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Validation from a user requires skill with natural language (NL). Unlike formal languages, NL challenges radio engineering and AACR technology development. Most NL systems embed AML to some degree. As AACR evolves, the mix of preprogrammed versus autonomously acquired NL skills may shift toward AML for reduced cost of tailoring language to users. During the last ten years, NL technology has matured signi cantly. Commercial products like IBM s ViaVoice [66] recognize spoken language, creating errorful transcript hypotheses with as high as 75% to as low as 5% word error rates. Commercial language translation systems convert text among English, Japanese, Chinese, Russian, Arabic, and the Romance Languages with high reliability. VoiceXML [222] generates spoken language dialogs, driving any of a variety of speech-synthesis software tools. This section introduces a strategy for adapting these tools to AACR evolution that focuses on (1) overcoming the error rates inherent in current NL technology and (2) facilitating the insertion of NL components as the technology matures. To develop the role of NL in AACR, let us return to the <User/> domain and the map of the world. From a dictionary of English words <Self/> knows the two labels Land and Ocean as parts of Earth. An iCR can use the dictionary for reinforcement from the user as well, for example, substituting the dictionary de nition for a new word in a veri cation dialog such as: So the light blue means the solid part of the surface of the earth The user reinforces this expression for <Land/>. If the <User/> asks, How did you know that the CR responds, From the dictionary [Britannica 2003, noun]. For such a dialog, the errorful transcript must be suf ciently accurate to invoke <Land/>. If the CR infers the verb form of land instead, it could ask:

So the light blue means to set or put on shore from a ship The <User/> negatively reinforces that de nition of land. The dialog designer is on thin ice at this point. While a few users may enjoy training an AACR, many will want to shut it off. Failures like this might steer the AACR toward a metalevel strategy to infer less deeply, ask fewer questions, and focus on simpler tasks. In the RF example, the <Self/> could ask a radio-aware user (e.g., a Ham radio operator) whether signal means indication or one of the more radio-speci c de nitions (all from the Britannica on-line dictionary):

Signal a: an object used to transmit or convey information beyond the range of human voice b: the sound or image conveyed in telegraphy, telephony, radio, radar, or television c: a detectable physical quantity or impulse (as a voltage, current, or magnetic eld strength) by which messages or information can be transmitted

it s the sweet spot for gain value from the massive volumes of consumer generated text. One widely available, cheap technology assigns an overall positive or negative sentiment based on assigning positive or negative values to individual words then summing them to get an overall sentiment rating. This approach fails in situations like the following: It s not bad (two negatives that actually suggest a positive) I m not going to say this sucks (sarcasm or humor) The keyboard is impossibly small but the display is the best I ve seen. (combination) The most recent advances in sentiment analysis technology use a combination of techniques: Statistics Rule-based de nitions and Human intervention, e.g. a nal review of the machine scoring. The results are less expensive than human-only sentiment analysis, but more consistent. Why Because the automation adds consistency, while the human veri es the result. When put in the right work ow then it clearly increases scalability by a substantial factor.

When the race of ce opens try and get in quickly before there is a queue, and read the SI several times prior to any brie ng, just in case there is something unusual Often new courses and/or rules may be tested out at one or more regattas before they come into normal effect No two events will ever be the same, and no matter how well prepared you are, there is always the possibility of the unexpected happening This could be boat related (the mast falling down), or something that will affect you on an emotional level However, if you try and attend regattas which are likely to be similar, you will improve your chances of success (which is why people tend to do well sailing on their home waters ) Try, where possible, to be as relaxed as you are able.