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By 1964, Bunting's poetic corpus consisted of a few dozen lyrics and translations, and five longer pieces which he called sonatas.
The details of how these tools were applied in the analysis of the corpus consisted of two steps.
The corpus consisted of a total of 21,322 words and 2492 misspellings, which were divided into four main categories and several subcategories.
Their corpus consisted of data which were artificially created from a set of multiple public places and gunshot sound events extracted from the national French public radio.
The entire CHEMDNER corpus consisted of a collection of 10,000 recently published PubMed abstracts representative of various chemistry-related disciplines.
Their corpus consisted of recordings made in the CLIPS laboratory, files of the "Sound Scene Database in Real Acoustical Environment" (RCWP, Japan).
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Their corpus consists of four widely studied Ming-Qing Dynasty novels.
Normally, the training corpus and test corpus consist of unconstrained utterances from different speakers.
Each corpus consists of a pair of synchronous audio and visual streams of frames.
A corpus consisting of eight tests, four midterm and four final tests, was collected.
A speech corpus consisting of 81 disyllabic utterances was recorded from a native Thai speaker.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com