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While word lists used were originally based on the 100-item Swadesh list, it was statistically determined that a subset of 40 of the 100 items produced just as good if not slightly better classificatory results than the whole list. [9] So subsequently word lists gathered contain only 40 items (or less, when attestations for some are lacking).
For every input position, the parser generates a state set. Each state is a tuple (X → α • β, i), consisting of the production currently being matched (X → α β) the current position in that production (visually represented by the dot •) the position i in the input at which the matching of this production began: the origin position
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Goldberg and Levy point out that the word2vec objective function causes words that occur in similar contexts to have similar embeddings (as measured by cosine similarity) and note that this is in line with J. R. Firth's distributional hypothesis. However, they note that this explanation is "very hand-wavy" and argue that a more formal ...
In practice, the available CLASS words would be a list of less than two dozen terms. CLASS words, typically positioned on the right (suffix), served much the same purpose as Hungarian notation prefixes. The purpose of CLASS words, in addition to consistency, was to specify to the programmer the data type of a particular data field. Prior to the ...
Python's tuple assignment, fully available in its foreach loop, ... // return list of modified elements items map {x => doSomething (x)} items map multiplyByTwo for ...
This list contains acronyms, initialisms, and pseudo-blends that begin with the letter J. For the purposes of this list: acronym = an abbreviation pronounced as if it were a word, e.g., SARS = severe acute respiratory syndrome , pronounced to rhyme with cars
In computer science, an in-place algorithm is an algorithm that operates directly on the input data structure without requiring extra space proportional to the input size. In other words, it modifies the input in place, without creating a separate copy of the data structure.