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{{short description|Statistical method for automatically identifying words by part of speech}} In [[computational linguistics]], a '''trigram tagger''' is a statistical method for [[part-of-speech tagger|automatically identifying words as being ...

{{Short description|Software suite for natural language processing}} | name = Natural Language Toolkit ...

| caption = MAchine Learning for LanguagE Toolkit | programming language = [[Java (programming language)|Java]] ...

'''LinguaStream''' is a generic platform for [[natural language processing]], based on incremental enrichment of electronic documents. LinguaStream is ...ntax]], [[semantics]], [[discourse]] or [[statistical]]. Each stage of the processing stream discovers and produces new information, on which the subsequent step ...

...uency distribution of every bigram in a string is commonly used for simple statistical analysis of text in many applications, including in [[computational linguis ...nual meeting on Association for Computational Linguistics - |chapter=A new statistical parser based on bigram lexical dependencies |date=1996-06-24 |pages=184–191 ...

...he biggest and the most important [[Language corpus|corpus]] of [[Croatian language|Croatian]]. Its compilation started in 1998 at the Institute of Linguistics ...atures complex and more elaborated queries over corpus, different types of statistical results, total or partial word lists according to different query criteria ...

...s/cryptography/Letter%20Frequencies.html Letter Frequencies in the English Language]". [[Context (language use)|Context]] is very important, varying analysis rankings and percentages ...

...] can also be considered noisy with respect to today's knowledge about the language. Such text contains important historical, religious, ancient medical knowle ...the use of non-standard words can often hinder standard [[natural language processing]] tools such as [[part-of-speech tagging]] ...

...ployed in [[Natural language processing]] applications, such as parsing of natural languages, or for decoding of [[error correcting code]]s where the techniqu ...x Waibel. [https://www.aclweb.org/anthology/P97-1047 Decoding algorithm in statistical machine translation]. Proceedings of the 8th conference on European chapter ...

...factored language model''' ('''FLM''') is an extension of a conventional [[language model]] introduced by Jeff Bilmes and Katrin Kirchoff in 2003. In an FLM, A major advantage of factored language models is that they allow users to specify linguistic knowledge such as the ...

{{About|aligning natural language words|aligning groups of bytes|data structure alignment}} ...are translations of one another. Word alignment is typically done after [[Statistical machine translation#Sentence alignment|sentence alignment]] has already ide ...

* [[Semantic role labeling]], an activity of natural language processing * [[Statistical relational learning]], a subdiscipline of artificial intelligence ...

...d in [[CRM114 (program)|CRM114]] and other spam filters to filter based on statistical patterns of [[transition probabilities]] between [[Word|words]] or other [[ ...e those more obscure conditional relationships are more typical of natural language messages including both genuine messages and spam, hidden Markov models are ...

{{Short description|Digital collections of natural language data}} ...'' is a dataset, consisting of natively digital and older, digitalized, [[language resource]]s, either annotated or unannotated. ...

| name = Language Weaver | url = {{URL|https://www.rws.com/language-weaver/}} ...

In this shallow approach, [[heuristic (computer science)|statistical heuristics]] are used to identify the most salient sentences of a text. Sen {{Natural Language Processing}} ...

* [[Blinder–Oaxaca decomposition]], a statistical method that explains the difference in the means of a dependent variable be * [[Decomposition of time series]], a statistical task that deconstructs a time series into several components ...

...dexing''' ('''PLSI''', especially in information retrieval circles) is a [[statistical technique]] for the analysis of two-mode and co-occurrence data. In effect, ...document retrieval and categorization''], [[Advances in Neural Information Processing Systems]] 12, pp-914-920, [[MIT Press]], 2000</ref> ...

...[[free-text]] records. These records could be any type of mainly [[natural language|unstructured text]], such as [[newspaper article]]s, real estate records or ...ieval]] where the information is stored primarily in the form of [[natural language|text]]. Text databases became decentralized thanks to the [[personal comput ...

...ast2=Schütze |first2=H. |title=Foundations of Statistical Natural Language Processing |page=35 |publisher=The MIT Press |year=1999}}</ref> The system was based o ...section 1.4.5 of their book ''Foundations of Statistical Natural Language Processing''. Cambridge, Mass: MIT Press, 1999. {{ISBN|9780262133609}}. They cite an a ...