Collocational information is useful in a wide range of natural language processing contexts. However, it is especially relevant for some such as natural language generation, machine translation and text simplication. A pair of words is considered a collocation if one of the words signicantly prefers a particular lexical realisation of the concept the other represents.
The collocate tag cloud is based on the same principals as the text cloud but the difference is that it shows the most commom combination of words that are more oftern use with the original word. This way it is becoming obveouse that the most freqent combination is showing in two parametres: the size showes the freguency and the color brightness indicates the strength of this collocation.

Discussions about Collocate tag cloud:
BROWN MICHAEL (Pay per view vod software) says:
The collocate cloud inherits all the advantages of previous cloud visualisations: a collocate, if known, can be quickly located due to the alphabetical nature of the display. Hovering the mouse over a collocate will display statistical information.

JONES WILLIAM (Web television) says:
The use of collocational data also presents additional possibilities for interaction. A collocate can be clicked upon to produce a new cloud, with the previous collocate as the new node word. This gives endless possibilities for corpus exploration and the investigation of different domains. Instances of polysemy can be easily identified and expanded upon by following the different collocates.

MILLER DAVID (TV media software) says:
As the collocation clouds are mostly used in the language stady purposes this visualisation may be appealing to members of the public, students or teachers, or those seeking a more practical introduction to corpus linguistics. Collocate searches across different corpora or document sets may be visualised side by side, facilitating quick identification of differences. The number of collocates displayed are limited to a fixed number to prevent overloading the user with too many matches. This may hide otherwise valuable linguistic data from the user. The use of stop-words may help free up otherwise used space.

DAVIS RICHARD (Web video email software) says:
Also, while the collocate cloud is not a substitute for raw data, it does provide a fast and convenient way to navigate linguistic data. The ability to generate new clouds from existing collocates extends this further. It is this iterative nature that gives these collocate clouds greater value for linguistic research than previous cloud visualisations.

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