wordnet

问题 Is it necessary for the word input to WordNet to be formatted like "التُّفَّاحْ" and can't expect "التفاح"... is there any library or service taking not-formatted Arabic word returning a list of all its possible synonyms. 回答1: From التُّفَّاحْ to التفاح , you simply want to remove the diacritics then you need a lexical normalization tool. Try Tashaphyne, download and install then use the normalize module http://pythonhosted.org/Tashaphyne/Tashaphyne.normalize-module.html : from Tashaphyne

问题 http://digital.library.unt.edu/ark:/67531/metadc30973/m2/1/high_res_d/Mihalcea-2005-Putting_Pieces_Together-Combining_FrameNet.pdf In the link above on the sixth page, the paper mentions that a mapping was made. "The process of mapping VerbNet to WordNet is thus semi-automatic. We first manually link all semantic constraints defined in VerbNet (there are 36 such constraints) to one or more nodes in the WordNet semantic hierarchy." I am trying to use this mapping on NLTK Python with Verbnet

问题 I want to lemmatize using from nltk import word_tokenize, sent_tokenize, pos_tag from nltk.stem.wordnet import WordNetLemmatizer from nltk.corpus import wordnet lmtzr = WordNetLemmatizer() POS = pos_tag(text) def get_wordnet_pos(treebank_tag): #maps pos tag so lemmatizer understands from nltk.corpus import wordnet if treebank_tag.startswith('J'): return wordnet.ADJ elif treebank_tag.startswith('V'): return wordnet.VERB elif treebank_tag.startswith('N'): return wordnet.NOUN elif treebank_tag

问题 Using JWI MIT interface libraries http://projects.csail.mit.edu/jwi/ , how can I find the list of most frequently used English words in daily life from WordNet api (http://wordnet.princeton.edu/)? Is there any way I can accomplish this if API initially does not provide this? Because initially API does not filter words on a level. 回答1: WordNet comes with usage word counts, but the man page describes them as unreliable and not updated since 2001: http://wordnet.princeton.edu/wordnet/man/cntlist

问题 import edu.smu.tspell.wordnet.NounSynset; import edu.smu.tspell.wordnet.Synset; import edu.smu.tspell.wordnet.SynsetType; import edu.smu.tspell.wordnet.WordNetDatabase; import javax.swing.JApplet; import javax.swing.JFrame; public class JavaApplication4 { String a[]=new String[2]; public static void main(String a[]) { String ar[]={"faith"}; int j=0; while(j<2) { System.setProperty("wordnet.database.dir", "C:\\ProgramFiles(x86)\\WordNet\\2.1\\dict"); NounSynset nounSynset; NounSynset[]

问题 I am new to Lucene and I'm trying to use WordnetSynonymParser to expand queries using the wordnet synonyms prolog. Here is what I have till now: public class CustomAnalyzer extends Analyzer { @Override protected TokenStreamComponents createComponents(String fieldName, Reader reader){ // TODO Auto-generated method stub Tokenizer source = new ClassicTokenizer(Version.LUCENE_47, reader); TokenStream filter = new StandardFilter(Version.LUCENE_47, source); filter = new LowerCaseFilter(Version

问题 I'm trying to get synonyms of a given word using Wordnet. The problem is that despite I'm doing the same as is written here: here, it returns error. Here is my code: from nltk.corpus import wordnet as wn import nltk dog = wn.synset('dog.n.01') print dog.lemma_names >>> <bound method Synset.lemma_names of Synset('dog.n.01')> for i,j in enumerate(wn.synsets('small')): print "Synonyms:", ", ".join(j.lemma_names) >>> Synonyms: Traceback (most recent call last): File "C:/Users/Python

问题 Is there a way in Python 2.7 using NLTK to just get the word and not the extra formatting that includes "synset" and the parentheses and the "n.01" etc? For instance if I do wn.synsets('dog') My results look like: [Synset('dog.n.01'), Synset('frump.n.01'), Synset('dog.n.03'), Synset('cad.n.01'), Synset('frank.n.02'), Synset('pawl.n.01'), Synset('andiron.n.01'), Synset('chase.v.01')] How can I instead get a list like this? dog frump cad frank pawl andiron chase Is there a way to do this using

问题 Is there a way in Python 2.7 using NLTK to just get the word and not the extra formatting that includes "synset" and the parentheses and the "n.01" etc? For instance if I do wn.synsets('dog') My results look like: [Synset('dog.n.01'), Synset('frump.n.01'), Synset('dog.n.03'), Synset('cad.n.01'), Synset('frank.n.02'), Synset('pawl.n.01'), Synset('andiron.n.01'), Synset('chase.v.01')] How can I instead get a list like this? dog frump cad frank pawl andiron chase Is there a way to do this using

问题 I am a complete beginner to NLP and NLTK. I was not able to understand the exact difference between lemmas and synsets in wordnet , because both are producing nearly the same output. for example for the word cake it produce this output. lemmas : [Lemma('cake.n.01.cake'), Lemma('patty.n.01.cake'), Lemma('cake.n.03.cake'), Lemma('coat.v.03.cake')] synsets : [Synset('cake.n.01'), Synset('patty.n.01'), Synset('cake.n.03'), Synset('coat.v.03')] please help me to understand this concept. Thank you.