Ios App Natural Language

How to integrate siri in your ios app.

Ios app natural language. Some time ago i presented a talk at cocoaheads sp on how to use nlp in an ios app. Since ios 5 apple has the nslinguistictagger class which provides a lot of natural language processing functionalities in different languages. There are multiple options available for doing this.

This area is clearly expressed in its dependence on the processing of the natural language. Use this framework to segment natural language text into paragraphs sentences or words and tag information about those segments such as part of speech lexical class lemma script and language. Lazy clock gives you a natural language view at the current time.

I have found a csv file on github with five classes and a little bit more than 2000 text examples. You can use it to process any kind of text. This year the progress has not stopped as apple has continued to make advancements in this framework.

Just by taking a look at your ios device you will see machine learning incorporated in almost every system app the most obvious being siri. For instance you may be just ingesting feeds or social media feeds into your app. A lot has changed since then so i thought it would be nice to post something about it.

Finding and preprocessing the dataset. For example when you send text messages apple uses natural language processing nlp to either predict your next word or intelligently suggest a correction whilst typing a word. Natural language is apple s framework library for nlp.

This was the next step in making text based machine learning much more accessible to developers all around. We use nllanguagerecognizer from the natural language toolkit to detect languages in a piece of text. Could be recognized handwriting or transcribed speech.