Statistical natural language processing

probabilistic model of a natural or formal language, or generally of elements of signal sequences

process of analysing text to extract information from it

Glottochronology (from Attic Greek 'tongue, language' and 'time') is the part of lexicostatistics which involves comparative linguistics and deals with the chronological relationship between languages.

In information retrieval, tf–idf (term frequency–inverse document frequency, TF*IDF, TFIDF, TF–IDF, or Tf–idf) is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. Like the bag-of-words model, it models a document as a multiset of words, without word order. It is a refinement over the simple bag-of-words model, by allowing the weight of words to depend on the rest of the corpus.

machine translation paradigm

suite for natural language processing (NLP)

metaphor to describe the theory that large language models, though able to generate plausible language, do not understand the meaning of the language they process

type of model

machine learning based toolkit for the processing of natural language text

generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar

thumb|350px|Precision and recall In statistical analysis of binary classification and information retrieval systems, the F-score or F-measure is a measure of predictive performance. It is calculated from the precision and recall of the test, where the precision is the number of true positive results divided by the number of all samples predicted to be positive, including those not identified correctly, and the recall is the number of true positive results divided by the number of all samples that should have been identified as positive. Precision is also known as positive predictive value, and

Grammar model in linguistics

language model with relatively few parameters

Method for analyzing semantic data

sub-field of computer-aided translation

Czech linguist (1932–2010)

statistical machine translation system

statistical technique for smoothing categorical data

subfield of computational linguistics and natural language processing