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Mako is a template library written in Python. Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance. The Mako template is used by Reddit. [4] It is the default template language included with the Pylons [5] and Pyramid [6] web frameworks.
Text Encoding Initiative (TEI) – Guidelines for text encoding in the humanities, social sciences and linguistics. Textile (markup language) – Plaintext XHTML web text. Time Management Markup Language [15] (TMML) – For Time Management and rarely used for mobile alarm in 2008; troff (typesetter runoff), groff (GNU runoff)
The following table lists the various web template engines used in Web template systems and a brief rundown of their features. Engine (implementation) [ a ] Languages [ b ]
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
Chandler, a personal information manager including calendar, email, tasks and notes support that is not currently under development; Cinema 4D, a 3D art and animation program for creating intros and 3-Dimensional text. Has a built in Python scripting console and engine. Conch, implementation of the Secure Shell (SSH) protocol with Twisted
As embedded domain-specific language (eDSL) [4] also known as an internal domain-specific language, is a DSL that is implemented as a library in a "host" programming language. The embedded domain-specific language leverages the syntax, semantics and runtime environment (sequencing, conditionals, iteration, functions, etc.) and adds domain ...
It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a ...
In recent years, sentence embedding has seen a growing level of interest due to its applications in natural language queryable knowledge bases through the usage of vector indexing for semantic search. LangChain for instance utilizes sentence transformers for purposes of indexing documents. In particular, an indexing is generated by generating ...