Papers with Multilingual topic models

3 papers
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation (N18-1)

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Challenge: Existing metrics to evaluate multilingual topic quality are inadequate for multilingual document analysis.
Approach: They propose a new intrinsic evaluation metric for multilingual topic models that correlates well with human judgments of multilingual coherence and performance in downstream applications.
Outcome: The proposed model improves the performance of multilingual topic models in low-resource languages and with human judgments of multilinguistic topic coherence.
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability (D19-1)

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Challenge: Existing models implicitly assume that documents in different languages are highly comparable, a false assumption.
Approach: They propose a multilingual topic model that learns weighted topic links and connects cross-lingual topics only when the dominant words defining them are similar.
Outcome: The proposed model outperforms existing models in low-resource language tasks and outperformed LDA and previous models in classification tasks using documents’ topic posteriors as features.
Learning Multilingual Topics from Incomparable Corpora (C18-1)

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Challenge: Existing models require parallel or comparable training, which limits their ability to generalize.
Approach: They propose a method that demystifies the knowledge transfer mechanism behind multilingual topic models by defining an alternative but equivalent formulation.
Outcome: The proposed model learns coherent multilingual topics from partially and fully incomparable corpora with limited amounts of dictionary resources.

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