![wordservice wordservice](https://i2.wp.com/www.appletips.nl/wp-content/uploads/2012/04/wordservice-instellingen.png)
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The Insert service lets you add various forms of the date, time, or date and time, or the contents of the path. The Format service offers up options to reflow text, remove multiple spaces between words, sort lines in ascending or descending order, and various trim options. Unix), and convert tabs to spaces (or vice versa). The Convert service lets you change the case of text (including initial caps of words or sentences), change straight and "smart" quotes, convert line endings (Mac vs. So just highlight a bunch of text, then choose Services -> Statistics, and you'll get that nice count window.īut wait, that's not all! You'll also get three more amazingly useful services menu entries, each of which contains multiple tasks. This means it will work in all Cocoa (and some Carbon) applications - and Pages is Cocoa. Once installed, it's an entry on your Services menu. But how does it work? Simple, it's a service. As seen in the image at left ( larger version), WordService will give you a nice summary of the characters, spaces, letters, lines, and words in any selection of text. Most anyone who has written for any publication will need a feature like this, as there are many things (captions, sidebars, etc.) that may not count in your total word limit, so an overall document count isn't that useful.Įnter WordService.
#WORDSERVICE FULL#
There is, however, a nice workaround for one of Pages' limitations - the inability to count words and letters for anything other than the full document. Depending on your needs, this may make using Pages as your everyday word processor impossible. As I noted in my preview for Macworld, there are many things that Pages will not do.
#WORDSERVICE FREE#
Price: Free With the recent release of iWork, many folks seem interested in using Pages to replace their current word processor.Avoidĭon’t use tfLiteWakeword without a TensorFlow model of the wake word you want to use, or when you don’t know what wake word you want to activate your app. When testing your app using tfLiteWakeword, be sure to consult the Spokestack pipeline model hyperparameter configuration guide. Work with us to develop a custom TensorFlow model, and then distribute that model with your app configured to use tfLiteWakeword. These free models, however, only recognize the word “Spokestack” in order to have your app respond to a different word or phrase, you’ll need your own custom models. To get you started, Spokestack provides pretrained TensorFlow models that enable on-device wake word detection. It features a state-of-the-art machine learning pipeline using attention-based models they operate continuously, each feeding output into the next, for both efficiency and accuracy. Spokestack’s tfLiteWakeword fits the bill for you! You’ll gain fast, accurate, efficient, wake word activation that runs entirely on-device. How do I distribute my app with a fast, accurate, efficient, on-device wake word? Just want your app to get an event when a user says “take a selfie”, or even allow your users to choose their own wake words? No need to muck with fancy embedded computing models - just change one line of code! AvoidĪppleWakeword should not be used in any published app, both because its performance will always be slower than tfLiteWakeword and because it depends on running constant ASR over all speech while the pipeline is running, which is both a privacy concern and an overuse of resources for the actual task. Boss doesn’t like your favorite “HAL” wake word idea? Just change a single line and try out their “GUNTER” idea. This allows you to have a tight testing cycle when trying out the UX of different wake words. Spokestack’s appleWakeword uses Apple’s free on-device ASR to transcribe all speech heard while the Spokestack pipeline is running, and then filters that speech for the wake word(s) that you specify in the SpeechConfiguration.wakewords configuration. Of course Spokestack is here to help with that. What wake word do we want our app to use? Tricky question! Answering the question means UX research, brand identity discussions, and even linguistics consulting. What wake word do we want our app to use? Let’s discuss the guidelines for using them in more detail by asking two questions. appleWakeword is intended for quick demos where you want to try out different wake words for UX research and not have the overhead of having to build a TensorFlow model for every option. In general, tfLiteWakeword will have better accuracy and faster activation.