Language Model
636
浏览
0
关注

A statistical language model assigns a probability to a sequence of m words P(w_1,\ldots,w_m) by means of a probability distribution. Language modeling is used in many natural language processing applications such as speech recognition, machine translation, part-of-speech tagging, parsing and information retrieval. In speech recognition and in data compression, such a model tries to capture the properties of a language, and to predict the next word in a speech sequence. When used in information retrieval, a language model is associated with a document in a collection. With query Q as input, retrieved documents are ranked based on the probability that the document's language model would generate the terms of the query, P(Q|Md). The method to use language models in information retrieval is the query likelihood model. In practice, unigram language models are most commonly used in information retrieval, as they are sufficient to determine the topic from a piece of text. Unigram models...
[展开]
主要的会议/期刊
演化趋势
Chart will load here
Language Model文章数量变化趋势

Feedback
Feedback
Feedback
我想反馈:
排行榜