#Ibm watson speech to text offline software#

Comparison with human players Ken Jennings, Watson, and Brad Rutter in their Jeopardy! exhibition match Once Watson has a small number of potential solutions, it is able to check against its database to ascertain whether the solution makes sense or not. The more algorithms that find the same answer independently, the more likely Watson is to be correct. Watson's main innovation was not in the creation of a new algorithm for this operation but rather its ability to quickly execute hundreds of proven language analysis algorithms simultaneously. Watson parses questions into different keywords and sentence fragments in order to find statistically related phrases. The IBM team provided Watson with millions of documents, including dictionaries, encyclopedias and other reference material, that it could use to build its knowledge.

Watson also used databases, taxonomies and ontologies including DBPedia, WordNet and Yago. The sources of information for Watson include encyclopedias, dictionaries, thesauri, newswire articles and literary works. According to Rennie, all content was stored in Watson's RAM for the Jeopardy game because data stored on hard drives would be too slow to compete with human Jeopardy champions. Its Linpack performance stands at 80 TeraFLOPs, which is about half as fast as the cut-off line for the Top 500 Supercomputers list. IBM master inventor and senior consultant Tony Pearson estimated Watson's hardware cost at about three million dollars. Īccording to John Rennie, Watson can process 500 gigabytes (the equivalent of a million books) per second. In total, the system uses 2,880 POWER7 processor threads and 16 terabytes of RAM. Watson employs a cluster of ninety IBM Power 750 servers, each of which uses a 3.5 GHz POWER7 eight-core processor, with four threads per core.

The system is workload-optimized, integrating massively parallel POWER7 processors and built on IBM's DeepQA technology, which it uses to generate hypotheses, gather massive evidence, and analyze data. The system was written in various languages, including Java, C++, and Prolog, and runs on the SUSE Linux Enterprise Server 11 operating system using the Apache Hadoop framework to provide distributed computing.

#Ibm watson speech to text offline software#

Watson uses IBM's DeepQA software and the Apache UIMA (Unstructured Information Management Architecture) framework implementation. It is no longer purely a question answering (QA) computing system designed from Q&A pairs but can now 'see', 'hear', 'read', 'talk', 'taste', 'interpret', 'learn' and 'recommend'. In recent years, Watson's capabilities have been extended and the way in which Watson works has been changed to take advantage of new deployment models (Watson on IBM Cloud), evolved machine learning capabilities, and optimized hardware available to developers and researchers. IBM stated that Watson uses 'more than 100 different techniques to analyze natural language, identify sources, find and generate hypotheses, find and score evidence, and merge and rank hypotheses.' Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering. In February 2013, IBM announced that Watson's first commercial application would be for utilization management decisions in lung cancer treatment at Memorial Sloan Kettering Cancer Center, New York City, in conjunction with WellPoint (now Elevance Health).ĭescription The high-level architecture of IBM's DeepQA used in Watson The computer system was initially developed to answer questions on the quiz show Jeopardy! and in 2011, the Watson computer system competed on Jeopardy! against champions Brad Rutter and Ken Jennings, winning the first-place prize of 1 million USD. Watson was named after IBM's founder and first CEO, industrialist Thomas J. It was developed in IBM's DeepQA project by a research team led by principal investigator David Ferrucci.

IBM Watson is a computer system capable of answering questions posed in natural language. For IBM's generative AI tool, see IBM Watsonx.