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Doing Second Language Research has 29 ratings and 2 reviews. An introduction to the theory and practice of second language research for graduate/Master's. JAMES DEAN BROWN. University of Hawai'i. Doing performance testing, and (c) numerous articles on the place of performance testing in language curriculum. The paper then. BROWN – PERFORMANCE ASSESSMENT: EXISTING LITERATURE AND DIRECTIONS FOR RESEARCH 92 oriented target language use. Criterion-referenced Language Testing by ]antes Dean Brown and. Thorn Hudson. Culture in Second. Into Second Language Reading Research by Keiko Koda, edited. Bachman and Andrew D. Second Language Vocabulary Acquisition edited by James Coady and. Thomas Huckin.

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Watson's, inspired by the IBM ' logo Watson is a computer system capable of answering questions posed in, developed in 's DeepQA project by a research team led. Watson was named after IBM's first CEO, industrialist. The computer system was specifically developed to answer questions on the and, in 2011, the Watson computer system competed on Jeopardy! Against former winners and winning the first place prize of $1 million. Watson had access to 200 million pages of structured and unstructured content consuming four of including the full text of, but was not connected to the during the game. For each clue, Watson's three most probable responses were displayed on the television screen.

Watson consistently outperformed its human opponents on the game's signaling device, but had trouble in a few categories, notably those having short clues containing only a few words. In February 2013, IBM announced that Watson software system's first commercial application would be for decisions in treatment at,, in conjunction with health insurance company. IBM Watson's former business chief, Manoj Saxena, says that 90% of nurses in the field who use Watson now follow its guidance. The high-level architecture of IBM's DeepQA used in Watson Watson was created as a (QA) computing system that IBM built to apply advanced,,,, and technologies to the field of. The key difference between QA technology and document search is that document search takes a keyword query and returns a list of documents, ranked in order of relevance to the query (often based on popularity and page ranking), while QA technology takes a question expressed in natural language, seeks to understand it in much greater detail, and returns a precise answer to the question.