ENGLISH NOUN CRYPTOTYPE MODELING PARAMETERS Olga O.Boriskina Voronezh State University Russia

Noun Cryptotype Is covert (VS. overt) linguistic category (B.L.Whorf); Is NOT morphologically marked in discourse; Is NOT homogeneous semantic-wise or thematic- wise; Is identified thanks to the Verb aptitude to act as a Noun classifier; Is organized on two basic principals: the modeling power of the Cryptotype Core nouns; and the ability of the Cryptotype Periphery nouns to imitate the Core nouns cognitive nature, that is, to borrow the Cryptotype Core nouns classifiers and thus to adapt to their combinatory characteristics.

CRYPTOTYPE HAND-HELD OBJECT SIMULATION

a series of techniques aiming at nouns distribution Cryptotype & inter-Cryptotype Noun Cryptotype Analysis a series of techniques aiming at nouns distribution within-Cryptotype & inter-Cryptotype 100 abstract nouns of very high frequency contexts from Corpus of American English and British National Corpus verbal classifiers with the CORE meaning to hold in hands to manipulate : to grasp, to grab, to grip, to catch, to snatch, to press, to squeeze, to get, to compress, to gain, to obtain, to hold, to receive Verbs and Adjectives act as noun Classifiers NB. Verbs and Adjectives act as noun Classifiers

Corpus excerpts Dorian Grays beautiful face will perhaps bring him danger and trouble It is the DNA, and the DNA alone, that carries the genetic information … we prefer to keep peace on the streets It was wicked of her to take all the love without paying for it. They are also given power to vote on fundamental structural changes to the company, such as altering the memorandum The city holds out the hope of a better education for the migrants' children

Table in MS Excel

Dominant Classifiers of CRYPTOTYPE HAND-HELD OBJECT to get combines with 98 out of 100 nouns. to bring takes 97 / 100. to make takes 95 / 100. to take takes 95 / 100. to give takes 94 / 100. to put takes 94 / 100. to keep takes 81 / 100. to hold takes 80 / 100.

Discourse frequency of Cryptotype-bound noun occurrence the Quantity of contexts where a noun has realized its Cryptotype Intention to fill in the O-position of a certain Cryptotype classifier corresponds to the noun Combinatory Selectivity to give information (1073), to collect information (283), to gather information (249),to get information (472), to obtain information (412),to receive information (302) the word combinations with degree of Combinatory Selectivity > 200 are called collocations in Lexicography the Cryptotype activity of noun information is represented in variable 3870

RADIUS INDEX of Cryptotype hand-held object PERIPHERY NOUNS

Advantages and perspectives of Cryptotype Taxonomy reconstruction Cognitive and communicative background of Cryptotype The properties of nouns in a Cryptotype are grounded on the quantitative analysis of Corpus The output of the Noun Cryptotype Analysis, represented in MS Excel, can be further used for a word combinatory simulation purposes The computational perspective of the EL Noun Cryptotype Taxonomy reconstruction may enable the researcher to implement a computational model of cryptotype-bound word combinations of the English language. to model the nouns dynamic combinatory profiles including the realization degree of nouns combinatory potential to endeavour Noun Cryptotype Combinatory Matrix, which is supposed to be relevant to the demands of text processing