Sentence examples for heterogeneous text from inspiring English sources

The proposed algorithm can also be used in classification of heterogeneous text corpora into the other domains depending on the used development data.

As it was mentioned earlier, this problem is gaining on importance when using heterogeneous text corpora, in which we have no knowledge about the document boundaries.

This question is getting on importance with using heterogeneous text corpora, in which we do not have any knowledge about the document boundaries.

This simple and effective algorithm classifies short text segments (such as paragraphs) from heterogeneous text corpora gathered from various resources to the in-domain and out-of-domain data.

Note that the morphologically annotated corpus were then used in the process of extraction of key phrases from development data set of the proposed algorithm for classification of heterogeneous text data.

This paper proposed an algorithm for classification of heterogeneous text corpora to the in-domain and out-of-domain data with the aim of increasing robustness and quality of the statistical language modeling in task-oriented continuous speech recognition.

Taken together, these heterogeneous texts provide a wealth of information and viewpoints concerning the history, content, and professionalization of medical ethics and bioethics, primarily in an American context.

The Corpus was a collection of heterogeneous texts, dealing both with practical magic and the mystical teachings attributed to Hermes Trismegistus, an Egyptian sage who purportedly lived at the time of Moses and was first in the lineage of a tradition of wisdom (the so-called sapientia perennis).

Most of the faults reported by The Headquarters for Earthquake Research Promotion (2016) (red curves) are recognized as normal faults with NE SW-trending, but we fiNE SW-trendingulting style is spatially more heterogeneous (see text for discussion).

Initially we had planned to achieve a greater level of granularity, breaking down the data on impact into more categories; however, we found the ways in which the data was used by NICE was so heterogeneous (use of text, tables, trial data, meta-analyses in varying amounts and combinations) that this couldn't be done.

This course will allow art history majors to examine a heterogeneous selection of texts that have a crucial bearing on the formation of concepts of modernity and new aesthetic practices in 19th-century Europe and North America.