Sentence examples for matching text in from inspiring English sources

The current study aims to explore the extent of matching text in published journal articles and how the number of authors and their various official languages influence the extent to which matching text appears.

It found matching text in 13 states, including Virginia.

We mention these criticisms because Turnitin is not a neutral tool for analysis and is not simply a digital archive of texts (Purdy, 2009).4 Our study used this common method for detecting matched text in a corpus of texts, but we wanted to look more carefully at the behaviors of faculty writers.

The enrichment employs interactive filters - users can match text in the description field, sort by significance or exclude terms based on their term depth or precision [ 10 ].

The matching method is based on automata technique with fuzzy approach which permits us to establish a matching text algorithm in practical having the runtime approximated to the runtime of well-known BM-matching text algorithm.

The approach is based on matching the text in web search results to designed lexico-syntactic patterns.

He said that while parking will be the first application and one that he expects other cities to use as well, there will be other applications coming out from matching up text in Mapillary's images, and subsequently being able to pinpoint exact latitude and longitude for specific locations.

Select Similar Songs: Selects all songs matching the text in the first column.

But the big selling point is the way it will pull in live feeds from PA during the weekend's matches: text commentary, in-game stats and post-match analysis.

Michael Grandage's production – for which 25% of seats are available at £10 on the day – matches the text in swiftness and clarity and is beautifully designed by Christopher Oram: the set hints at the grimy classical grandeur of the King's College quad and the rubble of the bomb-afflicted postwar London.

A distant outpost of you - particularly your humour.' One of the interesting things we noticed about @TicBot's ability to engage with people is that when we tried to make him more coherent – by programming him to match the text in someone's tweet and then getting him to reply saying something on the same subject, it didn't work as well as when his tweets were totally random.