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Update modules/text_analysis/morpho_analysis.py
Browse files- modules/text_analysis/morpho_analysis.py +160 -157
modules/text_analysis/morpho_analysis.py
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import spacy
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from spacy import displacy
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from streamlit.components.v1 import html
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import base64
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from collections import Counter
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import re
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from ..utils.widget_utils import generate_unique_key
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import logging
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logger = logging.getLogger(__name__)
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# Define colors for grammatical categories
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POS_COLORS = {
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'ADJ': '#FFA07A', # Light Salmon
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'ADP': '#98FB98', # Pale Green
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'ADV': '#87CEFA', # Light Sky Blue
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'AUX': '#DDA0DD', # Plum
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'CCONJ': '#F0E68C', # Khaki
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'DET': '#FFB6C1', # Light Pink
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'INTJ': '#FF6347', # Tomato
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'NOUN': '#90EE90', # Light Green
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'NUM': '#FAFAD2', # Light Goldenrod Yellow
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'PART': '#D3D3D3', # Light Gray
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'PRON': '#FFA500', # Orange
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'PROPN': '#20B2AA', # Light Sea Green
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'SCONJ': '#DEB887', # Burlywood
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'SYM': '#7B68EE', # Medium Slate Blue
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'VERB': '#FF69B4', # Hot Pink
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'X': '#A9A9A9', # Dark Gray
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}
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POS_TRANSLATIONS = {
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'es': {
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'ADJ': 'Adjetivo',
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'ADP': 'Preposición',
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'ADV': 'Adverbio',
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'AUX': 'Auxiliar',
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'CCONJ': 'Conjunción Coordinante',
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'DET': 'Determinante',
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'INTJ': 'Interjección',
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'NOUN': 'Sustantivo',
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'NUM': 'Número',
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'PART': 'Partícula',
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'PRON': 'Pronombre',
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'PROPN': 'Nombre Propio',
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'SCONJ': 'Conjunción Subordinante',
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'SYM': 'Símbolo',
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'VERB': 'Verbo',
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'X': 'Otro',
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},
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'en': {
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'ADJ': 'Adjective',
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'ADP': 'Preposition',
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'ADV': 'Adverb',
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'AUX': 'Auxiliary',
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'CCONJ': 'Coordinating Conjunction',
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'DET': 'Determiner',
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'INTJ': 'Interjection',
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'NOUN': 'Noun',
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'NUM': 'Number',
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'PART': 'Particle',
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'PRON': 'Pronoun',
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'PROPN': 'Proper Noun',
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'SCONJ': 'Subordinating Conjunction',
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'SYM': 'Symbol',
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'VERB': 'Verb',
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'X': 'Other',
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},
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'fr': {
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'ADJ': 'Adjectif',
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'ADP': 'Préposition',
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'ADV': 'Adverbe',
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'AUX': 'Auxiliaire',
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'CCONJ': 'Conjonction de Coordination',
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'DET': 'Déterminant',
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'INTJ': 'Interjection',
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'NOUN': 'Nom',
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'NUM': 'Nombre',
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'PART': 'Particule',
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'PRON': 'Pronom',
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'PROPN': 'Nom Propre',
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'SCONJ': 'Conjonction de Subordination',
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'SYM': 'Symbole',
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'VERB': 'Verbe',
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'X': 'Autre',
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}
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}
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def generate_arc_diagram(doc):
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arc_diagrams = []
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for sent in doc.sents:
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words = [token.text for token in sent]
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# Calculamos el ancho del SVG basado en la longitud de la oración
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svg_width = max(600, len(words) * 120)
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# Altura fija para cada oración
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svg_height = 350 # Controla la altura del SVG
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# Renderizamos el diagrama de dependencias
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html = displacy.render(sent, style="dep", options={
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"add_lemma":False, # Introduced in version 2.2.4, this argument prints the lemma’s in a separate row below the token texts.
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"arrow_spacing": 12, #This argument is used for adjusting the spacing between arrows in px to avoid overlaps.
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"arrow_width": 2, #This argument is used for adjusting the width of arrow head in px.
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"arrow_stroke": 2, #This argument is used for adjusting the width of arrow path in px.
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"collapse_punct": True, #It attaches punctuation to the tokens.
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"collapse_phrases": False, # This argument merges the noun phrases into one token.
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"compact":False, # If you will take this argument as true, you will get the “Compact mode” with square arrows that takes up less space.
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"color": "#ffffff",
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"bg": "#0d6efd",
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"compact": False, #Put the value of this argument True, if you want to use fine-grained part-of-speech tags (Token.tag_), instead of coarse-grained tags (Token.pos_).
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"distance": 100, # Aumentamos la distancia entre palabras
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"fine_grained": False, #Put the value of this argument True, if you want to use fine-grained part-of-speech tags (Token.tag_), instead of coarse-grained tags (Token.pos_).
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"offset_x": 55, # This argument is used for spacing on left side of the SVG in px.
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"word_spacing": 25, #This argument is used for adjusting the vertical spacing between words and arcs in px.
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})
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# Ajustamos el tamaño del SVG y el viewBox
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html = re.sub(r'width="(\d+)"', f'width="{svg_width}"', html)
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html = re.sub(r'height="(\d+)"', f'height="{svg_height}"', html)
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html = re.sub(r'<svg', f'<svg viewBox="0 0 {svg_width} {svg_height}"', html)
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#html = re.sub(r'<svg[^>]*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html)
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#html = re.sub(r'<g [^>]*transform="translate\((\d+),(\d+)\)"', lambda m: f'<g transform="translate({m.group(1)},50)"', html)
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# Movemos todo el contenido hacia abajo
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#html = html.replace('<g', f'<g transform="translate(50, {svg_height - 200})"')
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# Movemos todo el contenido hacia arriba para eliminar el espacio vacío en la parte superior
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html = re.sub(r'<g transform="translate\((\d+),(\d+)\)"',
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lambda m: f'<g transform="translate({m.group(1)},10)"', html)
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# Ajustamos la posición de las etiquetas de las palabras
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html = html.replace('dy="1em"', 'dy="-1em"')
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# Ajustamos la posición de las etiquetas POS
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html = html.replace('dy="0.25em"', 'dy="-3em"')
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# Aumentamos el tamaño de la fuente para las etiquetas POS
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html = html.replace('.displacy-tag {', '.displacy-tag { font-size: 14px;')
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# Rotamos las etiquetas de las palabras para mejorar la legibilidad
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#html = html.replace('class="displacy-label"', 'class="displacy-label" transform="rotate(30)"')
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arc_diagrams.append(html)
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return arc_diagrams
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##################################################################################################################################
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def perform_advanced_morphosyntactic_analysis(text, nlp):
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doc = nlp(text)
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'
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__all__ = ['perform_advanced_morphosyntactic_analysis']
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import spacy
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from spacy import displacy
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from streamlit.components.v1 import html
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import base64
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+
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from collections import Counter
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import re
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from ..utils.widget_utils import generate_unique_key
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import logging
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logger = logging.getLogger(__name__)
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+
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+
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# Define colors for grammatical categories
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POS_COLORS = {
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'ADJ': '#FFA07A', # Light Salmon
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+
'ADP': '#98FB98', # Pale Green
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+
'ADV': '#87CEFA', # Light Sky Blue
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+
'AUX': '#DDA0DD', # Plum
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+
'CCONJ': '#F0E68C', # Khaki
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+
'DET': '#FFB6C1', # Light Pink
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+
'INTJ': '#FF6347', # Tomato
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+
'NOUN': '#90EE90', # Light Green
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+
'NUM': '#FAFAD2', # Light Goldenrod Yellow
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+
'PART': '#D3D3D3', # Light Gray
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+
'PRON': '#FFA500', # Orange
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+
'PROPN': '#20B2AA', # Light Sea Green
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+
'SCONJ': '#DEB887', # Burlywood
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+
'SYM': '#7B68EE', # Medium Slate Blue
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'VERB': '#FF69B4', # Hot Pink
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'X': '#A9A9A9', # Dark Gray
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}
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+
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POS_TRANSLATIONS = {
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'es': {
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'ADJ': 'Adjetivo',
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'ADP': 'Preposición',
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'ADV': 'Adverbio',
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'AUX': 'Auxiliar',
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'CCONJ': 'Conjunción Coordinante',
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'DET': 'Determinante',
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'INTJ': 'Interjección',
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'NOUN': 'Sustantivo',
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'NUM': 'Número',
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'PART': 'Partícula',
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'PRON': 'Pronombre',
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'PROPN': 'Nombre Propio',
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'SCONJ': 'Conjunción Subordinante',
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'SYM': 'Símbolo',
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'VERB': 'Verbo',
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'X': 'Otro',
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},
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'en': {
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'ADJ': 'Adjective',
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'ADP': 'Preposition',
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'ADV': 'Adverb',
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'AUX': 'Auxiliary',
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'CCONJ': 'Coordinating Conjunction',
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'DET': 'Determiner',
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'INTJ': 'Interjection',
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'NOUN': 'Noun',
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'NUM': 'Number',
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'PART': 'Particle',
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'PRON': 'Pronoun',
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'PROPN': 'Proper Noun',
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'SCONJ': 'Subordinating Conjunction',
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'SYM': 'Symbol',
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'VERB': 'Verb',
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'X': 'Other',
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},
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'fr': {
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'ADJ': 'Adjectif',
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'ADP': 'Préposition',
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'ADV': 'Adverbe',
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'AUX': 'Auxiliaire',
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'CCONJ': 'Conjonction de Coordination',
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'DET': 'Déterminant',
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'INTJ': 'Interjection',
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'NOUN': 'Nom',
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'NUM': 'Nombre',
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'PART': 'Particule',
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'PRON': 'Pronom',
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'PROPN': 'Nom Propre',
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'SCONJ': 'Conjonction de Subordination',
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'SYM': 'Symbole',
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'VERB': 'Verbe',
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'X': 'Autre',
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}
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}
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def generate_arc_diagram(doc):
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arc_diagrams = []
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for sent in doc.sents:
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words = [token.text for token in sent]
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# Calculamos el ancho del SVG basado en la longitud de la oración
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svg_width = max(600, len(words) * 120)
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+
# Altura fija para cada oración
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svg_height = 350 # Controla la altura del SVG
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+
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# Renderizamos el diagrama de dependencias
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html = displacy.render(sent, style="dep", options={
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"add_lemma":False, # Introduced in version 2.2.4, this argument prints the lemma’s in a separate row below the token texts.
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+
"arrow_spacing": 12, #This argument is used for adjusting the spacing between arrows in px to avoid overlaps.
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+
"arrow_width": 2, #This argument is used for adjusting the width of arrow head in px.
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+
"arrow_stroke": 2, #This argument is used for adjusting the width of arrow path in px.
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+
"collapse_punct": True, #It attaches punctuation to the tokens.
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+
"collapse_phrases": False, # This argument merges the noun phrases into one token.
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+
"compact":False, # If you will take this argument as true, you will get the “Compact mode” with square arrows that takes up less space.
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"color": "#ffffff",
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"bg": "#0d6efd",
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"compact": False, #Put the value of this argument True, if you want to use fine-grained part-of-speech tags (Token.tag_), instead of coarse-grained tags (Token.pos_).
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"distance": 100, # Aumentamos la distancia entre palabras
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+
"fine_grained": False, #Put the value of this argument True, if you want to use fine-grained part-of-speech tags (Token.tag_), instead of coarse-grained tags (Token.pos_).
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+
"offset_x": 55, # This argument is used for spacing on left side of the SVG in px.
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+
"word_spacing": 25, #This argument is used for adjusting the vertical spacing between words and arcs in px.
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})
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+
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# Ajustamos el tamaño del SVG y el viewBox
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html = re.sub(r'width="(\d+)"', f'width="{svg_width}"', html)
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html = re.sub(r'height="(\d+)"', f'height="{svg_height}"', html)
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html = re.sub(r'<svg', f'<svg viewBox="0 0 {svg_width} {svg_height}"', html)
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#html = re.sub(r'<svg[^>]*>', lambda m: m.group(0).replace('height="450"', 'height="300"'), html)
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#html = re.sub(r'<g [^>]*transform="translate\((\d+),(\d+)\)"', lambda m: f'<g transform="translate({m.group(1)},50)"', html)
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# Movemos todo el contenido hacia abajo
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#html = html.replace('<g', f'<g transform="translate(50, {svg_height - 200})"')
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+
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# Movemos todo el contenido hacia arriba para eliminar el espacio vacío en la parte superior
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html = re.sub(r'<g transform="translate\((\d+),(\d+)\)"',
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lambda m: f'<g transform="translate({m.group(1)},10)"', html)
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# Ajustamos la posición de las etiquetas de las palabras
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html = html.replace('dy="1em"', 'dy="-1em"')
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+
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# Ajustamos la posición de las etiquetas POS
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html = html.replace('dy="0.25em"', 'dy="-3em"')
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+
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# Aumentamos el tamaño de la fuente para las etiquetas POS
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html = html.replace('.displacy-tag {', '.displacy-tag { font-size: 14px;')
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+
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# Rotamos las etiquetas de las palabras para mejorar la legibilidad
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#html = html.replace('class="displacy-label"', 'class="displacy-label" transform="rotate(30)"')
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arc_diagrams.append(html)
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return arc_diagrams
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##################################################################################################################################
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def perform_advanced_morphosyntactic_analysis(text, nlp):
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doc = nlp(text)
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return {
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'pos_analysis': get_detailed_pos_analysis(doc),
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'morphological_analysis': get_morphological_analysis(doc),
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'sentence_structure': get_sentence_structure_analysis(doc),
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'arc_diagrams': generate_arc_diagram(doc),
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'repeated_words': get_repeated_words_colors(doc)
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}
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__all__ = ['perform_advanced_morphosyntactic_analysis']
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