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Es Core News Sm Model

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

Es Core News Sm Model has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

6 facts·5 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), designed for(1), loaded by(1)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Designed fordesignedFor

Loaded byloadedBy

  • nlp_es[2]sourceall time · 45e46387 Fb70 4599 B1f3 C169ac6a375b

Supports LanguagesupportsLanguage

  • spanish[2]sourceall time · 45e46387 Fb70 4599 B1f3 C169ac6a375b

Rdfs:labelrdfs:label

  • es_core_news_sm[2]sourceall time · 45e46387 Fb70 4599 B1f3 C169ac6a375b

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

6 undated
—
designedForbeam/7f886dab-e8d2-4e04-8e22-cc0b989728de
ex:spanish-language
—
loadedBybeam/45e46387-fb70-4599-b1f3-c169ac6a375b
nlp_es
—
labelbeam/45e46387-fb70-4599-b1f3-c169ac6a375b
es_core_news_sm
—
typebeam/45e46387-fb70-4599-b1f3-c169ac6a375b
ex:SpacyModel
—
typebeam/7f886dab-e8d2-4e04-8e22-cc0b989728de
ex:SpacyNewsModel
—
supportsLanguagebeam/45e46387-fb70-4599-b1f3-c169ac6a375b
spanish

References (2)

2 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/7f886dab-e8d2-4e04-8e22-cc0b989728de
    • full textbeam-chunk
      text/plain1 KBdoc:beam/7f886dab-e8d2-4e04-8e22-cc0b989728de
      Show excerpt
      except langdetect.LangDetectException as e: logging.error(f"Failed to detect language: {e}") return 'unknown' def tokenize_text(text, lang): logging.debug(f"Tokenizing text: {text} in language: {lang}") if lang …
  2. [2]beam-chunk4 facts
    customctx:claims/beam/45e46387-fb70-4599-b1f3-c169ac6a375b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/45e46387-fb70-4599-b1f3-c169ac6a375b
      Show excerpt
      detected_lang = detect_language(cleaned_text) tokens = tokenize_text(cleaned_text, detected_lang) final_tokens = postprocess_tokens(tokens) print(final_tokens) ``` #### Option 3: Hybrid Design 1. **Preprocessing**: Basic cleaning and norm…

See also

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