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The part-of-speech field is used to disambiguate 770 of the words which have differing pronunciations depending on their part-of-speech. For example, for the words spelled close, the verb has the pronunciation / ˈ k l oʊ z /, whereas the adjective is / ˈ k l oʊ s /. The parts-of-speech have been assigned the following codes:
This list contains Germanic elements of the English language which have a close corresponding Latinate form. The correspondence is semantic—in most cases these words are not cognates, but in some cases they are doublets, i.e., ultimately derived from the same root, generally Proto-Indo-European, as in cow and beef, both ultimately from PIE *gʷōus.
Text world theory and schema theory seek to help people understand how we process language and create mental representations when we read or listen to something. [1] This theory figuratively describes a piece of language (such as a text, a speech or conversation) as a "world" that the reader, hearer or interlocutor must "build" in their mind. [2]
Tmesis – separating the parts of a compound word by a different word (or words) to create emphasis or other similar effects. Topos – a line or specific type of argument. Toulmin model – a method of diagramming arguments created by Stephen Toulmin that identifies such components as backing, claim, data, qualifier, rebuttal, and warrant.
IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...
In linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would mean a total overlap between vocabularies, whereas 0 means there are no common words. There are different ways to define the lexical similarity and the results vary accordingly.
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
In other words, it is the source of related words in different languages. For example, the etymon of both Welsh ceffyl and Irish capall is the Proto-Celtic *kaballos (all meaning horse). Descendants are words inherited across a language barrier, coming from a particular etymon in an ancestor language. For example, Russian мо́ре and Polish ...