all AI news
Multilingual Search with Subword TF-IDF. (arXiv:2209.14281v2 [cs.CL] UPDATED)
Sept. 30, 2022, 1:17 a.m. | Artit Wangperawong
cs.CL updates on arXiv.org arxiv.org
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 …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Analyst (H/F)
@ Business & Decision | Montpellier, France
Machine Learning Researcher
@ VERSES | Brighton, England, United Kingdom - Remote