Search results
Results from the WOW.Com Content Network
John A. Hawkins's Performance-Grammar Correspondence Hypothesis (PGCH) states that the syntactic structures of grammars are conventionalized based on whether and how much the structures are preferred in performance. [18] Performance preference is related to structure complexity and processing, or comprehension, efficiency. Specifically, a ...
Adaptive performance involves a mixture of different coping strategies. Because adaptive performance concerns positive aspects of behaviors, it is more closely related to coping strategies that have positive effects, such as active coping and problem-focused coping.
Shutt categorizes adaptive grammar models into two main categories: [3] [15] Imperative adaptive grammars vary their rules based on a global state changing over the time of the generation of a language. Declarative adaptive grammars vary their rules only over the space of the generation of a language (i.e., position in the syntax tree of the ...
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
The first published English grammar was a Pamphlet for Grammar of 1586, written by William Bullokar with the stated goal of demonstrating that English was just as rule-based as Latin. Bullokar's grammar was faithfully modeled on William Lily's Latin grammar, Rudimenta Grammatices (1534), used in English schools at that time, having been ...
The grammar–translation method is a method of teaching foreign languages derived from the classical (sometimes called traditional) method of teaching Ancient Greek and Latin. In grammar–translation classes, students learn grammatical rules and then apply those rules by translating sentences between the target language and the native language.
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.