Techniques for transliterating input text from a first character set to a second character set

A computer-implemented method comprising:

• receiving, at a computing device having one or more processors, input text in a first character set;
• determining, at the computing device, a set of possible transliterations of the input text based on a plurality of mapping standards, each possible transliteration of the set of possible transliterations corresponding to a transliteration of the input text into a second character set corresponding to a target language, each mapping standard of the plurality of mapping standards defining a mapping of characters in the first character set to characters in the second character set;
• determining, at the computing device, a set of candidate words in the target language based on the set of possible transliterations and a text corpus of the target language, the text corpus corresponding to a set of known words in the target language;
• determining, at the computing device, a likelihood score for each one of the set of candidate words based on a language model in the target language and one or more previous words received, each likelihood score being indicative of a probability that a corresponding candidate word corresponds to the input text;
• providing, from the computing device, to a user device one or more candidate words of the set of candidate words based on the likelihood scores;
• and
• receiving, at the computing device, a user selection indicating one of the candidate words.

A computing device, comprising:

• an input device that receives user input indicating input text in a first character set;
• a transliteration determination module configured to receive the input text and determine a set of possible transliterations of the input text based on a plurality of mapping standards and the input text, each possible transliteration of the set of possible transliterations corresponding to a transliteration of the input text into a second character set corresponding to a target language, each mapping standard of the plurality of mapping standards defining a mapping of characters in the first character set to characters in the second character set;
• a candidate word determination module configured to determine a set of candidate words in the target language based on the set of possible transliterations and a text corpus of the target language, the text corpus corresponding to a set of known words in the target language;
• and
• a word selection module configured to:
• a) determine a likelihood score for each candidate in the set of candidate words based on a language model in the target language and one or more previous words received, each likelihood score being indicative of a probability that its corresponding candidate word corresponds to the input text,
• b) provide one or more candidate words of the set of candidate words based on the likelihood scores of the one or more candidate words, and
• c) receive a user selection indicating one of the candidate words.