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Syntax understanding is one of the core challenges in NLP, as natural languages are inherently ambiguous and complex. Developing systems that can accurately parse and interpret the syntactic structure of human language is crucial for tasks such as machine translation, sentiment analysis, and information retrieval. Data replication : Not a core issue in NLP; it's more relevant to data storage. Linear regression modeling : A statistical technique not specific to NLP. Memory management : More related to computer systems and programming, not NLP. Bandwidth limitation : Concerns network performance, not language processing.
The probability of getting 9 cards of the same suit in one hand at a game of bridge is
The null hypothesis in ANOVA one-way classification, the study of the variances due to k different sources, is:
Which of the following options is correct when data is classified on the basis of attributes?
Two data set of size 9 and 6 have standard deviation 3 and 4 respectively and arithmetic means 3 and 3 respectively. The standard deviation of combined...
The median of the following observations 10, 11, 9, 12, 10,10, 12, 10, 9,11 is:
With reference to index numbers, which of the following statements is true?
From standard pack of 52 cards, 3 cards are drawn at random without replacement. The probability of drawing a king, a queen and a jack in order is
For the variables X and Y, we collect 4 observations with ∑ X = 10,∑ Y = 14,∑ X2 = 30,∑ Y2 = 54,∑ XY = 31 The regressio...