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The CAT-iq profiles are split between voice and data service, with the following mandatory features: [1] CAT-iq 1.0 "HD Voice" (ETSI TS 102 527-1) Narrow-band (32 kbit/s G.726 ADPCM) and wideband (64 kbit/s G.722 sub-band ADPCM) audio, calling party line and name identification (CLIP, CNAP)
The XSLT document transformation specifies how to transform an XML document into new document (usually XML, but other formats, such as plain text are supported). [4] Typically, input documents are XML files, but anything from which the processor can build an XQuery and XPath Data Model can be used, such as relational database tables or ...
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
The identity transform is a data transformation that copies the source data into the destination data without change. The identity transformation is considered an essential process in creating a reusable transformation library .
Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [1] [2] It learns to represent text as a sequence of vectors using self-supervised learning.
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.
CatBoost [6] is an open-source software library developed by Yandex.It provides a gradient boosting framework which, among other features, attempts to solve for categorical features using a permutation-driven alternative to the classical algorithm. [7]
The Hadamard transform H m is a 2 m × 2 m matrix, the Hadamard matrix (scaled by a normalization factor), that transforms 2 m real numbers x n into 2 m real numbers X k.The Hadamard transform can be defined in two ways: recursively, or by using the binary (base-2) representation of the indices n and k.