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      Measuring cross-lingual semantic similarity across European languages

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      Author
      Şenel, Lütfü Kerem
      Yücesoy, V.
      Koç, A.
      Çukur, Tolga
      Date
      2017
      Source Title
      Proceedings of the 40th International Conference on Telecommunications and Signal Processing, TSP 2017
      Publisher
      IEEE
      Pages
      359 - 363
      Language
      English
      Type
      Conference Paper
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      Abstract
      This paper studies cross-lingual semantic similarity (CLSS) between five European languages (i.e. English, French, German, Spanish and Italian) via unsupervised word embeddings from a cross-lingual lexicon. The vocabulary in each language is projected onto a separate high-dimensional vector space, and these vector spaces are then compared using several different distance measures (i.e., correlation, cosine etc.) to measure their pairwise semantic similarities between these languages. A substantial degree of similarity is observed between the vector spaces learned from corpora of the European languages. Null hypothesis testing and bootstrap methods (by resampling without replacement) are utilized to verify the results.
      Keywords
      Cross-lingual semantic similarity
      Language models
      Natural language processing
      Semantic similarity
      Word embedding
      Natural language processing systems
      Permalink
      http://hdl.handle.net/11693/37656
      Published Version (Please cite this version)
      https://doi.org/10.1109/TSP.2017.8076005
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 183
      • Department of Electrical and Electronics Engineering 3524
      • National Magnetic Resonance Research Center (UMRAM) 175
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