Sentence examples for vocabulary length from inspiring English sources

Exact(1)

Developed based on authentic materials (corpus and field notes), the test items were piloted with native speakers and comparable examinees and were standardized to reduce the influences of potentially confounding variables (e.g., unfamiliar grammar and vocabulary, length of prompts and options, real-life authenticity).

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They were carefully selected so that they would be suitable for the level of the participants with respect to vocabulary, sentence length, syntax, and content.

Children whose disabilities require AAC often experience developmental delays in language skills such as vocabulary knowledge, length of sentences, syntax, and impaired pragmatic skills.

Consider in your comparison the following features: key information, vocabulary, average sentence length, examples, metaphors, etc".

These domains were assessed by tests of expressive vocabulary and mean length of utterance, two important measures of expressive language competence.

All the terms selected for both development and test sets aimed to build a realistic scenario for STD, by including high occurrence terms, low occurrence terms, foreign terms, single-word and multi-word terms, in-vocabulary and out-of-vocabulary terms, and different length terms.

All the terms selected for both sets (training/ development and test) aimed at building a realistic scenario for STD, by including high occurrence terms, low occurrence terms, foreign terms, single-word and multi-word terms, in-vocabulary and out-of-vocabulary terms, and different length terms.

Lastly, lexical features are associated with word-level characteristics such as word frequency, vocabulary richness, frequency, word length distribution, etc. [13].

Even though this was not my first time listening to a church worthy prayer (in length and vocabulary) within the walls of government, it still shocked me when the council member asked that "everything we do tonight be for your glory God" and ended with "in Jesus name, Amen".

Beyond Zipf's law for word frequencies, here we focus on burstiness, Heaps' law describing the sublinear growth of vocabulary size with the length of a document, and the topicality of document collections, which encode correlations within and across documents absent in random null models.

It thus enables one to study the influence on the inferred evolutionary trees of the distance computations based on different selections of word length and vocabulary composition.

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