Apple Inc.

Takumi Takano

Yasuo Kida

Deborah Eileen Goldsmith

Leland Douglas Collins, Jr

Toshiyuki Masui

Ken Kocienda

Shin Nishibori

Bas Ording

Elizabeth Caroline Cranfill

Kenneth L Kocienda

Maria Celia Vigil

Keisuke Hara

Yosuke Kurita

Hongwei Guo

Michi Iwasaki

Text input is corrected on a touch-sensitive display by presenting a list of candidate words in the interface which can be selected by touch input. The candidate list can include candidate words having two or more character types (e.g., Roman, kana, kanji). In one aspect, the candidate list can be scrolled using a finger gesture. When a user's finger traverses a candidate word and the touch is released, the candidate word is inserted into a document being edited. In another aspect, characters can be erased by touching a key (e.g., a backspace or delete key) and making a sliding, swiping, or other finger gesture. A number of characters proportional to a distance (e.g., a linear distance) of the finger gesture across the display are erased. If there are characters in a text input area, those characters are erased first, followed by characters in the document being edited.

Input methods for device having multi-language environment

Methods, systems, devices, and apparatus, including computer program products, for inputting text. A user interface element is presented on a touch-sensitive display of a device. The user interface element is associated with a plurality of characters, at least a subset of which is associated with respective gestures. A user input performing a gesture with respect to the user interface element is received. The character from the subset that is associated with the gesture performed with respect to the user interface element is inputted.

Language input interface on a device

A method, apparatus, system, and signal-bearing medium that converts input data, such as speech or phonetic characters, to text by finding documents that are similar to the input data and using the similar documents to create a customized dictionary including a weighted list of words found in the similar documents. The words that are weighted higher may have a higher probability of being used in the input data, so words in the converted text are chosen based on the weighted list. A vector space model may be used to search for the similar documents.

Adaptive context sensitive analysis

Growing community of inventors

Tokyo, Japan

Takumi Takano