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[4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.
The program can create a complete text representation of any group of objects by calling these methods, which are almost always already implemented in the base associative array class. [23] For programs that use very large data sets, this sort of individual file storage is not appropriate, and a database management system (DB) is required. Some ...
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 ...
sdcv is a simple, cross-platform text-base utility for work with dictionaries in StarDict's format. The word from "list of words" may be string with leading '/' for using Fuzzy search algorithm, string may contain '?' and '*' for using regexp search. It works in interactive and non-interactive mode.
In 2010, maintenance of the dictionary was moved to an online database system. The dictionary is managed by an editorial board including Breen and eight other editors. [7] From June 2021, a version of JMdict includes example sentences selected from the Tatoeba Corpus. [8]
In a database, a table is a collection of related data organized in table format; consisting of columns and rows.. In relational databases, and flat file databases, a table is a set of data elements (values) using a model of vertical columns (identifiable by name) and horizontal rows, the cell being the unit where a row and column intersect. [1]
A dictionary coder, also sometimes known as a substitution coder, is a class of lossless data compression algorithms which operate by searching for matches between the text to be compressed and a set of strings contained in a data structure (called the 'dictionary') maintained by the encoder. When the encoder finds such a match, it substitutes ...
Standard examples of data-driven languages are the text-processing languages sed and AWK, [1] and the document transformation language XSLT, where the data is a sequence of lines in an input stream – these are thus also known as line-oriented languages – and pattern matching is primarily done via regular expressions or line numbers.