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KeyMacro is a macro recording tool with a fast, easy and highly functional recording function. It is a lightweight and compact program that can be used as a post-processing tool for your multimedia projects. Easily record and playback complex sequence of keyboard shortcuts as a single action. Record multiple keyboard shortcuts at once and create one macro that will be triggered with a single key press.
Basic Requirements:
Microsoft Windows XP SP2 or higher
1GB or more of RAM.
800 x 600 screen resolution, more screen resolution settings available.
KeyMacro is a fast, easy and highly functional recording tool that will allow you to easily create complex sequence of keyboard shortcuts, no matter how many of them you want to assign a single keyboard action. Once recording is completed, it will allow you to conveniently play back any combination of keyboard shortcuts on a selected object. The program records your shortcuts in a set of sequential keystrokes that can be triggered with a single key press.
KeyMacro is a freeware program that is available for free download from its website.
KeyMacro is designed to function on Microsoft Windows XP and above. It requires Windows XP SP2 and higher.
Windows Vista, 7, 8, 8.1, 10 (all versions)
Free, After successful installation of KeyMacro you can use it without any additional payment.
What’s new:
– When you press “Create macro” button, KeyMacro will create a.kmc file and move it into a directory that you choose. The first line in the file starts with “MACRO” and includes a time stamp.
– After you record the macro, the results will be saved in the file you selected.
– To play back the macro, press “Play” button, and you will be prompted to select a file containing the keyboard shortcuts.
– To change the result order of your keyboard shortcuts, go to “Set macro” and choose your preferred order.
– Go to “Manage macros” to edit the keys that are already recorded.
KeyMacro can record keyboard shortcuts on an object or all your objects.
– When recording is completed, you can choose an output directory and choose the name you want to give to your recording.
– You can choose a time stamp for your recording. To do this, click on “Set time stamp” and choose “dd/ 384a16bd22

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The KEYMACRO tool offers a simple and robust parser for general forms of NLP. It allows users to detect certain key concepts of interest within a sentence.
Natural Language Processing
(This demo starts the KEYMACRO application)
(This demo will pass various keywords to the KeyMACRO application)
(This demo will extract all occurrences of the keyword ZEE-1 from the sentence)




Part Of Speech


Semantic Role Labeling

Semantic Textual Similarity


Text Classification

POS Tagging

Named Entity Recognition


Coreference Resolution


To connect to the coreference parser

To connect to the named entity recognizer

To connect to the part-of-speech tagger

To connect to the semantic role annotator

To connect to the sentiment analyzer

To connect to the sent2vec model (optional)

To connect to the text classifier

To connect to the coreference annotator

To connect to the named entity recognizer

To connect to the semantic role annotator

To connect to the semantic textual similarity model

To connect to the POS tagger

To connect to the chunker


Language is the ability of human beings to communicate. Languages are the set of words and phrases used to communicate information and emotions in order to relate to one another. When the content is formal, it is called written language. When the content is informal, it is called spoken language.

The main goal of natural language processing is to transform written or spoken content into machine-readable text.


Coreference is a special case of mutual reference. It is a phenomenon in which two or more different words refer to the same object. This usually happens because words have been chosen with a certain grammatical function in mind. For example, because words are usually written in a fixed order, it is very common for the object name to be referenced in the verb (as in “The car is red,” “The car is green” etc.).

A named entity is a part of the data that has a name that we want to recognize. For example: the word “Student” is a named entity because we know we can


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