Flow.ai adapts to conversations in real - time, using a technique
called natural language processing (NLP).
The branch of artificial intelligence that addresses this need is
called natural language processing.
Not exact matches
The Keywee team
calls on their unique backgrounds in
natural -
language processing and Big Data to solve a rapid - growing pain for publishers and content marketers: finding the audiences most likely to act in accordance with specific business goals and crafting better - performing content for those audiences.
OTAS Technologies recently launched a
natural language reporting product
called Lingo.
It addressed the issue of married life and artificial contraception, describing how the latter undermines «the
language of love» and
calling for a new appreciation of
natural family planning.
This body,
called culture, necessarily enters into the habitual life of the student, in part via the general curriculum of
language, literature, history,
natural science and mathematics.
We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the
language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via
natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we
call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).
The example of classifying rooms according to content, moreover, is similar in structure to a classic problem in
natural language processing
called topic modeling, in which a computer attempts to use the relative frequency of words to classify documents according to topic.
It's all part of what IBM
calls the cognitive systems era, in which computers aren't just programmed, but also perceive what's going on, make judgments, communicate with
natural language, and learn from experience.
The researchers used a
natural language processing technique
called «latent semantic analysis» to analyze the game descriptions and compute relatedness scores.
«The origin of all this is part of a TV program that emerges in the US and that is
called Jeopardy! For the first time, the winners of the contest were faced with a machine that understood
natural language and was able to answer complex questions... IBM, after the positive result of this experience, saw that it was a very good way to export this technology to other environments, such as business.
Mazda's design and surface
language for future Zoom - Zoom vehicles embraces this concept of
natural flow, a new design
language called Nagare (pronounced na - ga - reh).
Siri Eyes Free is compatible with Apple iOS 4 devices or later and can be activated from the voice button on the steering wheel, allowing the driver to send text messages, play music, place phone
calls, set reminders, and access turn - by - turn directions simply through
natural language voice commands.
It also incorporates
natural language voice recognition that allows customers to safely place
calls, enter destinations, browse media, play music and control other functions simply by telling the vehicle what to do.
After Daniel's
natural ability in
languages became apparent, after additional training the family moved to Brazil in 1977, first to a city
called Belém, to learn Portuguese, and then, a year later, to a Pirahã village at the mouth of the Maici River.
As
natural English speakers, they're all comfortable using everything from formal professional
language to colloquial
language if the prompt
calls for it.
Retracing and reshaping angles and lines creates what she
calls a «
natural abstract
language.»
The most promising avenue in this regard are so -
called «
natural»
languages (which have evolved over millenia).
I write a lot about
language and the
natural world, so I was delighted to recently stumble across a book
called «Lost in Translation: An Illustrated Compendium of Untranslatable Words from Around the World» by Ella Francis Sanders.
With Lexis Answers, a researcher can ask a
natural -
language question and get back the single - best answer in the form of what Lexis is
calling a Lexis Answer Card.
In fact, the developers of this experimental legal search engine,
called PreCYdent, say their tests outperform «by a wide margin» Westlaw
natural language search, not to mention Lexis and other commercial databases.
The study found that when it came to Westlaw, it was «not clear from the promotional material if the methodologies include true
natural language searching or not» as the interface lists its search as «plain
language» while «early WestlawNext promotional material
calls it «
natural language.»
The Associated Press news agency plans to automate the writing of corporate earnings reports with an AI system
called Wordsmith, which spots patterns and trends in raw data and then describes those findings in
natural language.
Natural -
language processing, also
called computational linguistics, involves developing computer algorithms so that machines can understand
language.
In the past five years (that LSAT - to - Bar
Call window I mentioned), the major research platforms have tried to move the profession towards away from precise Boolean string searching and towards
natural language searching.
While voice commands for
calls and texts seem to work, other
natural language queries like «What was the Seattle Seahawks score last night?»
You can chat one - on - one with the assistant, or
call on Google in a group chat with friends — so you can ask if your flight is delayed using
natural language.
For example, Mobvoi, a China - based company that develops voice recognition and
natural language processing, announced in May this year that it will launch a Google Assistant - powered speaker later in 2017
called the Tichome Mini.
The publication notes several such cards, including at - a-glance summary, commute card, highlights card, missed
call card, in - depth people insights,
natural language event creation, email to yourself card and emails directly to you card.
The X8 custom architecture - which features a 1.7 GHz dual - core Snapdragon S4 Pro, quad - core Adreno 320 GPU, two other cores for contextual computing and
natural language, alongside 2 GB of RAM - can handle games, movies, place
calls and switch between apps without a stutter.