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7answered May 13, 2015 at 11:55
First ensure that you've wordnet downloaded:
alvas@ubi:~$ pythonPython 2.7.6 (default, Mar 22 2014, 22:59:56)[GCC 4.8.2] on linux2Type "help", "copyright", "credits" or "license" for more information.>>> import nltk>>> nltk.download('wordnet')[nltk_data] Downloading package wordnet to /home/alvas/nltk_data...[nltk_data] Package wordnet is already up-to-date!TrueTry:
>>> from nltk.corpus import wordnet as wn>>> for ss in wn.synsets('green'):... print ss, ss.hypernyms()...Synset('green.n.01') [Synset('chromatic_color.n.01')]Content Under CC-BY-SA license getting hypernyms from wordnet through nltk python
WEBMay 13, 2015 · I am using this code to find all hypernyms of a word from nltk import wordnet as wn for synset in wn.wordnet.synsets('green'): for hypernym in synset.hypernyms(): print synset, hypernym...
Incomplete list of synset hypernyms in NLTK's WordNet?
WEBJan 31, 2018 · While trying to recover any given WordNet synset's hypernyms through WN NLTK's interface, I am getting what I think are different results from WN's web search …
python - How do I get the top 'realistic' hypernym from wordnet …
WEBI'm using wordnet synset.hypernym_paths() which if I traverse all the way to the top gives me a hypernym that is way too abstract (ie: entity). I've tried creating a list of 'too high' …
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nltk - All synonyms for word in python? - Stack Overflow
WEBUsing wn.synset('dog.n.1').lemma_names is the correct way to access the synonyms of a sense. It's because a word has many senses and it's more appropriate to list synonyms …
How to get synonyms from nltk WordNet Python - Stack Overflow
WEBIf you want the synonyms in the synset (aka the lemmas that make up the set), you can get them with lemma_names(): >>> for ss in wn.synsets('small'): >>> print(ss.name(), …
Wordnet: Finding the most common hypernyms - Stack Overflow
WEBFeb 4, 2023 · final_list = [] for syn in syn_list: hypernyms_syn = syn.hypernyms() final_list.append(hypernyms_syn) final_list. I tried identifying the top 20 most common …
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Determining Hypernym or Hyponym using wordnet nltk
WEBOct 7, 2014 · If you're comparing plain words, see How to get all the hyponyms of a word/synset in python nltk and wordnet? The below will show how to compare synsets. …
categorize/ get hypernym type word using wordnet in python
WEBJun 22, 2018 · In terms of nltk/wordnet, you are looking for the hypernym (supertype/superordinate) of a word. For example, the hypernym of "sushi" might be …
nlp - Find lowest common hypernym given multiple words in …
WEBThe short answer is yes, the exact answer depends on your parameters. Say for two words, there is the lowest_common_hypernyms function but it has had some problems …
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WEBMar 18, 2013 · Here is a function I'm writing to check for the existence of hyper and hyponyms from a list of nouns. def check_hyper_hypo(wordlist): returnlist=[] for word in …
How to get all the hyponyms of a word/synset in python nltk and …
WEBJan 22, 2016 · typesOfVehicles = list(set([w for s in vehicle.closure(lambda s:s.hyponyms()) for w in s.lemma_names()])) This will give you all the unique words …
How do I Get All Attributes Of Synsets? - Stack Overflow
WEBJul 9, 2014 · It can be found here: WordNet Glossary. If I understand your question correctly, something like this may also work. 'nyms' here lists all the attributes a synset …
Common Hypernym between two words using WordNet (JWI)
WEBISynset synset = word.getSynset(); System.out.println("Synset = " + synset); // get the hypernyms by pointing a list of <types> in the words. List<ISynsetID> hypernyms = …
Differnt Nltk, wordnet hypernym output needed - Stack Overflow
WEBJun 16, 2017 · You can use the lemma_names function of the Synset object. Bear in mind it returns list of names, you can pick the one you are happy with (in this case its only 1 …
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WEBMar 17, 2016 · To find the top hypernym of any synset, use the Synset.root_hypernyms() function, e.g.: >>> from nltk.corpus import wordnet as wn. >>> …
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WEBHow to automatically identify hypernyms from a group of words? [closed] I have several groups of words, for example in group A: apple, pear, banana, fruit, grape, watermelon; …
Using WordNet with nltk to find synonyms that make sense
WEBAug 31, 2020 · I'm using Nltk to tokenize sentences and tag words, but I'm having trouble using WordNet to find a synonym for the specific meaning of a word that I want. For …
nlp - What's the difference between part_meronyms and …
WEBMay 5, 2018 · Hypernyms are not related to meronyms categorically. A given Synset's hypernym list contains all Synsets one depth level lower than the target Synset in the …
python - How can I print the entire contents of Wordnet (preferably ...
WEBNov 5, 2015 · To get a full list of lemmas in wordnet using a one-liner: >>> lemmas_in_wordnet = set(chain(*[ss.lemma_names() for ss in wn.all_synsets()])) …
python - WordNet: Iterate over synsets - Stack Overflow
WEBApr 15, 2015 · hypernyms = word_synsets.hypernym_paths() returns a list of list of SynSets. Hence. if element == 'person': tries to compare a SynSet object against a …
Make a hypernym tree for a set of words usint NLTK
WEBApr 23, 2014 · I have a list of words and I'd like to create a nltk.draw() like tree of their relations starting with each word on the bottom and showing all of their hypernyms in …
How to automatically identify hypernyms from a group of words?
WEBJul 6, 2017 · I have several groups of words, for example in group A: apple, pear, banana, fruit, grape, watermelon; in group B: cat, animal, dog, pig, monkey, duck; in group C: …
Lowest common hypernyms shared by a set of words
WEBGiven two words (synsets) in WordNet, find their lowest common hypernym (LCH). Then find the LCH of that hypernym and the next word. Repeat until you have done all the …
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