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However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index. Pandas also supports the syntax data.iloc[n], which always takes an integer n and returns the nth value, counting from 0. This allows a ...
This project is used by several other Chinese-English projects. The Unihan Database uses CEDICT data for most of its information about character compounds, but this is auxiliary and is explicitly not a part of the main Unicode database. [1] Features: Traditional Chinese and Simplified Chinese; Pinyin (several pronunciations) American English ...
Example using APL to index ⍳ or find (or not find) elements in a character vector: First, variable Letters is assigned a vector of 5-elements, in this case - letters of the alphabet. The shape ⍴ or character vector-length of Letters is 5. Variable FindIt is assigned what to search for in Letters and its length is 4 characters.
Grammatical abbreviations are generally written in full or small caps to visually distinguish them from the translations of lexical words. For instance, capital or small-cap PAST (frequently abbreviated to PST) glosses a grammatical past-tense morpheme, while lower-case 'past' would be a literal translation of a word with that meaning.
The previous character dictionary published in China was the Hanyu Da Zidian, introduced in 1989, which contained 54,678 characters.In Japan, the 2003 edition of the Dai Kan-Wa jiten has some 51,109 characters, while the Han-Han Dae Sajeon completed in South Korea in 2008 contains 53,667 Chinese characters (the project having lasted 30 years, at a cost of 31,000,000,000 KRW or US$25 million [4 ...
William Whitaker's Words is a computer program that parses the inflection or conjugation of a given Latin word entered by the user, and also translates the root into English. . Conversely, given a basic English word, the program can output a Latin translation, generally with several possible Latin alternatives, although the database of translatable English words is not comprehen
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 ...
Sparse dictionary learning (also known as sparse coding or SDL) is a representation learning method which aims to find a sparse representation of the input data in the form of a linear combination of basic elements as well as those basic elements themselves. These elements are called atoms, and they compose a dictionary.