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Claudine Tippins

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What is Transformation Based Learning?

It is a rule based algorithm used to automatically tag parts of speech. Using transformation rules, it changes the form of words in order to find out a suitable tag. It is used to find out the linguistic information from corpora ad gives out an ordered set of transformed tags.

Data Science

Answered Nov 28, 2019 · 2.5K Views Read answer →

Explain HMM.

HMM or Hidden Markov model is a process which predicts unknown variable by studying a set of known or observed variables. The taggers of HMM algorithm only requires a lexicon and untagged text for training the model. It calculates the probabilities of the parts of speech of words and to make the language model…

Data Science

Answered Nov 21, 2019 · 1.3K Views Read answer →

State and explain the different types of Reviews?

Below are different types of Reviews: ◼ Walkthroughs: This is especially effective for high-level documentations as software requirement specification and Functional requirement specification. Here the content of documents used is explained step by step by the author so an idea could be formed to reach an approval…

QA Testing

Answered Nov 20, 2019 · 1.0K Views Read answer →

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