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First, a text-selection method was designed to cover as many G2P text corpus contexts as possible.
The brain activation patterns related to each trial were then used to predict the semantic coordinates (for details, please see section: Semantic space from text corpus data).
The model of semantic space used in the decoding was estimated from a 1.5 billion token Internet-derived text corpus in lemmatized Finnish22.
This mapping can be used to predict BOLD activation patterns to any number of novel objects in the text corpus based on their semantic space coordinates.
For a given text corpus and allowable average entry error proportion, the method identifies the cursor duration and character layout that minimizes average entry time.
In this paper, we propose a technique that addresses this issue by analyzing a domain text corpus to extract verbs frequently applied for linking certain pairs of concepts.
This text corpus then underwent the following four separate analyses.
First of all the sparse text is split into two, a training text corpus and a development text corpus.
All the different surface forms of Table 3 are found in the Persian text corpus.
Text corpus size is an important issue when building a language model (LM).
Table 5 Some attributes of the phonetically balanced Icelandic text corpus.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com