T9 Keyboard Emulator [macOS]
Store common words mapped to their T9 sequences:
def input_digit(self, digit): if digit == '0': # Space - finalize current word if self.current_input and self.current_input in self.word_dict: self.output_text += self.word_dict[self.current_input][0] + " " self.current_input = "" else: self.current_input += digit if self.current_input in self.word_dict: return self.word_dict[self.current_input] return []
const starterDictionary = '2': ['a', 'b', 'c'], '22': ['aa', 'ab', 'ac', 'ba', 'bb', 'bc', 'ca', 'cb', 'cc'], '23': ['ad', 'ae', 'af', 'bd', 'be', 'bf', 'cd', 'ce', 'cf'], '4663': ['good', 'home', 'gone', 'hood'], '43556': ['hello'], '96753': ['world', 'words'], '843': ['the', 'tie', 'vid'], '2865': ['bunk', 'cunt', 'auto'], '5464': ['king', 'link', 'jink'], '7364': ['send', 'rend', 'pend'] ; 1. Next Word Prediction Allow cycling through predictions with a "Next" key (usually * ) 2. Add Word to Dictionary Let users add new words that aren't recognized 3. Frequency-Based Sorting Sort predictions by how often the user selects them t9 keyboard emulator
loadDictionary(words) words.forEach(word => const seq = this.wordToSequence(word); if (!this.dictionary[seq]) this.dictionary[seq] = []; this.dictionary[seq].push(word); );
def get_t9_sequence(word): """Convert a word to its T9 number sequence""" return ''.join(letter_to_key[letter] for letter in word.lower()) def predict(sequence, word_dict): """Return possible words for a T9 sequence""" return word_dict.get(sequence, []) Step 4: Handle Multi-tap Input (Classic T9) For non-predictive mode, implement multi-tap: Store common words mapped to their T9 sequences:
class SmartT9: def __init__(self): self.word_frequency = {} def get_predictions(self, sequence): words = self.dictionary.get(sequence, []) return sorted(words, key=lambda w: self.word_frequency.get(w, 0), reverse=True)
}
def cycle_predictions(self): if self.current_input in self.word_dict: words = self.word_dict[self.current_input] words.append(words.pop(0)) # Rotate return words[0] return None t9 = T9Emulator() t9.load_dictionary(['good', 'home', 'gone', 'hello', 'world', 'test']) print(t9.input_digit('4')) # Possible words starting with G/H/I print(t9.input_digit('6')) # '46' sequence print(t9.input_digit('6')) # '466' sequence print(t9.input_digit('3')) # '4663' -> ['good', 'home', 'gone']
