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doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [14] [15] doc2vec has been implemented in the C, Python and Java/Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.
Many stories, especially in the fantasy genre, feature an object or objects with some great magical power, such as a crown, sword, or jewel. Often what drives the plot is the hero's need to find the object and use it for good, before the villain can use it for evil, or if the object has been broken by the villains, to retrieve each piece that must be gathered from each antagonist to restore it ...
Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression.
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
Character generators are primarily used in the broadcast areas of live television sports or television news presentations, given that the modern character generator can rapidly (i.e., "on the fly") generate high-resolution, animated graphics for use when an unforeseen situation in a broadcast dictates an opportunity for breaking news coverage ...
The tool is usually useful for entering special characters. [1] It can be opened via the command-line interface or Run command dialog using the 'charmap' command.. The "Advanced view" check box can be used to inspect the character sets in a font according to different encodings (), including Unicode code ranges, to locate particular characters by their Unicode code point and to search for ...
A lookahead LR parser (LALR) generator is a software tool that reads a context-free grammar (CFG) and creates an LALR parser which is capable of parsing files written in the context-free language defined by the CFG. LALR parsers are desirable because they are very fast and small in comparison to other types of parsers.
In the following, we use Earley's dot notation: given a production X → αβ, the notation X → α • β represents a condition in which α has already been parsed and β is expected. Input position 0 is the position prior to input. Input position n is the position after accepting the nth token.