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This page pertains to UD version 2.

Treebank Statistics: UD_Portuguese-PUD: POS Tags: PROPN

There are 1 PROPN lemmas (4%), 965 PROPN types (16%) and 1352 PROPN tokens (6%). Out of 14 observed tags, the rank of PROPN is: 10 in number of lemmas, 3 in number of types and 7 in number of tokens.

The 10 most frequent PROPN lemmas: _

The 10 most frequent PROPN types: China, Trump, América, the, Austrália, Europa, França, Grécia, Hong, Itália

The 10 most frequent ambiguous lemmas: _ (NOUN 4636, ADP 2571, PUNCT 2547, VERB 2512, DET 2070, ADJ 1554, PROPN 1352, PRON 910, ADV 841, CCONJ 578, NUM 471, AUX 328, SYM 34, X 9)

The 10 most frequent ambiguous types: (PUNCT 4, PROPN 3), - (PUNCT 63, PROPN 2), Balcãs (PROPN 2, NOUN 1), Carolina (PROPN 2, NOUN 1), a (DET 975, ADP 279, PRON 8, PROPN 2), and (PROPN 2, NOUN 1), de (ADP 1733, PROPN 1), Este (DET 6, PRON 2, PROPN 1), Mundo (NOUN 1, PROPN 1), Saara (NOUN 1, PROPN 1)

Morphology

The form / lemma ratio of PROPN is 965.000000 (the average of all parts of speech is 228.814815).

The 1st highest number of forms (965) was observed with the lemma “_”: &, ‘, -, AKP, Abakumov, Abbotsford, Academy, Addenbrooke, Adidas, Adnan, Aires, Alasca, Albany, Albânia, Aldrin, Alejandra, Alemanha, Alexander, Alice, Alpes, Alvarez, Amarna, Amazon, America, American, Amin, Amintas, Amurru, América, Américas, Anaya, Andre, Andrew, Andy, Angel, Angeles, Anne, Anselmi, Anshi, Antillas, Antipas, Antonio, Antártica, Antônio, Anyway, Aoun, Apple, Approach, Apúlia, Argélia, Art, Associated, Association, Asty, Atenas, Athina, Atkinson, Audrey, Augusto, Austerlitz, Austrália, Avery, Aviva, Avro, B.C., BA, BBC, BID, Badarpur, Balcãs, Bangkok, Bank, Barratt, Barrie, Barón, Basilicata, Bass, Belgrado, Bellingham, Bellingshausen, Benoît, Bergeron, Beria, Berlim, Bernard, Beust, Beverly, Bian, Bill, Billboard, Bizâncio, Blindleia, Bloch, Blunt, Bob, Boeing, Boemer, Bogart, Bogd, Bonaparte, Bonds, Bono, Bouchard, Brand, Bransfield, Brant, Brasil, Breaking, Breasted, Bremen, Brexit, Brice, Brisbane, Brisbane’s, Brooks, Bruce, Bruno, Bruyn, Buck, Buena, Buenos, Bund, Burgoyne, Bush, Báñez, Bélgica, Bósforo, CBC, CBS, CGI, CNN, CRTC, CTV, Cairo, Califórnia, Cambridgeshire, Campbell, Canadá, Cantão, Capitol, Caplan, Capua, Caracala, Carangi, Carcassone, Caribe, Caribs, Carlo, Carlos, Carolina, Carson, Carter, Castelfranco, Catalano, Catarina, Cecelia, Cecília, Chamberlain, Chandler, Chaper, Checoslováquia, Chilia, China, Chris, Christian, Churchill, Circuit, Ciscaucásia, Claret, Clinton, Clyde, Colombo, Colorado, Comey, Company, Consumer, Conte, Controlled, Coreia, Corinto, Corona, Corrado, Cospedal, Cotton, Courant, Cranach, Crimeia, Cristina, Cristóvão, Crouch, Cuarón, Cuba, Cumae, Cumberland, Cup, Curie, Curio, Cáucaso, César, Cítia, Córsega, DFB, Danevirke, Danúbio, Darnand, Dati, David, Davidson, Davis, Dead, Dean, Decca, Dee, Deli, Denver, Deutscher, Di, Didn, Die, Diess, Dietrich, Dinamarca, Disibodenberg, Disney, Dispatch, Domenico, Don, Donald, Dorset, Doss, Douglas, Duffy, Durán, Dário, Dündar, ECB, EMicro, ETA, EUA, Eagle, Edgar, Edimburgo, Edinburgh, Eduardo, Egan, Egito, Eibingen, El, Elaine, Elliott, Endurance, Energy, Engagement, Ennio, Enrique, Eon, Erdogan, Erik, Ernest, Errani, Escócia, Eslováquia, Espanha, Esparta, Essen, Este, Europa, Eurásia, Evening, Ewan, ExxonMobil, FSLN, Facebook, Fallon, Father, Federico, Felipe, Fellini, Figaro, Filipe, Film, Finlândia, Fiorello, Fishing, Five, Fjögur, Flensburgo, Florence, Flórida, Fontvieille, Force, Ford, Forums, Francisco, Frank, França, Freeman, Friendship, Fußball, Fátima, G.D.P, GCA, GCHQ, GM, GOP, GTA, Galaxy, Gales, Gamson, Garonne, Garrard, Garth, Gate, Gaudens, Gaudí, Gaulle, Gaunt, Gay, Gazette, Georg, George, Georges, Georgetown, Germaine, Geronimo, Gerry, Geyer, Gezer, Gezira, Gillard, Giovanni, Glasgow, Glenda, Glinda, Gloria, Go, Goffredo, Gold, Golden, Gomery, Gongmin, González, Google, Gordon-Levitt, Goryeo, Grafton, Gravity, Greco, Ground, Grã, Grã-Bretanha, Grécia, Guam, Guide, Guilbeault, Guiné, Günter, Habsburgo, Hack, Halifax, Hallström, Hammersmith, Hans, Harbor, Hariri, Harley, Harvard, Haute, Head, Heart, Hechler, Heinrich, Helena, Henrique, Henry, Hepburn, Her, Herbert, Herodes, Herodíade, Herzl, Hill, Hillary, Hills, Hillsborough, Hitchcock, Hitchhiker’s, Hitler, Holanda, Holden, Hollywood, Homer, Hong, Hopley, Hortefeux, Horton, Huawei, Hubei, Hudson, Hugh, Humblebums, Humphrey, Hunan, Hungria, Husum, IAG, IRENA, Ieyasu, If, Income, Inglaterra, Inn, Investments, Investors, Iorque, Iran, Irlanda, Irène, Isabella, Islândia, Isner, Israel, Istambul, Itália, Iucatão, James, Japão, Jasmine, Jason, Javier, Jeff, Jeffrey, Jennings, Jerusalém, Jesse, Jesus, Jim, Jimmy, Jin, Joana, Joe, John, Johnny, Johnson, Jokowi, Joliot-Curie, Joseph, José, Journal, Juan, Juliano, Julieta, Jutting, KFC, Kadesh, Kamchatka, Kansas, Karel, Karnak, Keira, Kenseth, Kentucky, Kerber, Kesha, Kesteven, Khaan, Khanzir, Kiera, Kigali, Kiki, Kilimanjaro, Kim, King, Kipling, Kirriemuir, Kitai, Klein, Knew, Knightley, Knott, Knuck, Kong, Kori, Kramer, Krasnoyarsk, Kristiansand, Kristin, Krätschmer, Kuo, Kühn, LUISS, La, LaBeouf, LaBrocca, Lahore, Lamarr, Larry, Lasse, Laurent, Le, Lee, Leive, Lennox, Lenny, Liao, Like, Lillesand, Lin, Linares, Lincoln, Lindsay, Londres, Looper, Lord, Los, Louis, Love, Loving, Lovings, Lubumbashi, Lucas, Luther, Luís, Luíz, Lyvet, Lácio, MGB, Macedônia, Madri, Madrid, MahaNakhon, Mailis, Maldivas, Malleus, Mandl, Marat, Marcelle, Mare, Marengo, Margaret, Marina, Mark, Marr, Marrocos, Marta, Martin, Marvel, Mash, May, McGregor, McNeilly, Me, Medal, Megabizo, Mei, Meiji, Melania, Merdingen, Mesta, Metti, Meyer, Meza, Miami, Michael, Microsoft, Mildred, Milice, Millican, Milão, Mishima, Miss, Mississippi, Mohammed, Mojmir, Molise, Mongólia, Monster, Montreal, Morgan, Morricone, Morávia, Moscone, Motion, Motors, Mountain, Multi, Mundo, Muppets, Murphy, My, México, Mômone, Mônaco, NASCAR, Nanquim, Napoleão, Nashville, National, Nectar, Negan, Nesto, News, Newton, Nicholas, Nicolai, Nicolas, Nilo, Nine, Nitra, NoMa, Norman, North, Northampton, Noruega, Nostrum, Nottingham, OTAN, Obama, Obermarsberg, Odessa, Odi, Ohio, Olney, Olívia, On, Ontario, Ontário, Opium, Osborne, Oscar, Oswald, Ouvrière, Over, Packham, Pair, Paire, Pall, Palmer, Panamá, Panvalkar, Papua, Papworth, Paris, Park, Parker, Parma, Passera, Paulo, Pearl, Pebe, Pedro, Peloponeso, Pelucca, Peniston, Pequim, Petrassi, Pettersson, Petén, Peônia, Piaf, Picture, Piggy, Ping, Pithekoussae, Plantageneta, Plato, Plaza, Pluviose, Politti, Polônia, Pompey, Poole, Portugal, Post, Potomac, Prabowo, Prayer, Premium, Press, Price, Pugh, Punta, Pyongyang, Pyrrhus, Pérsia, Píanó, Qing, Quebec, Quênia, RECO, RHS, RSC, RSPB, Rachel, Rachida, Rafferty, Rai, Rambler, Rambow, Ramsés, Rasa, Ratislau, Reach, Reagan, Really, Record, Records, Reddit, Reichenbach, Reno, Return, Rian, Ricardo, Rich, Richard, Robinson, Rocco, Rocket, Rogers, Roma, Romanov, Romeu, Romênia, Rona, Rosane, Rossi, Royal, Rudyard, Rupertsberg, Ródano, Rós, Rússia, Rússica, SNS, SPIEGEL, SS, Saara, Sabrina, Sade, Sahel, Saint, Sakhalin, Salaman, Salerno, Sallyanne, Salmon, Salzburgo, Samnium, Samsung, San, Saqib, Sara, Sarah, Saratoga, Sarkozy, SaskTel, Saul, Savings, Schackleton, Schenck, Schlei, School, Schulman, Scotsman, Scott, Scritti, Seage, Seagel, Segel, Seicheles, Serena, Service, Sesto, Shaky, Shen, Shenzhen, Sheppard, Shikai, Show, Shōwa, Sibéria, Sicília, Sigur, Silicon, Simon, Skylark, Slack, Slate, Smaragdis, Smith, Snapchat, Snowman, Solheim, Somerset, Son, Sony, South, Southsea, Spotify, Springer, St., Stage, Stalin, Star, Starlin, Stealers, Stephen, Sternlieb, Stoller, Stranger, Strategy, Strathearn, Street, Style, Subianto, Sudetas, Suez, Sukhothai, Sulla, Summer, Sunderland, Suécia, Suíça, Sánchez, Südbaden, Tailândia, Talking, Talmadge, Tanzânia, Tapie, Target, Tarlo, Team, Technology, Telekom, Tell, Tennessee, Termópilas, Tesco, Tesla, Tessália, Texas, Thanos, That, Things, Thomas, Thompson, Thought, Tibério, Ticino, Tientsin, Tintin, Tioman, Tokugawa, Tolle, Tories, Transcaucásia, Traum, Tre, Trix, Troia, Trudeau, Trump, Trácia, Tulcea, Tunip, Turquia, Tutmés, Twitter, U.S, UE, UN, Uaxactun, Uber, Ucrânia, Ulrich, Undersea, VAT, VW, Valentino, Valley, Vance, Vantage, Vega, Veneto, Veneza, Versalhes, Victorias, View, Viguier, Villa, Villeneuve, Vine, Vladivostok, Von, Wall, Walt, Walter, Wang, Washington, Watt, Weiss, Weller, Wells, West, Wheel, Wheeler, Wild, Wilkes, William, Williams, Willis, Wing, Winham, Winston, Winstone, Winterkorn, Wintour, Wiz, Wolmar, Woods, World, Wright, Württemberg, Xangai, Ya, Yannis, Yas, Year, Yemen, Yerba, York, You, YouTube, Yuan, Yudhoyono, Yum, Yves, ZEIT, Zay, Zayion, Zettel’s, Zexu, Zimmer, Zuckerberg, Záhorie, a, al-Jadaan, and, de, del, dpa, in, las, of, t, the, to, África, Ángel, Ásia, Áustria, Évole, Óscar, Ötzi.

PROPN occurs with 3 features: Gender (1352; 100% instances), Number (1352; 100% instances), Foreign (164; 12% instances)

PROPN occurs with 5 feature-value pairs: Foreign=Yes, Gender=Fem, Gender=Masc, Number=Plur, Number=Sing

PROPN occurs with 7 feature combinations. The most frequent feature combination is Gender=Masc|Number=Sing (652 tokens). Examples: Trump, Caribe, Hong, Donald, Joseph, The, Rafferty, Bogd, Carlos, Colombo

Relations

PROPN nodes are attached to their parents using 14 different relations: nmod (359; 27% instances), nsubj (219; 16% instances), appos (165; 12% instances), flat (164; 12% instances), obl (158; 12% instances), flat:name (126; 9% instances), conj (66; 5% instances), obj (51; 4% instances), nsubj:pass (27; 2% instances), root (7; 1% instances), compound (6; 0% instances), acl:relcl (2; 0% instances), ccomp (1; 0% instances), orphan (1; 0% instances)

Parents of PROPN nodes belong to 9 different parts of speech: NOUN (522; 39% instances), VERB (406; 30% instances), PROPN (376; 28% instances), ADJ (25; 2% instances), ADV (8; 1% instances), (7; 1% instances), ADP (4; 0% instances), NUM (2; 0% instances), PRON (2; 0% instances)

508 (38%) PROPN nodes are leaves.

336 (25%) PROPN nodes have one child.

319 (24%) PROPN nodes have two children.

189 (14%) PROPN nodes have three or more children.

The highest child degree of a PROPN node is 9.

Children of PROPN nodes are attached using 22 different relations: case (525; 31% instances), det (340; 20% instances), punct (176; 11% instances), flat (164; 10% instances), flat:name (126; 8% instances), conj (82; 5% instances), cc (50; 3% instances), appos (49; 3% instances), nmod (42; 3% instances), amod (38; 2% instances), compound (24; 1% instances), acl:relcl (17; 1% instances), advmod (10; 1% instances), cop (9; 1% instances), nsubj (8; 0% instances), acl (7; 0% instances), obl:tmod (2; 0% instances), cc:preconj (1; 0% instances), compound:prt (1; 0% instances), det:predet (1; 0% instances), mark (1; 0% instances), orphan (1; 0% instances)

Children of PROPN nodes belong to 14 different parts of speech: ADP (526; 31% instances), PROPN (376; 22% instances), DET (341; 20% instances), PUNCT (176; 11% instances), NOUN (95; 6% instances), ADJ (55; 3% instances), CCONJ (50; 3% instances), VERB (22; 1% instances), ADV (9; 1% instances), AUX (9; 1% instances), NUM (9; 1% instances), X (3; 0% instances), PRON (2; 0% instances), SYM (1; 0% instances)