The latest version is directly available inwards the Android Market and shortly inwards the Amazon Appstore.
Example search has been largely improved past times using a characteristic late added to WWWJDIC's API. While clicking on the 'Ex.' push adjacent to a lexicon entry would exclusively demonstrate yous sentences containing the exact give-and-take before, searching for examples is a lot 'smarter' now. It directly matches inflected words, choice spellings too more. For example, searching for 飲む will fit 飲んだ, equally good equally のまない; searching for 綺麗 will fit きれい, キレイな, equally good equally the master copy 綺麗, of course. Up to 100 sentences matching the interrogation volition live on returned past times default. For mutual words, yous powerfulness desire to plough the 'Random examples' choice inwards Settings on. If yous do, yous volition become 10 random examples containing the target give-and-take each fourth dimension yous search, giving yous a much broader stance of the word's usage.
Another novel characteristic inwards this unloose is back upwardly for optical grapheme recognition (OCR) of gallery images. In all previous versions, yous needed to accept a motion painting to firstly OCR, directly yous tin operate pictures yous took previously too. Cropping too processing the prototype powerfulness live on retention intensive, too hence it plant best amongst lower resolution images (up to 2MB on a Nexus One). Your mileage powerfulness vary depending on the device yous are using, merely yous powerfulness desire to cut your camera's resolution if yous intend to operate the images for OCR. Here's how the novel OCR covert looks like. Notice the 'Gallery' push on the left:
That's it for now. Don't forget to rate if yous similar the app too remain tuned for version 2.0, featuring a revamped UI too sum back upwardly for tablets.
Example search has been largely improved past times using a characteristic late added to WWWJDIC's API. While clicking on the 'Ex.' push adjacent to a lexicon entry would exclusively demonstrate yous sentences containing the exact give-and-take before, searching for examples is a lot 'smarter' now. It directly matches inflected words, choice spellings too more. For example, searching for 飲む will fit 飲んだ, equally good equally のまない; searching for 綺麗 will fit きれい, キレイな, equally good equally the master copy 綺麗, of course. Up to 100 sentences matching the interrogation volition live on returned past times default. For mutual words, yous powerfulness desire to plough the 'Random examples' choice inwards Settings on. If yous do, yous volition become 10 random examples containing the target give-and-take each fourth dimension yous search, giving yous a much broader stance of the word's usage.
Another novel characteristic inwards this unloose is back upwardly for optical grapheme recognition (OCR) of gallery images. In all previous versions, yous needed to accept a motion painting to firstly OCR, directly yous tin operate pictures yous took previously too. Cropping too processing the prototype powerfulness live on retention intensive, too hence it plant best amongst lower resolution images (up to 2MB on a Nexus One). Your mileage powerfulness vary depending on the device yous are using, merely yous powerfulness desire to cut your camera's resolution if yous intend to operate the images for OCR. Here's how the novel OCR covert looks like. Notice the 'Gallery' push on the left:
That's it for now. Don't forget to rate if yous similar the app too remain tuned for version 2.0, featuring a revamped UI too sum back upwardly for tablets.
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