tagger tag stanford spanish software pos framework edu corenlp java nlp stanford-nlp part-of-speech

tag - stanford nlp java



Java Stanford NLP: ¿parte de las etiquetas de voz? (9)

El PNL de Stanford, demo''d here , da un resultado como este:

Colorless/JJ green/JJ ideas/NNS sleep/VBP furiously/RB ./.

¿Qué significan las etiquetas de Parte de voz? No puedo encontrar una lista oficial. ¿Es el propio sistema de Stanford, o están usando etiquetas universales? (¿Qué es JJ , por ejemplo?)

Además, cuando estoy iterando a través de las oraciones, buscando sustantivos, por ejemplo, termino haciendo algo así como verificar si la etiqueta .contains(''N'') . Esto se siente bastante débil. ¿Hay una mejor manera de buscar mediante programación cierta parte del discurso?

A la respuesta aceptada anterior le falta la siguiente información:

También hay 9 etiquetas de puntuación definidas (que no figuran en algunas referencias, ver here ). Estos son:

  1. #
  2. ps
  3. '''' (utilizado para todas las formas de cotización de cierre)
  4. ((usado para todas las formas de apertura de paréntesis)
  5. ) (usado para todas las formas de paréntesis de cierre)
  6. ,
  7. . (usado para todos los signos de puntuación que terminan las oraciones)
  8. : (utilizado para dos puntos, punto y coma y elipses)
  9. `` (usado para todas las formas de cita de apertura)

Aquí hay una lista más completa de etiquetas para el Penn Treebank (publicado aquí por el bien de la completitud):

http://www.surdeanu.info/mihai/teaching/ista555-fall13/readings/PennTreebankConstituents.html

También incluye etiquetas para cláusula y niveles de frase.

Nivel de cláusula

- S - SBAR - SBARQ - SINV - SQ

Nivel de frase

- ADJP - ADVP - CONJP - FRAG - INTJ - LST - NAC - NP - NX - PP - PRN - PRT - QP - RRC - UCP - VP - WHADJP - WHAVP - WHNP - WHPP - X

(descripciones en el enlace)

Con respecto a su segunda pregunta de encontrar una determinada palabra / fragmento en un POS (por ejemplo, Sustantivo), este es el código de muestra que puede seguir.

public static void main(String[] args) { Properties properties = new Properties(); properties.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse"); StanfordCoreNLP pipeline = new StanfordCoreNLP(properties); String input = "Colorless green ideas sleep furiously."; Annotation annotation = pipeline.process(input); List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class); List<String> output = new ArrayList<>(); String regex = "([{pos:/NN|NNS|NNP/}])"; //Noun for (CoreMap sentence : sentences) { List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class); TokenSequencePattern pattern = TokenSequencePattern.compile(regex); TokenSequenceMatcher matcher = pattern.getMatcher(tokens); while (matcher.find()) { output.add(matcher.group()); } } System.out.println("Input: "+input); System.out.println("Output: "+output); }

El resultado es:

Input: Colorless green ideas sleep furiously. Output: [ideas]

En caso de que quisieras codificarlo ...

/** * Represents the English parts-of-speech, encoded using the * de facto <a href="http://www.cis.upenn.edu/~treebank/">Penn Treebank * Project</a> standard. * * @see <a href="ftp://ftp.cis.upenn.edu/pub/treebank/doc/tagguide.ps.gz">Penn Treebank Specification</a> */ public enum PartOfSpeech { ADJECTIVE( "JJ" ), ADJECTIVE_COMPARATIVE( ADJECTIVE + "R" ), ADJECTIVE_SUPERLATIVE( ADJECTIVE + "S" ), /* This category includes most words that end in -ly as well as degree * words like quite, too and very, posthead modi ers like enough and * indeed (as in good enough, very well indeed), and negative markers like * not, n''t and never. */ ADVERB( "RB" ), /* Adverbs with the comparative ending -er but without a strictly comparative * meaning, like <i>later</i> in <i>We can always come by later</i>, should * simply be tagged as RB. */ ADVERB_COMPARATIVE( ADVERB + "R" ), ADVERB_SUPERLATIVE( ADVERB + "S" ), /* This category includes how, where, why, etc. */ ADVERB_WH( "W" + ADVERB ), /* This category includes and, but, nor, or, yet (as in Y et it''s cheap, * cheap yet good), as well as the mathematical operators plus, minus, less, * times (in the sense of "multiplied by") and over (in the sense of "divided * by"), when they are spelled out. <i>For</i> in the sense of "because" is * a coordinating conjunction (CC) rather than a subordinating conjunction. */ CONJUNCTION_COORDINATING( "CC" ), CONJUNCTION_SUBORDINATING( "IN" ), CARDINAL_NUMBER( "CD" ), DETERMINER( "DT" ), /* This category includes which, as well as that when it is used as a * relative pronoun. */ DETERMINER_WH( "W" + DETERMINER ), EXISTENTIAL_THERE( "EX" ), FOREIGN_WORD( "FW" ), LIST_ITEM_MARKER( "LS" ), NOUN( "NN" ), NOUN_PLURAL( NOUN + "S" ), NOUN_PROPER_SINGULAR( NOUN + "P" ), NOUN_PROPER_PLURAL( NOUN + "PS" ), PREDETERMINER( "PDT" ), POSSESSIVE_ENDING( "POS" ), PRONOUN_PERSONAL( "PRP" ), PRONOUN_POSSESSIVE( "PRP$" ), /* This category includes the wh-word whose. */ PRONOUN_POSSESSIVE_WH( "WP$" ), /* This category includes what, who and whom. */ PRONOUN_WH( "WP" ), PARTICLE( "RP" ), /* This tag should be used for mathematical, scientific and technical symbols * or expressions that aren''t English words. It should not used for any and * all technical expressions. For instance, the names of chemicals, units of * measurements (including abbreviations thereof) and the like should be * tagged as nouns. */ SYMBOL( "SYM" ), TO( "TO" ), /* This category includes my (as in M y, what a gorgeous day), oh, please, * see (as in See, it''s like this), uh, well and yes, among others. */ INTERJECTION( "UH" ), VERB( "VB" ), VERB_PAST_TENSE( VERB + "D" ), VERB_PARTICIPLE_PRESENT( VERB + "G" ), VERB_PARTICIPLE_PAST( VERB + "N" ), VERB_SINGULAR_PRESENT_NONTHIRD_PERSON( VERB + "P" ), VERB_SINGULAR_PRESENT_THIRD_PERSON( VERB + "Z" ), /* This category includes all verbs that don''t take an -s ending in the * third person singular present: can, could, (dare), may, might, must, * ought, shall, should, will, would. */ VERB_MODAL( "MD" ), /* Stanford. */ SENTENCE_TERMINATOR( "." ); private final String tag; private PartOfSpeech( String tag ) { this.tag = tag; } /** * Returns the encoding for this part-of-speech. * * @return A string representing a Penn Treebank encoding for an English * part-of-speech. */ public String toString() { return getTag(); } protected String getTag() { return this.tag; } public static PartOfSpeech get( String value ) { for( PartOfSpeech v : values() ) { if( value.equals( v.getTag() ) ) { return v; } } throw new IllegalArgumentException( "Unknown part of speech: ''" + value + "''." ); } }

Estoy proporcionando toda la lista aquí y también estoy dando un enlace de referencia

1. CC Coordinating conjunction 2. CD Cardinal number 3. DT Determiner 4. EX Existential there 5. FW Foreign word 6. IN Preposition or subordinating conjunction 7. JJ Adjective 8. JJR Adjective, comparative 9. JJS Adjective, superlative 10. LS List item marker 11. MD Modal 12. NN Noun, singular or mass 13. NNS Noun, plural 14. NNP Proper noun, singular 15. NNPS Proper noun, plural 16. PDT Predeterminer 17. POS Possessive ending 18. PRP Personal pronoun 19. PRP$ Possessive pronoun 20. RB Adverb 21. RBR Adverb, comparative 22. RBS Adverb, superlative 23. RP Particle 24. SYM Symbol 25. TO to 26. UH Interjection 27. VB Verb, base form 28. VBD Verb, past tense 29. VBG Verb, gerund or present participle 30. VBN Verb, past participle 31. VBP Verb, non-3rd person singular present 32. VBZ Verb, 3rd person singular present 33. WDT Wh-determiner 34. WP Wh-pronoun 35. WP$ Possessive wh-pronoun 36. WRB Wh-adverb

Puede encontrar toda la lista de etiquetas de Partes de discurso here .

El Proyecto Penn Treebank . Mira el etiquetado de voz parcial ps.

JJ es un adjetivo. NNS es sustantivo, plural. VBP es el verbo presente. RB es un adverbio.

Eso es para ingles Para chino, es el Penn Chinese Treebank. Y para alemán es el corpus NEGRA.

  1. CC Coordinación de conjunción
  2. CD Cardinal number
  3. DT Determiner
  4. EX Existencial allí
  5. Palabra extranjera de FW
  6. IN Preposición o conjunción subordinada
  7. JJ Adjetivo
  8. JJR Adjetivo, comparativo
  9. JJS Adjetivo, superlativo
  10. Marcador de elemento de lista LS
  11. MD Modal
  12. NN Sustantivo, singular o masivo
  13. NNS Sustantivo, plural
  14. NNP sustantivo propio, singular
  15. NNPS Proper sustantivo, plural
  16. Predeterminador PDT
  17. POS Possiveive ending
  18. PRP pronombre personal
  19. PRP $ pronombre posesivo
  20. RB Adverbio
  21. RBR Adverbio, comparativo
  22. Adverbio RBS, superlativo
  23. Partícula RP
  24. Símbolo SYM
  25. TO a
  26. UH Interjection
  27. VB Verb, forma base
  28. VBD Verb, tiempo pasado
  29. VBG Verbo, gerundio o participio presente
  30. VBN Verb, participio pasado
  31. VBP Verb, non3rd person singular present
  32. Verbo VBZ, presente en tercera persona del singular
  33. WDT Whdeterminer
  34. WP Whpronoun
  35. WP $ Whipronoun posesivo
  36. WRB Whadverb

Explanation of each tag from the documentation : CC: conjunction, coordinating & ''n and both but either et for less minus neither nor or plus so therefore times v. versus vs. whether yet CD: numeral, cardinal mid-1890 nine-thirty forty-two one-tenth ten million 0.5 one forty- seven 1987 twenty ''79 zero two 78-degrees eighty-four IX ''60s .025 fifteen 271,124 dozen quintillion DM2,000 ... DT: determiner all an another any both del each either every half la many much nary neither no some such that the them these this those EX: existential there there FW: foreign word gemeinschaft hund ich jeux habeas Haementeria Herr K''ang-si vous lutihaw alai je jour objets salutaris fille quibusdam pas trop Monte terram fiche oui corporis ... IN: preposition or conjunction, subordinating astride among uppon whether out inside pro despite on by throughout below within for towards near behind atop around if like until below next into if beside ... JJ: adjective or numeral, ordinal third ill-mannered pre-war regrettable oiled calamitous first separable ectoplasmic battery-powered participatory fourth still-to-be-named multilingual multi-disciplinary ... JJR: adjective, comparative bleaker braver breezier briefer brighter brisker broader bumper busier calmer cheaper choosier cleaner clearer closer colder commoner costlier cozier creamier crunchier cuter ... JJS: adjective, superlative calmest cheapest choicest classiest cleanest clearest closest commonest corniest costliest crassest creepiest crudest cutest darkest deadliest dearest deepest densest dinkiest ... LS: list item marker A A. B B. C C. D E F First G H I J K One SP-44001 SP-44002 SP-44005 SP-44007 Second Third Three Two * a b c d first five four one six three two MD: modal auxiliary can cannot could couldn''t dare may might must need ought shall should shouldn''t will would NN: noun, common, singular or mass common-carrier cabbage knuckle-duster Casino afghan shed thermostat investment slide humour falloff slick wind hyena override subhumanity machinist ... NNS: noun, common, plural undergraduates scotches bric-a-brac products bodyguards facets coasts divestitures storehouses designs clubs fragrances averages subjectivists apprehensions muses factory-jobs ... NNP: noun, proper, singular Motown Venneboerger Czestochwa Ranzer Conchita Trumplane Christos Oceanside Escobar Kreisler Sawyer Cougar Yvette Ervin ODI Darryl CTCA Shannon A.K.C. Meltex Liverpool ... NNPS: noun, proper, plural Americans Americas Amharas Amityvilles Amusements Anarcho-Syndicalists Andalusians Andes Andruses Angels Animals Anthony Antilles Antiques Apache Apaches Apocrypha ... PDT: pre-determiner all both half many quite such sure this POS: genitive marker '' ''s PRP: pronoun, personal hers herself him himself hisself it itself me myself one oneself ours ourselves ownself self she thee theirs them themselves they thou thy us PRP$: pronoun, possessive her his mine my our ours their thy your RB: adverb occasionally unabatingly maddeningly adventurously professedly stirringly prominently technologically magisterially predominately swiftly fiscally pitilessly ... RBR: adverb, comparative further gloomier grander graver greater grimmer harder harsher healthier heavier higher however larger later leaner lengthier less- perfectly lesser lonelier longer louder lower more ... RBS: adverb, superlative best biggest bluntest earliest farthest first furthest hardest heartiest highest largest least less most nearest second tightest worst RP: particle aboard about across along apart around aside at away back before behind by crop down ever fast for forth from go high i.e. in into just later low more off on open out over per pie raising start teeth that through under unto up up-pp upon whole with you SYM: symbol % & '' '''' ''''. ) ). * + ,. < = > @ A[fj] U.S U.S.S.R * ** *** TO: "to" as preposition or infinitive marker to UH: interjection Goodbye Goody Gosh Wow Jeepers Jee-sus Hubba Hey Kee-reist Oops amen huh howdy uh dammit whammo shucks heck anyways whodunnit honey golly man baby diddle hush sonuvabitch ... VB: verb, base form ask assemble assess assign assume atone attention avoid bake balkanize bank begin behold believe bend benefit bevel beware bless boil bomb boost brace break bring broil brush build ... VBD: verb, past tense dipped pleaded swiped regummed soaked tidied convened halted registered cushioned exacted snubbed strode aimed adopted belied figgered speculated wore appreciated contemplated ... VBG: verb, present participle or gerund telegraphing stirring focusing angering judging stalling lactating hankerin'' alleging veering capping approaching traveling besieging encrypting interrupting erasing wincing ... VBN: verb, past participle multihulled dilapidated aerosolized chaired languished panelized used experimented flourished imitated reunifed factored condensed sheared unsettled primed dubbed desired ... VBP: verb, present tense, not 3rd person singular predominate wrap resort sue twist spill cure lengthen brush terminate appear tend stray glisten obtain comprise detest tease attract emphasize mold postpone sever return wag ... VBZ: verb, present tense, 3rd person singular bases reconstructs marks mixes displeases seals carps weaves snatches slumps stretches authorizes smolders pictures emerges stockpiles seduces fizzes uses bolsters slaps speaks pleads ... WDT: WH-determiner that what whatever which whichever WP: WH-pronoun that what whatever whatsoever which who whom whosoever WP$: WH-pronoun, possessive whose WRB: Wh-adverb how however whence whenever where whereby whereever wherein whereof why