Q.2:- Consider the following example Training data: I am Sam Sam I am Sam I like Sam I do like do I like Sam Assume that we use a bigram language model based on the above training data. I. What is the most probable next word predicted by the model for the following word sequences? " (1) Sam ... (2) (3) (4) Sam I do... Sam I am Sam... do I like...

Q.2:- Consider the following example Training data: I am Sam Sam I am Sam I like Sam I do like do I like Sam Assume that we use a bigram language model based on the above training data. I. What is the most probable next word predicted by the model for the following word sequences? " (1) Sam ... (2) (3) (4) Sam I do... Sam I am Sam... do I like...

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Can you please help me with this problem because I am struggling big time with this. I only need help with part D can you please show it step by step the context free solution part D. Can you please do it step by step leading up to the solution.Again I only need help with is with part D and only part D.
artificial intelegence
Question 8 nag Show that the following language is not linear. L = {w: n ≥ 0, na(w) ≥ nb(w) }. Full explain this question and text typing work only thanks
Incorrect downvote be sure in concept. Previous .
Give solution Theory of Automata
L = {am+n bm cn | m,n ≥ 1} over Σ = {a, b, c} A. Design PDA for L (with as less as states possible) B. Is L is regular language? C. Verify it by Pumping Lemma
Given: Language L2 = {w e {a,b}* | w contains substring aab} Construct the DFA representing the given language L2. Assume the layout of the DFA is as follows: ->A->B->C->D*. That is, the number of states are four (4) and A is the starting state and D is the accepting state. What is the next state for input pair (D,b) in the constructed DFA? A В C D
DO NOT COPY FROM OTHER WEBSITES Correct and detailed answer will be Upvoted else downvoted. Thank you!
Given: Language L2 = {w ϵ {a,b}* | w contains substring aab} Construct the DFA representing the given language L2. Assume the layout of the DFA is as follows: ->A->B->C->D*. That is, the number of states are four (4) and A is the starting state and D is the accepting state. How many self-loop edge/s in the constructed DFA representing the given language L2?
Consider the following simple Probabilistic Context-Free Grammar (PCFG), which we will use to parse the sentence "student types program with keyboard". S PP VP VP VP VP P ↑ ↑ ↑↑ NP VP P NP VP NP VP PP types program with 1.0 1.0 0.3 0.3 0.15 0.25 1.0 NP →>> NP PP NP →>> NP NP NP →>> student NP →>>> types NP →>> program NP →>> keyboard 0.25 0.2 0.2 0.07 0.14 0.14 a. Find each of the possible parses of the sentence using the grammar, and draw the parse tree for each of these parses. Show the probability at each node. b. For each parse, calculate its probability, which will be the product of the probabilities for all the rules used in generating it. Which one is the most probable and the most likely parse for a human reader?
NAT Lang processing: Please explain in detail Consider a CFG representing a phrase structure grammar for a natural language such as English, including the following rule (the period is part of the rule): S -> NP VP . In this rule, S, NP, and VP are non-terminal symbols, but we will assume that the period is a terminal symbol specifically representing a period (as opposed to some other end-of-sentence marker). So, we can interpret this rule as stating that a sentence can have the form of a noun phrase followed by a verb phrase followed by a period. (To implement a parser for grammars with rules like this, the tokenizer would have to treat periods as separate tokens.) Assume that you need to convert this grammar to Chomsky normal form (CNF), perhaps with the CKY parsing algorithm in mind. Using the procedure discussed in class, show the rules that might result from the conversion.