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Understanding Statistical Language Models by simranjariyal71 is a document available to read on EtoBox.
What is Understanding Statistical Language Models about?
Statistical language modeling involves creating probabilistic models to predict the next word in a sequence based on preceding words, utilizing methods like N-grams, exponential models, and continuous space models. These models find applications in speech recognition, machine translation, sentiment analysis, text suggestions, and parsing tools. While traditional N-gram models are easy to train and effective, they have limitations in handling large datasets with unique words.
- Author
- simranjariyal71
- Language
- EN