Google Inc.

Richard Sproat

Bryan Christopher Horling

Maryam Garrett

Wan Fen Nicole Quah

Brian E Roark

Ke Wu

Kyle Gorman

Sascha Benjamin Brawer

Martin Jansche

Hiroshi Takenaka

Yui Terashima

Some implementations are directed to translating chatspeak to a normalized form, where the chatspeak is included in natural language input formulated by a user via a user interface input device of a computing device&#x2014;such as input provided by the user to an automated assistant. The normalized form of the chatspeak may be utilized by the automated assistant in determining reply content that is responsive to the natural language input, and that reply content may be presented to the user via one or more user interface output devices of the computing device of the user. Some implementations are additionally and/or alternatively directed to providing, for presentation to a user, natural language output that includes chatspeak in lieu of a normalized form of the chatspeak, based at least in part on a 'chatspeak measure' that is determined based on past usage of chatspeak by the user and/or by additional users.

Generating output for presentation in response to user interface input, where the input and/or the output include chatspeak

A language processing system for text normalization of an input string of a semiotic class. In an aspect, a method includes receiving an input string; accessing, for a semiotic class of non-standard words, a language universal covering grammar for a plurality of languages that generates, for each language of the plurality of languages, one or more sequences of word-level components for each instance of the semiotic class in the language; for each of the plurality of languages, accessing a lexical map specific to the language and that maps each sequence of word-level components for each instance of the semiotic class in the language verbalizations in the language; generating, from the language universal grammar and the lexical maps, a lattice of possible verbalizations of the input string; and selecting one of the possible verbalizations as a selected verbalization for the input string.

Semiotic class normalization

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transforming text strings. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving input string having a plurality of terms, the input string being in a first form; transforming the input string from the first form to a second form including: applying one or more rules to the input string to identify one or more terms for translation, the one or more identified terms being fewer than the plurality of terms, translating the identified one or more terms to one or more translated terms in the second form, and transliterating the remaining terms of the plurality of terms into transliterated terms in the second form; and concatenating the translated and transliterated terms to form a hybrid output string in the second form.

Conversion of input text strings

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Hamilton, NJ, United States of America

Richard Sproat