English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The paper considers a problem of natural language processing of Chinese texts. One of the relevant tasks in this area is automatic fact acquisition by a query since existing automatic translators are useless for this task. The suggested approach includes a syntactic analysis of phrases and matching parts of speech founded with a formalized query. The purpose of the study is direct fact extracting from original texts without translation. For this purpose the paper suggests to use an approach based on syntactic analysis of sentences from a text with further comparison of the found parts of speech with a formalized subject–object–predicate query. A key feature of the proposed approach is a lack of a segmentation phase of a hieroglyph sequence in a sentence by words. The bottleneck at this task is a dictionary because interpretation of a sentence is impossible without even a single word in the dictionary. To eliminate this problem the authors propose to identify a sentence model by function words while restraint of the dictionary could be compensated by automatic building of a thesaurus using statistical processing of a document corpus. The suggested approach is tested on a small topic where it demonstrates its robustness. There is also an analysis of temporal properties of the developed algorithm. As the proposed algorithm uses a direct-search method, the parsing speed for real tasks could be unacceptably low and this is a subject for further research.

Автоматический синтаксический анализ китайских предложений при ограниченном словаре