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I am using Stanza in order to receive a sentence and change its upos tag so that I can get a more personalized constituency tree. This is my code snippet :
`import stanza
import nltk
from nltk import Tree
from nltk.draw.util import CanvasFrame
from nltk.draw import TreeWidget
sentence = "Juan camina al parque con su madre."
pipeline = stanza.Pipeline('es', processors='tokenize,mwt,pos,lemma,depparse,constituency')
parser = pipeline(sentence)
print(parsed_sentence, parser)`
I am using Stanza in order to receive a sentence and change its upos tag so that I can get a more personalized constituency tree. This is my code snippet :
import stanza
import nltk
from nltk import Tree
from nltk.draw.util import CanvasFrame
from nltk.draw import TreeWidget
sentence = "Juan camina al parque con su madre."
pipeline = stanza.Pipeline('es', processors='tokenize,mwt,pos,lemma,depparse,constituency')
parser = pipeline(sentence)
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I am using Stanza in order to receive a sentence and change its upos tag so that I can get a more personalized constituency tree. This is my code snippet :
`import stanza
import nltk
from nltk import Tree
from nltk.draw.util import CanvasFrame
from nltk.draw import TreeWidget
sentence = "Juan camina al parque con su madre."
pipeline = stanza.Pipeline('es', processors='tokenize,mwt,pos,lemma,depparse,constituency')
parser = pipeline(sentence)
upos_mapping = {
"NOUN": "Sustantivo",
"ADP": "Preposición",
"DET": "Determinante"
}
for sentence in parser.sentences:
for word in sentence.words:
if word.upos in upos_mapping:
word.upos = upos_mapping[word.upos]
parsed_sentence = parser.sentences[0].constituency.children[0].children
print(parsed_sentence, parser)`
I am using Stanza in order to receive a sentence and change its upos tag so that I can get a more personalized constituency tree. This is my code snippet :
import stanza
import nltk
from nltk import Tree
from nltk.draw.util import CanvasFrame
from nltk.draw import TreeWidget
sentence = "Juan camina al parque con su madre."
pipeline = stanza.Pipeline('es', processors='tokenize,mwt,pos,lemma,depparse,constituency')
parser = pipeline(sentence)
upos_mapping = {
"NOUN": "Sustantivo",
"ADP": "Preposición",
"DET": "Determinante"
}
for sentence in parser.sentences:
for word in sentence.words:
if word.upos in upos_mapping:
word.upos = upos_mapping[word.upos]
parsed_sentence = parser.sentences[0].constituency.children[0].children
print(parsed_sentence, parser)
The problem that I am facing is that when I print the "parser" variable that contains the processed sentence, I get all the upos modified. However, when I print the constituency parser, the upos tags aren´t changed. This is what I get :
((sn (grup.nom (PROPN Juan))), (grup.verb (VERB camina)), (sn (spec (ADP a) (DET el)) (grup.nom (NOUN parque))), (sp (prep (ADP con)) (sn (spec (DET su)) (grup.nom (NOUN madre)))), (PUNCT .)) [ [ { "id": 1, "text": "Juan", "lemma": "Juan", "upos": "PROPN", "xpos": "np00000", "head": 2, "deprel": "nsubj", "start_char": 0, "end_char": 4 }, { "id": 2, "text": "camina", "lemma": "caminar", "upos": "VERB", "xpos": "vmip3s0", "feats": "Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin", "head": 0, "deprel": "root", "start_char": 5, "end_char": 11 }, { "id": [ 3, 4 ], "text": "al", "start_char": 12, "end_char": 14 }, { "id": 3, "text": "a", "lemma": "a", "upos": "Preposición", "xpos": "spcms", "head": 5, "deprel": "case" }, { "id": 4, "text": "el", "lemma": "el", "upos": "Determinante", "feats": "Definite=Def|Gender=Masc|Number=Sing|PronType=Art", "head": 5, "deprel": "det" }, { "id": 5, "text": "parque", "lemma": "parque", "upos": "Sustantivo", "xpos": "ncms000", "feats": "Gender=Masc|Number=Sing", "head": 2, "deprel": "obl", "start_char": 15, "end_char": 21 }, { "id": 6, "text": "con", "lemma": "con", "upos": "Preposición", "xpos": "sps00", "head": 8, "deprel": "case", "start_char": 22, "end_char": 25 }, { "id": 7, "text": "su", "lemma": "su", "upos": "Determinante", "xpos": "dp3cs0", "feats": "Number=Sing|Person=3|Poss=Yes|PronType=Prs", "head": 8, "deprel": "det", "start_char": 26, "end_char": 28 }, { "id": 8, "text": "madre", "lemma": "madre", "upos": "Sustantivo", "xpos": "ncfs000", "feats": "Gender=Fem|Number=Sing", "head": 2, "deprel": "obl", "start_char": 29, "end_char": 34 }, { "id": 9, "text": ".", "lemma": ".", "xpos": "fp", "feats": "PunctType=Peri", "head": 2, "deprel": "punct", "start_char": 34, "end_char": 35 } ] ]
I have not find any resources in the Internet. I would be pleased if someone could help me. Thank you!
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