Search Results for "node-red"

... - Click inside the frame on the left to pick a color through the color chooser window - The program will match the color with the colors corresponding to a list of all the English words contained in the file wordcolor.txt - The first 10 matches will appear in the frame on the right - Right-click - Copy to copy the word matches and the RGB values This version comes with a text file (wordcolor.txt) containing all the English words followed by Red, Green, Blue channel values for the corresponding color. The colors were obtained through a modified version of the program "Text to Color" by same author, available for download on GitHub and SourceForge on the profile page of Fonazza-Stent. The next version (coming soon) will include a tool to convert a custom word list into a word+color list named wordcolor.txt

...The Meaning Explorer applies a new distributional semantic model to extract words’ significant co-occurrences from the Quran. This model is based on the Refined MI association measure applied to all words within a symmetric sliding window of five words surrounding the node word. The Refined MI association measure is chosen because of its remarkable ability ability to extract syntagmatic relations between the words of the Quran.

...In the new version, no matter which translation engine you use, it will first call the detection language interface of domestic Google Translate. In this case, the traffic of your proxy node is abnormal, which causes the request to be intercepted by Google, and you need to enter the verification code (you can also use + + to open the debugging optiontool commandto Icheck whether the request result is correct), so if this problem occurs, please replace your Proxy node or directly use domestic Google engine without proxy. ...

...“Musaheb” is able to extract n-gram collocations up to 5-gram, in addition to extracting the collocates of the nodes (the word-types we are looking for its collocates) within a window size of zero to 15 words. Moreover, it provides eight collocation statistics to calculate the strength of the collocation, and permits the input of various constraints during node selection and collocate extraction. Based on the user preferences for the node, concordance and collocates selection, the tool saves all nodes and their associated collocates in an XML file; allowing easy conversion to different formats.

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.