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Analyzing Bayesian Crosslingual Transfer in Topic Models
We introduce a theoretical analysis of crosslingual transfer in probabilistic topic models.
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models
Probabilistic topic modeling is a popular choice as the first step of crosslingual tasks to enable knowledge transfer and extract multilingual features.
Learning Multilingual Topics from Incomparable Corpora
Multilingual topic models enable crosslingual tasks by extracting consistent topics from multilingual corpora.
Learning Multilingual Topics from Incomparable Corpus
Multilingual topic models enable crosslingual tasks by extracting consistent topics from multilingual corpora.
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
Multilingual topic models enable document analysis across languages through coherent multilingual summaries of the data.
CADET: Computer Assisted Discovery Extraction and Translation
It combines a multitude of analytics together with a flexible environment for customizing the workflow for different users.
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