CQL – global conditions
Comparing tokens in a query since manatee 2.32 A global condition is used to compare tokens between each other and…
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Comparing tokens in a query since manatee 2.32 A global condition is used to compare tokens between each other and…
…whole corpus. The calculation of Average Logarithmic Distance Frequency prevents the results from being excessively influenced by a high concentration…
…Russian language. Detailed information about TenTen corpora is on the separate page Common TenTen corpora attributes. Part-of-speech tagset The summary…
Keyboard shortcuts Sketch Engine enables you to use hotkeys in order to accelerate your work. For most of the keyboard…
…Other text corpora Sketch Engine offers 800+ language corpora. Use Sketch Engine in minutes Generate collocations, frequency lists, examples in…
…default PATH/subcorp/. Note that mksubc.py is run by compilecorp (see Compiling Corpus) An example of subcorpus definition file ############################################################################### #…
…by third-party tools to generate the word sketches instead. How to set up To instruct compilecorp to assume parsed data…
…and consists of stenographic records of plenary sittings and committee sittings, segments of interpellations and questions. Texts in the PPC…
…finds all common singular masculine nouns in common case (which means nominative as well as accusative) , e.g. duine, rud…
…overt possessor person: 1st (s´ogor-om) <+POSS<+1><-2>> 2nd (s´ogor-od) <+POSS<-1><+2>> 3rd (s´ogor-a) <+POSS<-1><-2>> number: singular (s´ogor-ai) <+POSS<-PLUR>> plural (s´ogor-uk) <+POSS<+PLUR>> possessed:…
…top center of each screen OR go to the corpus dashboard storage click CORPUS INFO The name of the corpus….
…own corpora for which users will need storage space (quota). Each user is automatically allocated a quota of 1 million…
…Generate collocations, frequency lists, examples in contexts, n-grams or extract terms. Use our Quick Start Guide to learn it in…
…corpora of L2 Chinese. The corpus has both a spoken (621,900 tokens, 48%) and a written (672,328 tokens, 52%) part…
…that belongs to classes “sport”, “sport->football”, “business”, “business->football” and “business->football->manager” the corresponding record will look as follows: <doc class=”sport,sport::football,business,business::football,business::football::manager”> ……