By appearance of social media, people are coming to be able to transmit information easily on a personal level. However, because users of social media generally spend little time on describing information, low-quality texts are transmitted and it blocks the spread of information. On transmitted texts in social media, commas and linefeeds are inserted incorrectly, and it becomes a factor of low-...

Automatic extraction of information about authors of texts (gender, age, psychological type, etc.) based on the analysis of linguistic parameters has gained a particular significance as there are more online texts whose authors either avoid providing any personal data or make it intentionally deceptive despite of it being of practical importance in marketing, forensics, sociology. These studies...

We analyze the rank-frequency distributions of words in selected English and Polish texts. We compare scaling properties of these distributions in both languages. We also study a few small corpora of Polish literary texts and find that for a corpus consisting of texts written by different authors the basic scaling regime is broken more strongly than in the case of comparable corpus consisting o...

We investigate the differences between language models compiled from original target-language texts and those compiled from texts translated to the target language. Corroborating established observations of Translation Studies, we demonstrate that the latter are significantly better predictors of translated sentences than the former, and hence fit the reference set better. Furthermore, translat...

The paper outlines a text analytic project in progress on a corpus of entries in the historical burgh and council registers from Aberdeen, Scotland. Some preliminary output of the analysis is described. The registers run in a near-unbroken sequence form 1398 to the present day; the early volumes are a UNESCO UK listed cultural artefact. The study focusses on a set of transcribed pages from 1530...

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Introduction Conclusions References

NLP techniques have been widely adopted in the biomedical domain to perform various text-analytics tasks, such as searching literature and extracting deriving new knowledge from data. One type of data is clinical texts (e.g., cases medical records), which typically contain physicians’ notes about a patient’s health, including previous history (symptoms, diseases, lab exams, treatm...