This is probably due to the fact that we use a bigger corpus for word vector induction.
As linguists and lexicographers build bigger and bigger corpora (a major-league corpus now contains billions of words, thanks to readily available online texts), it becomes clearer just how "chunky" the language is, with certain words showing undeniable attractions to certain others.
Schlaug and colleagues saw this as evidence that musical training can bolster neural connections, but skeptics pointed to the possibility that the musicians had bigger corpora callosa to begin with.
In this paper we attempted to identify themes related to big data definitions in a large corpus of (bio medical literature through topic modelling.
Researchers have used such big data corpus in order to understand grammar, collective memory, technology adoption etc.
Lastly, the research goals differ: instead of finding the defining concepts for each of the themes, our approach identifies existing definitions in a biomedical big data corpus.
Most similar to our approach is a study by Hansmann and Niemeyer [16], which applied TM to a big data corpus to discover its characteristics.
The authors of "A Linear-RBF Multikernel SVM to Classify Big Text Corpora" use data mining techniques based on classifiers to big text corpora.
The fact that Skype Translator works at all is astounding; users will be perfectly aware of its limitations, and the more these technologies are used, the bigger the corpus of data, the better they're going to get.
Vipul Ved Prakash, the co-founder and chief technology officer, told Techcrunch in September that "The amount of data being created on Twitter plus Facebook today is more than the data being created on the rest of the web… Social data has become the bigger public corpus".
