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An example of Neyman–Pearson hypothesis testing (or null hypothesis statistical significance testing) can be made by a change to the radioactive suitcase example. If the "suitcase" is actually a shielded container for the transportation of radioactive material, then a test might be used to select among three hypotheses: no radioactive source ...
The distributional hypothesis in linguistics is derived from the semantic theory of language usage, i.e. words that are used and occur in the same contexts tend to purport similar meanings. [ 2 ] The underlying idea that "a word is characterized by the company it keeps" was popularized by Firth in the 1950s.
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use. [3] [4] [5]
Statistical semantics is a subfield of computational semantics, which is in turn a subfield of computational linguistics and natural language processing. Many of the applications of statistical semantics (listed above) can also be addressed by lexicon -based algorithms, instead of the corpus -based algorithms of statistical semantics.
Co-occurrence in this linguistic sense can be interpreted as an indicator of semantic proximity or an idiomatic expression. Corpus linguistics and its statistic analyses reveal patterns of co-occurrences within a language and enable to work out typical collocations for its lexical items.
Statistical methods have been used for the purpose of quantitative analysis in comparative linguistics for more than a century. During the 1950s, the Swadesh list emerged: a standardised set of lexical concepts found in most languages, as words or phrases, that allow two or more languages to be compared and contrasted empirically.
Pages in category "Linguistic theories and hypotheses" The following 36 pages are in this category, out of 36 total. This list may not reflect recent changes .
Developed by Merrill Swain, the comprehensible output (CO) hypothesis states that learning takes place when learners encounter a gap in their linguistic knowledge of the second language (L2). By noticing this gap, learners become aware of it and may be able to modify their output so that they learn something new about the language. [ 1 ]