCONJ 743, NUM 352, SCONJ 326, PART 144, X 31, SYM 22)

The 10 most frequent ambiguous types: US (PROPN 6, ADJ 1), Erde (PROPN 3, NOUN 1), de (ADP 3, PROPN 2), North (NOUN 4, PROPN 2), Gold (NOUN 2, PROPN 1), Karibik (NOUN 1, PROPN 1), Lincoln (NOUN 1, PROPN 1), MPS (NOUN 1, PROPN 1), Nord (NOUN 1, PROPN 1), Nordsee (NOUN 1, PROPN 1)

Morphology

The form / lemma ratio of PROPN is 898.000000 (the average of all parts of speech is 307.454545).

The 1st highest number of forms (898) was observed with the lemma “_”: AKP, Abakumow, Abbotsford, Addenbrooke’s, Adidas, Adnan, Adria, Afrika, Afrikas, Agora, Aires, Alaska, Albanien, Albaniens, Albany, Aldrin, Alejandra, Alexander, Alice, Alpen, Alvarez, Amazon, America, Amerika, Amerikas, Amin, Amnesty, Amurrus, Amyntas, Anaya, Anden, Andes, Andre, Andrew, Andy, Angel, Angeles, Anne, Anselmi, Anshi, Antarktis, Antionius, Antipas, Antonio, Antonius, Aoun, Apple, Apulien, Apuliens, Armana, Asien, Asty, Athen, Athina, Atkinson, Audrey, Augustus, Austerlitz, Australia, Australien, Australiens, Avery, Aviva, Avro, BA, BBC, BID, Badarpur, Baja, Balkan, Bangkok, Bantu, Barratt, Barrie, Barroso, Barrosos, Basilikata, Bass, Belgrad, Bellingham, Bellinghausen, Benoît, Bergeron, Berias, Bernard, Beust, Beverly, Bian, Bill, Blindleia, Bloch, Blunt, Bob, Boemer, Bogarts, Bogd, Bonaparte, Bono, Bosporus, Bouchard, Bransfield, Brant, Brasilien, Breasted, Bremen, Brexit, Brice, Brisbane, Britannien, Brooks, Bruce, Bruno, Bruyn, Buddha, Buena, Buenos, Burgoyne, Bush, Byzantion, Báñez, CBC, CNN, CRTC, CTV, California, Cambridgeshire, Campbell, Caplan, Capua, Caracalla, Carangis, Carcassonne, Carlo, Carlos, Carolina, Carson, Carter, Castelfranco, Catalano, Cecily, Chamberlain, Chandler, China, Chinas, Chr., Chris, Christian, Christopher, Churchill, Cifuentes, Ciskaukasien, Claret, Clinton, Clintons, Clyde, Colorado, Columbia, Columbus, Comey, Conte, Corona, Corrado, Cospedal, Cotton, Cranach, Cristina, Crouch, Cuaron, Cumae, Cumberland, Curie, Curio, Cäcilien, Cäsar, Cäsars, DFB, Danewerk, Darnand, Dati, David, Davidson, Davis, Dean, Decca, Dee, Delhi, Denver, Deutschland, Di, Diess, Dietrich, Disibodenberg, Disney, Disneys, Domenico, Donald, Donau, Dorset, Doss, Douglas, Duffy, Durán, Dänemarks, Dündar, ECB, ETA, EU, Edgars, Edinburgh, Egan, Eibingen, Elaine, Elliott, Emicro, Endurance, England, Ennio, Enrique, Eon, Erde, Erdogan, Erdogans, Erik, Ernest, Errani, Este, Eurasiens, Europa, Europas, Ewan, Eward, ExxonMobil, F1, FSLN, Facebook, Fallon, Federico, Felipe, Fellini, Figaro, Finnland, Fiorello, Flensburg, Florence, Florida, Fontvieille, Force, Ford, Franciscans, Frank, Frankreich, Frankreichs, Franz, Franziskus, Freeman, Fátima, GCA, GCHQ, GEMA, GM, Gamson, Garonne, Garrard, Garth, Gaudens, Gaudí, Gaulle, Gaunt, Gay, Georg, George, Georges, Georgetown, Germaine, Geronimo, Gerry, Geyer, Gezer, Gezira, Gillard, Giovanni, Glasgow, Glenda, Glinda, Gloria, Goffredo, Gold, Gomery, Gongmin, González, Google, Gordon, Goryeo, Gott, Grafton, Gravity, Grenville, Griechenland, Griechenlands, Großbritannien, Großmähren, Guam, Guangzhou, Guilbeault, Günter, Halifax, Hallström, Hammersmith, Hans, Harbor, Hariri, Harley, Harvard, Haute, Hechler, Heinrich, Helena, Henry, Hepburn, Herbert, Herodes, Herodias, Herzl, Hichcocks, Hillary, Hills, Hillsborough, Hispania, Hispanias, Hitchcock, Hitchcocks, Hitler, Holden, Hollywood, Homer, Hong, Hongkong, Hopley, Hortefeux, Horton, Huawei, Hubei, Hudson, Hugh, Humblebums, Humphrey, Hunan, Husum, IAG, IRENA, Ieyasu, Indiana, Indien, Inn, International, Irène, Isabella, Islam, Island, Isner, Israel, Istanbul, Italien, Italiens, Jadaan, James, Japan, Japans, Jasmine, Jason, Javier, Jeff, Jeffrey, Jemen, Jennings, Jerusalem, Jesse, Jesus, Jim, Jimmy, Jin, Joan, Joans, Joe, John, Johnny, Johnson, Jokowi, Joliot, Joseph, Juan, Julia, Julian, Jutting, KFC, Kadesh, Kahlina, Kairo, Kalabriens, Kamchatka, Kamerun, Kameruns, Kanada, Kansas, Kapstadt, Kapstadts, Karel, Karibik, Karl, Karnak, Katharina, Kaukasus, Keira, Kenseth, Kentucky, Kenya, Kerber, Kesha, Kesteven, Khan, Khanzir, Khitan, Khitans, Kiera, Kigali, Kiki, Kilijaarm, Kilimandscharo, Kim, King, Kipling, Kiplings, Kirriemuir, Klein, Knightley, Knott, Kong, Kongos, Kongs, Kontinentaleuropa, Kori, Korinth, Kramer, Krasnojarsk, Krim, Kristiansand, Kristin, Krätschmer, Kuba, Kuo, Kven, Köln, Kühn, LUISS, La, LaBeouf, LaBrocca, Lahore, Lamarr, Lamarrs, Larry, Lasse, Latium, Laurent, Lee, Leive, Lennox, Lenny, Levitt, Liao, Lillesand, Lin, Linares, Lincoln, Lindsay, London, Looper, Louis, Lovings, Lucas, Luis, Lumumbashi, Luther, Lyvet, MGB, MPS, Madrid, MahaNakhon, Mailand, Mailis, Malediven, Mandl, Marat, Marcelle, Marcus, Marengo, Margaret, Margarete, Margeret, Maria, Mark, Marokko, Maroto, Marr, Martin, Marvel, Mate, May, Maya, Mazedonien, McGregor, McNeilly, Megabazos, Mei, Meiji, Melania, Merdingen, Mexiko, Meyer, Meza, Meänkili, Miami, Michael, Microsoft, Mildred, Millican, Mishima, Mississippi, Mohammed, Mojmír, Molise, Monaco, Mongolei, Monte, Montreal, Morgan, Morricone, Moscone, Muppets, Murphy, Mähren, Mômone, NASCAR, NHS, Nachkriegsbelgien, Nanking, Napoleon, Nashville, Nato, Navy, Negans, Neufrankreichs, Neuguinea, Nevadas, Newton, Nicholas, Nicolai, Nicolas, Niederlande, Niederlanden, Niederösterreichs, Nil, Nils, Nitra, NoMa, Nord, Nordalgerien, Nordamerika, Nordirland, Nordkorea, Nordsee, Nordwesteuropa, Norma, Norman, North, Northampton, Norwegen, Nottingham, Obama, Obamas, Obermarsberg, Odi, Ohio, Olivia, Olney, Ontario, Opium, Osborne, Oskar, Osmanen, Ostafrika, Ostmelanesier, Oswald, Ouvrière, Ozean, Packham, Paionien, Paire, Pall, Palma, Palmer, Panama, Panvalker, Papua, Paris, Parker, Parma, Passera, Paul, Pazifik, Pearl, Pebe, Pedro, Peking, Pekings, Peloponnes, Pelucca, Peniston, Persien, Peter, Petrassi, Petterson, Petén, Philip, Philipp, Philippinen, Piaf, Piggys, Pilatus, Ping, Pintado, Pithekoussai, Pjöngjang, Plano, Plantagenet, Platon, Plaza, Pluvoise, Po, Polen, Politti, Pompeius, Poole, Portugal, Potomac, Prabowo, Prasad, Price, Puerto, Pugh, Pughs, Pulau, Punta, Pyrrhus, Qing, Quebec, RECO, RHS, RSPB, Rachel, Rachida, Rafferty, Raffertys, Rai, Rambler, Rambow, Ramses, Rasa, Rastislav, Rastiz, Reagan, Reddit, Reichenbach, Remis, Rhein, Rhone, Rian, Rich, Richard, Rico, Rio, Robinson, Rocco, Rogers, Rom, Roma, Romanow, Romeo, Rona, Ronas, Rosane, Rossi, Rudyard, Rumänien, Rupertsberg, Russland, Russlands, SS, Sabrina, Sade, Sahara, Sahel, Saint, Sakhalin, Salas, Salerno, Sallyanne, Salman, Salzburg, Samnium, Samsungs, San, Saqib, Sara, Sarah, Saratoga, Sarkozy, SaskTel, Saul, Schenck, Schlei, Schulman, Schweden, Schweiz, Scotland, Scotsman, Scott, Scritti, Scythia, Seagal, Segel, Serena, Sesto, Seychellen, Shackleton, Shakespeare, Shanghai, Shen, Shenzhen, Sheppard, Shikai, Shōwa, Sibirien, Simon, Siri, Sizilien, Skylark, Slack, Slate, Slowakei, Smaragdis, Snapchat, Snowman, Solheim, Somerset, Sony, Southsea, Spanien, Sparta, Spotify, Springer, Stage, Stalin, Starlin, Stephen, Sternlieb, Stoller, Strathearn, Struppi, Style, Subanto, Sukhothai, Sulla, Sunderland, Sánchez, Südafrika, Südamerika, Südbaden, Süditalien, Südkamerun, Südostasien, Südosteuropas, T, Taiga, Talmadge, Tansania, Tapie, Tarlo, Telekom, Tennessee, Tesco, Tesla, Tessin, Texas, Thailand, Thanos, Thermopylae, Thessalien, Thomas, Thompson, Thrakien, Thutmosis, Tiberius, Tientsin, Tim, Tina, Tioman, Tkugawa, Tolles, Tom, Tories, Toronto, Transkaukasien, Tre, Trix, Trudeau, Trump, Trumps, Tschechoslowakai, Tulcea, Tunip, Twitter, Türkei, UN, US, USA, Uaxactun, Uber, Ukraine, Ullrich, Universal, Unterwasserwelt, VW, Valentino, Vance, Vantage, Vega, Venedig, Veneto, Versailles, Viguier, Villeneuve, Vine, Von, Wales, Walt, Walter, Wang, Wangs, Washington, Watt, Weiss, Weller, Wells, Westindien, Wheeler, Wilkes, William, Williams, Willis, Wimbledon, Winham, Winston, Winstone, Winterkorn, Winteruniversiade, Wintour, Wladiwostok, Wolmar, Woods, Wright, Yannis, Yas, Yazidi, Yerba, York, YouTube, Yuan, Yucatán, Yudhoyono, Yves, Z., ZEIT, Zay, Zayion, Zettel’s, Zexu, Zimmer, Zuckerberg, Záhorie, de, des, dpa, Ángel, Ägypten, Évole, Österreich, Ötzi.

PROPN occurs with 4 features: Number (1219; 100% instances), Person (1219; 100% instances), Case (1217; 100% instances), Gender (1118; 92% instances)

PROPN occurs with 10 feature-value pairs: Case=Acc, Case=Dat, Case=Gen, Case=Nom, Gender=Fem, Gender=Masc, Gender=Neut, Number=Plur, Number=Sing, Person=3

PROPN occurs with 30 feature combinations. The most frequent feature combination is Case=Nom|Gender=Masc|Number=Sing|Person=3 (295 tokens). Examples: Trump, Donald, Joseph, John, Mishima, Paul, Rafferty, Seagal, Shen, Stephen

Relations

PROPN nodes are attached to their parents using 17 different relations: nsubj (235; 19% instances), nmod (229; 19% instances), flat:name (164; 13% instances), appos (148; 12% instances), obl (146; 12% instances), compound (92; 8% instances), conj (86; 7% instances), obj (47; 4% instances), nmod:poss (26; 2% instances), nsubj:pass (24; 2% instances), iobj (10; 1% instances), root (5; 0% instances), ccomp (2; 0% instances), parataxis (2; 0% instances), advmod (1; 0% instances), flat (1; 0% instances), xcomp (1; 0% instances)

Parents of PROPN nodes belong to 10 different parts of speech: NOUN (488; 40% instances), VERB (410; 34% instances), PROPN (263; 22% instances), ADJ (29; 2% instances), NUM (8; 1% instances), AUX (7; 1% instances), DET (5; 0% instances), (5; 0% instances), ADV (2; 0% instances), PRON (2; 0% instances)

479 (39%) PROPN nodes are leaves.

452 (37%) PROPN nodes have one child.

195 (16%) PROPN nodes have two children.

93 (8%) PROPN nodes have three or more children.

The highest child degree of a PROPN node is 7.

Children of PROPN nodes are attached using 27 different relations: case (339; 29% instances), punct (177; 15% instances), flat:name (164; 14% instances), det (122; 10% instances), conj (89; 8% instances), cc (71; 6% instances), appos (54; 5% instances), amod (27; 2% instances), acl:relcl (25; 2% instances), nmod (23; 2% instances), compound (21; 2% instances), advmod (18; 2% instances), cop (7; 1% instances), acl (5; 0% instances), nsubj (5; 0% instances), orphan (5; 0% instances), cc:preconj (2; 0% instances), ccomp (2; 0% instances), flat (2; 0% instances), nmod:poss (2; 0% instances), obl:tmod (2; 0% instances), aux:pass (1; 0% instances), det:predet (1; 0% instances), mark (1; 0% instances), nsubj:pass (1; 0% instances), obl (1; 0% instances), parataxis (1; 0% instances)

Children of PROPN nodes belong to 15 different parts of speech: ADP (340; 29% instances), PROPN (263; 23% instances), PUNCT (177; 15% instances), DET (124; 11% instances), NOUN (98; 8% instances), CCONJ (74; 6% instances), ADJ (32; 3% instances), VERB (26; 2% instances), ADV (18; 2% instances), AUX (8; 1% instances), NUM (2; 0% instances), PRON (2; 0% instances), X (2; 0% instances), SCONJ (1; 0% instances), SYM (1; 0% instances)