Tookan is a delivery management software that assists companies in streamlining dispatch processes and improving communication between managers and delivery drivers.
MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.Monkey Learn Integrations
Tookan + Monkey LearnClassify Text in monkeylearn when New Task is created in Tookan Read More...
Tookan + Monkey LearnExtract Text in monkeylearn when New Task is created in Tookan Read More...
Tookan + Monkey LearnUpload training Data in monkeylearn when New Task is created in Tookan Read More...
It's easy to connect Tookan + Monkey Learn without coding knowledge. Start creating your own business flow.
Trigger when new task created.
Adds a new agent
Create a new customer.
Create a Delivery Task
Create a Pick and Delivery Task.
Creates a pick task.
Create an Appointment Task
Create an FOS Workflow Task.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Tookan is a statistical machine translation system that improves the accuracy of machine translation. It does this by combining multiple machine translation engines and aligning them to a common semantic representation. The word “Tookan” comes from the Japanese word for “translation”. Tookan is written in Java and it has an API that allows users to create their own modules to be used within the framework. The Tookan framework also supports various pre-existing NLP tops such as OpenNLP, Lucene, Weka, and many others.
Monkey Learn is an online machine learning platform that allows users to create machine learning models without any coding or programming knowledge. Monkey Learn’s goal is to make machine learning accessible to everyone. The platform contains over 100 different algorithms that can be used to improve text classification, image tagging, spam detection, sentiment analysis, and more. Monkey Learn also provides sample datasets to help users create their own custom datasets for machine learning projects.
Using Monkey Learn, you can train your machine learning model using Monkey Learn’s datasets or your own custom dataset. Once you have trained the model, you can then use the API provided by Tookan to translate text into your target language. Then, you can use the API provided by Monkey Learn to classify data into its correct category. Finally, you can use the API provided by Tookan to translate back from your target language to your source language. This integration allows you to have a complete machine translation system.
The benefit of using Tookan is that it allows you to scale translations since you are using multiple NLP tops at once. This means that if one NLP top breaks down or stops working properly, the other tops will carry on translating until the broken top has been fixed or replaced with a new one. The benefit of using Monkey Learn is that it allows you to quickly create a machine learning model for your project without having to worry about creating your own dataset. Also, since creating a model with Monkey Learn is so quick, you can create multiple models for different purposes. For example, you could create one model for classifying the positive vs negative sentiment of tweets and another model for classifying whether or not a tweet is spam or not spam. Lastly, since both Tookan and Monkey Learn are open source, they are highly customizable. This means that you are able to change how they work or fix bugs that are preventing them from working properly.
Taken together, Tookan and Monkey Learn are very useful for building real-world machine translation systems. Since Tookan allows you to scale your translation and uses multiple NLP tops at once, it is much less likely that translation will break down when using multiple NLP tops at once. Since Monkey Learn allows you to easily create custom machine learning models for your project, it reduces the amount of time and resources needed for creating these types of models. This means that you can save time and money by using these two tops together as compared to if you were to use them separately.
The process to integrate Tookan and Monkey Learn may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.