Chinese-Russian parallel subcorpus of RNC

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Welcome! Here is how you can find something:

Type a word or a lemma (dictionary form) in the text box above. Wildcards (*) and even regular expressions are allowed.
Or choose some tags, such as part of speech, in the Grammar box.
Hit Search sentences to find randomly sorted examples of what you are looking for.
Or hit Search words or / lemmata to get a table with words that conform to your query.

There are lots of other options! Click at the top to find out.

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Contacts: email, telegram
The project was supported by the Center for Academic Development of Students within the framework of the Competition of initiative collective research projects of students of the National Research University "Higher School of Economics"

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Word	Lemma	Grammar	Subcorpus	Search type	Time

Select parameters

Interview

Monologue

Experiment

Any

Select documents

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Selected subcorpus composition

Parameter: Language/tier:

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Value	Size in words	Number of documents

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Word statistics for

Parameter: Query type:

	Query word 1
value
frequency (ipm)	90% conf. int.

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Distribution by frequency rank

The plot below works as follows. On the x axis, you see frequency ranks, i.e. positions in the full list of all word forms / lemmata of the corpus, ordered by decreasing frequency. If multiple words/lemmata have the same frequency, they get the same rank equal to the average of their positions. For each frequency rank r, the plot shows the proportion of words/lemmata that conform to your query (each word counts only once) among all words with frequency rank less or equal to r on the y axis. The rightmost point, therefore, shows the total proportion of such words/lemmata among all types (different words) in the corpus. In the case of lemmata, all lemmata that have at least one word form conforming to the query are counted.

The subcorpus constraints and all words in the query, except the first one, are not taken into account here.

Scale of the x axis: Max y:

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