Natural-language processing (NLP) algorithms are now able to generate protein sequences and predict virus mutations. The…
Category: NLP
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention)
Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like…
Personality on Twitter
Natural Language Processing (NLP) is used to analyze and classify personality types. Predicting the personality of…
Part-of-speech
Part-of-speech (POS) tagging, also called grammatical tagging, to determine whether a word in the sentence is…
Word segmentation
Word segmentation or tokenization is the division of a string of written language into its component…
Contextual graph model
The QA system uses an ontology developed by the DBPedia project[1]. DBpedia is a crowd-sourced community…
FAQ in Vietnamese
Question and answers (Q&A) in natural language processing research and give insights on the human-machine interface.…
Vietnamese: n-grams
For language, most NLP algorithms have focused on the frequency of an individual word as the…
Trilingual NLP
I will explain my thoughts and approach statistically to NLP, such as Statistical Machine Translation (SMT)…
Zipf’s Law
Outside of language, word frequency, Zipf’s law applies to the city population[1], firm size [2], and…