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More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models
Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences.
More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models
Traditionally, Latent Dirichlet Allocation (LDA) ingests words in a collection of documents to discover their latent topics using word-document co-occurrences.
Syllable-based Neural Thai Word Segmentation
Word segmentation is a challenging pre-processing step for Thai Natural Language Processing due to the lack of explicit word boundaries. The previous systems rely on powerful neural network architecture alone and ignore linguistic substructures of Thai words.
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