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CRFSharp to run in Windows online over Linux online downlo

Free download CRFSharp to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named CRFSharp to run in Windows online over Linux online whose latest release can be downloaded as CRFSharp.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named CRFSharp to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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CRFSharp to run in Windows online over Linux online


DESCRIPTION

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on.

CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on.

Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly.

Audience

Science/Research, Education, Advanced End Users, Developers, Other Audience, Engineering


User interface

Console/Terminal, Command-line


Programming Language

C#



This is an application that can also be fetched from https://sourceforge.net/projects/crfsharp/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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