There's a harsh reality we need to face--a robotic, AI-driven Shakespeare is nowhere in sight. No robot will write verse that influences English the way Bard's did anytime soon. You won't find an AI spitting rhymes like Rakim or Nas, either. But if your standards aren't too high, there is some AI-constructed poetry you can read today. Take an AI that uses the recurrent neural network language model technique, feed it thousands of romantic novels to learn language from, give it a starting sentence and an ending sentence, instruct it to fill the gap between them, and you'll get something like this: This AI, designed by Google, Stanford University, and the University of Massachusetts, isn't supposed to be the world's first artificial poet--it's just a side effect. But if you keep in mind that the AI generated all of the sentences except the first and last on its own, it's impressive that they all make sense and have a common theme.

Google has just open-sourced its'Parsey McParseface' AI tool and it understands English Google has open-sourced its neural network framework, SyntaxNet to include new language parsing model for English, which it calls'Parsey McParseface.' This is a tool that developers can use to analyze English text. In other words, developers will be able to swindle with the underlying technology powering Google's powerful natural language software so that apps, voice assistants and robots can better comprehend what English-speaking users want. "One of the main problems that makes parsing so challenging is that human languages show remarkable levels of ambiguity," Google says in a blog post. "It is not uncommon for moderate length sentences--say 20 or 30 words in length--to have hundreds, thousands, or even tens of thousands of possible syntactic structures. A natural language parser must somehow search through all of these alternatives, and find the most plausible structure given the context."

Artificial intelligence and machine learning are going thoroughly open source, with some of the biggest tech companies contributing projects to the community. Recently, I covered Google's decistion to open source a program called TensorFlow. It's based on the same internal toolset that Google has spent years developing to support its AI software and other predictive and analytics programs. Now, in a follow-on move, Google is open sourcing SyntaxNet, which is natural-language understanding software that can automatically parse sentences. SyntaxNet is part of its TensorFlow open source machine learning library, and is hardened and tested by Google.

A TensorFlow implementation of the models described in Andor et al. (2016). At Google, we spend a lot of time thinking about how computer systems can read and understand human language in order to process it in intelligent ways. We are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework for TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text. So, how accurate is Parsey McParseface?

Google has just unveiled what is arguably the most sophisticated artificial intelligence software in the world, when it comes to understanding the English language. The technology is so powerful that it is able to analyse the linguistic structure of language, and explain the functional role of each word in a given sentence. So what has Google decided to call this wonder machine? In the past, the American technology giant has given its AI projects futuristic names like TensorFlow and DeepDream, to convey their awesome potential and weighty purpose. But no, you've guessed it.

Artificial intelligence is one of the world's fastest-developing fields of study, and Google AI tools have already surpassed our expectations of the human brain-like capabilities of AI technology. Having created a groundbreaking "parsing" program, new Google AI tool Parsey McParseface could detect lies and eliminate problems of human language with an artificial intelligence language program. Google AI recently stunned the world upon releasing its AI poetry program, which uses a technique called recurrent neural network language model (RNNLM) to write classical, authentic, poetry touted as capable of "making a Vogon proud." The latest AI development as premiered by Google is a language parsing tool -- an artificial intelligence program capable of sorting through passages of human language and detecting inconsistencies in rhetoric and prose -- dubbed Parsey McParseface. Google's AI language tool was given the McParseface name when, 18 months into the program's development and still unable to think of a suitable title, Google developers named the sophisticated AI tool as a tongue-in-cheek reference to the viral poll that almost saw a polar research vessel called Boaty McBoatface.

Before you even ask, the name has no meaning. When Google was trying to figure out what to call its language parsing technology, someone suggested Parsey McParseface; it's a bit like Apple's Liam, which has no clever backstory either. The overall AI model is called SyntaxNet (please make your SkyNet jokes now); 'ol Parsey is just for English. Combining machine learning and search techniques, Parsey McParseface is 94 percent accurate, according to Google. It also leans on SyntaxNet's neural-network framework for analyzing the linguistic structure of a sentence or statement, which parses the functional role of each word in a sentence.

Last week, Google released Parsey McParseface, a funny name for a state-of-the-art tool aimed at one of the most difficult problems in artificial intelligence. For all that computers have accomplished in the past five years, from winning on "Jeopardy!" to defeating a Go grandmaster, they are still terrible at figuring out what people are saying. Language is one of the most complex tasks that humans perform. That's why there has been such a hullaballo over McParseface, which is pretty much a glorified sentence diagrammer. McParseface does what most students learn to do in elementary school.

How machines deal with comprehending human languages is called Natural Language Understanding (NLU), and revolutionary changes in this technology have given us the many virtual assistants we have today. However, NLU still has many obstacles to go through due to the ambiguous nature of the countless languages all over the world. Now, Google claims they're cutting through these difficulties as they announced the open sourcing of a neural network software developed with TensorFlow, SyntaxNet, together with…Parsey McParseface, apparently an English parser. Parsing, in linguistics, is the breaking down of sentences into their component parts to define what each part means. Experts assert that this is a first key component in NLU systems.

Computers find it difficult to understand the English language. The U.S. search giant is releasing the code, a piece of software called SyntaxNet and Parsey McParseface for free for developers to use. Together, these pieces of software will allow a developer's program or app to understand written English, something that companies from Facebook to Google have placed great emphasis on. Google's move is significant because artificial intelligence (AI) and in particular, natural language understanding, is very difficult for computers and even harder for developers to code. By opening up the capabilities to do this, Google is giving these developers the chance to integrate natural language understanding into their apps.