Multilingual Semantic Word Similarity System

A Multilingual Semantic Word Similarity System is a Semantic Word Similarity System that is a Multilingual NLP System.

• Context:
  • It can measure the similarity distance of a monolingual word-pairs for several languages.
• Example(s):
  • In SemEval-2017 Task 2, the semantic word similarity rating for the Spanish word-pair (zumo, batido) is 3.00, for the German word-pair (Tuberkulose, LED) is 0.25.
  • Luminoso,
  • …
• Counter-Example(s):
  • a Monolingual Semantic Word Similarity System,
  • a Cross-Lingual Semantic Word Similarity System.
• See: Monolingual NLP System, Cross-lingual NLP System, Machine Learning Translation System.

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