Multilingual Search with Subword TF-IDF. (arXiv:2209.14281v2 [cs.CL] UPDATED)

Multilingual search can be achieved with subword tokenization. The accuracy
of traditional TF-IDF approaches depend on manually curated tokenization, stop
words and stemming rules, whereas subword TF-IDF (STF-IDF) can offer higher
accuracy without such heuristics. Moreover, multilingual support can be
incorporated inherently as part of the subword tokenization model training.
XQuAD evaluation demonstrates the advantages of STF-IDF: superior information
retrieval accuracy of 85.4% for English and over 80% for 10 other languages
without any heuristics-based preprocessing. The software to reproduce …

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