Introducing the Multilayer Annotation & Parsing (MAP) Tool
Tired of spending endless hours on text annotation?
The Corpus Research Center, Minhaj University Lahore brings you an innovative solution!
Features Include:
✅ Auto & Manual Tokenization
✅ Multilingual Support
✅ Multi-Linguistic Layers Creation
✅ Parsing & Annotation Editing
✅ Export to Image & PDF
✅ Data Privacy Ensured
Designed to save your time ⏳ and deepen your analysis perfect for Linguists, Researchers, and Language Educators.
Try it now: crc.mul.edu.pk/map#MinhajUniversity#CorpusResearchCenter#MAPTool#Linguistics#AnnotationTool#LanguageResearch#TextParsing
Our new blog’s out and make sure to check it out: 👉 commented.io/blog/best-annot…
We explore why Commented has the best annotation tool, its functionality, features, and pricing. 💪
Don’t miss out on time and join us! ⏰
#AnnotationTool#EnhanceDesigns
Collaboration and feedback are two main areas I find extremely important while working with my team members and with clients.🤝
But, it's tough to find and utilize a space that can provide working on projects fast, integrated, and effectively… 🤔
After conducting extensive research with my fellow partner @isacoding, we devised a way to enhance how people collaborate and receive feedback without glitches! 💡
This powerful and efficient means is named 👉 commented.io
It's time to embark on a solid workspace journey where web projects aren't easier to work on 🤗 Share the freedom with Commented!
#CollaborateInstanly#AnnotationTool#EmbraceAI#WebFeedback#FeedbackTool#CommentingTool#SaaS#RefinedContent#PolishedDesigns#AI
Receiving feedback for web designs is chaotic with vague screenshots, emails, and messages. Superflow's live commenting makes managing website feedback a piece of cake! 🍰 #superflow#annotationtoolbit.ly/3nyuldH
🚨Update🚨
Check out the new Version 1.2 of our AnnotationTool, it comes with a bunch of new features, improvements and bug-fixes including:
- A live-updating 3D viewer
- A much more stable calibration mode
Get it here:
jarvis-mocap.github.io/jarvi…
We are working on a dedicated argument annotation and evaluation tool.
Is there any particular functionality that you think it should have, or that you think every argument mining annotation tool should have?
#NLP#ArgumentMining#AnnotationTool
The rest of JARVIS also got some updates:
1. The AnnotationTool now properly supports ChArUco board calibration.
2. We fixed all the small bugs in our python toolbox that have come up so far. A giant thank you to everyone who helped us out with feedback and bug reports!
2. The AnnotationTool
Our multi-view annotation tool is one of the keys to JARVIS' precision. Thanks to being implemented in c it will run super smooth even on the slowest computer you can find in your lab, pinky promise!
4/6