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- Language_model abstract "A statistical language model assigns a probability to a sequence of m words 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 only calculate the probability of hitting an isolated word, without considering any influence from the words before or after the target. This leads to the Bag of words model, and turns out to generate a multinomial distribution over words.Estimating the probability of sequences can become difficult in corpora, in which phrases or sentences can be arbitrarily long and hence some sequences are not observed during training of the language model (data sparseness problem of overfitting). For that reason these models are often approximated using smoothed N-gram models.".
- Language_model wikiPageExternalLink kenlm.
- Language_model wikiPageExternalLink NGramLibrary.
- Language_model wikiPageExternalLink plm.htm.
- Language_model wikiPageExternalLink irstlm.
- Language_model wikiPageExternalLink randlm.
- Language_model wikiPageExternalLink variKN.
- Language_model wikiPageExternalLink srilm.
- Language_model wikiPageExternalLink csr.
- Language_model wikiPageExternalLink kylm.
- Language_model wikiPageExternalLink mitlm.
- Language_model wikiPageExternalLink DALM.
- Language_model wikiPageExternalLink lmsharp.codeplex.com.
- Language_model wikiPageExternalLink tr-10-98.pdf.
- Language_model wikiPageID "1911810".
- Language_model wikiPageRevisionID "604396869".
- Language_model hasPhotoCollection Language_model.
- Language_model subject Category:Language_modeling.
- Language_model subject Category:Markov_models.
- Language_model subject Category:Statistical_natural_language_processing.
- Language_model type Assistant109815790.
- Language_model type CausalAgent100007347.
- Language_model type LivingThing100004258.
- Language_model type MarkovModels.
- Language_model type Model110324560.
- Language_model type Object100002684.
- Language_model type Organism100004475.
- Language_model type Person100007846.
- Language_model type PhysicalEntity100001930.
- Language_model type Whole100003553.
- Language_model type Worker109632518.
- Language_model type YagoLegalActor.
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- Language_model comment "A statistical language model assigns a probability to a sequence of m words 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. ".
- Language_model label "Language model".
- Language_model label "語言模型".
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- Language_model sameAs Q3621696.
- Language_model sameAs Q3621696.
- Language_model sameAs Language_model.
- Language_model wasDerivedFrom Language_model?oldid=604396869.
- Language_model isPrimaryTopicOf Language_model.