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Outlook provides spelling and grammar checkers that can help you find errors in your messages. After composing a message, run these tools by clicking the Spelling button on the Message ribbon or by pressing F7. For each misspelled word, the Spelling and Grammar dialog box is displayed, as shown in Figure 6.26. The error in this case the misspelled word watter is highlighted in the top part of the box and suggested corrections, if any, are listed in the bottom. Actions you can take are n Ignore Once: Ignore this instance of the error but catch any others. n Ignore All: Ignore all occurrences of this error in the message. n Add to Dictionary: Add the flagged word to the dictionary. n Change: Change the flagged word to the correction selected in the Suggestions box. n Change All: Change all occurrences of the flagged word to the selected correction. n AutoCorrect: Change the flagged word to the selected correction and add the two words to the AutoCorrect list. AutoCorrect is covered later in this chapter. When checking of grammar is enabled (I explain how to do this in a moment), sentence elements that Outlook thinks contain a grammar error are flagged and the Spelling and Grammar dialog box offers these options: n Ignore Once: Ignore this instance of the error. n Ignore Rule: Ignore the relevant grammar rule for the remainder of the grammar check. n Next Sentence: Stop checking the current sentence and move to the next sentence. n Change: Changes the text to the correction selected in the Suggestions box. n Explain: Displays information about why this was flagged as a grammar error.

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10 6 5 10 Average SNR per Bit [dB] 15 20

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When running the usability tests, the team collected masses of data that they had to make sense of by systematical analysis. The following discussion offers a snapshot of their findings. Some participants' problems started right at the beginning of the five-minute exploration. The login page referred to "virtual worlds" rather than the expected HutchWorld and, even though this might seem trivial, it was enough to confuse some users. This isn't unusual; developers tend to overlook small things like this, which is why eyaluation is so important. Even careful, highly skilled developers like this team tend to forget that users do not speak their language. Fortunately, finding the "go" button was fairly straightforward. Furthermore, most participants read the welcome message and used the navigation list, and over half used the chat buttons, managed to move around the 3D world, and read the overview. But only o n e - t h d chatted and used the navigation buttons. The fiveminute free-exploration data was also analyzed to determine what people thought of HutchWorld and how they commented upon the 3D view, the chat area, and the browse area. Users' performance on the structured tasks was analyzed in detail and participant ratings were tabulated. Participants rated the tasks on a scale of 1-3 where 1 = easy, 2 = OK, 3 = difficult, and bold = needed help. Any activity that received an average rating above 1.5 across participants was deemed to need detailed review by the team. Figure 10.7 shows a fragment of the summary of the analysis. In addition, the team analyzed all the problems that they observed during the tests. They then looked at all their data and drew up a table of issues, noting whether they were a priority to fix and listing recommendations for changes.

everal years ago I wrote a word search for a large database of legal texts. For word searches, the database parsed all the documents and built a word-frequency table as a many-to-many association between the word table and the document table. It worked well, and word searches became lightning-fast. As much fun as writing your own word search can be, fortunately, you have a choice. SQL Server includes a structured word/phrase indexing system called Full-Text Search. More than just a word parser, Full-Text Search actually performs linguistic analysis by determining base words and word boundaries, and by conjugating verbs for different languages. It runs circles around the simple word index system that I built. ANSI Standard SQL uses the LIKE operator to perform basic word searches and even wildcard searches. For example, the following code uses the LIKE operator to query the Aesop s Fables sample database:

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