Semiotic class normalization
    1.
    发明授权

    公开(公告)号:US09852123B1

    公开(公告)日:2017-12-26

    申请号:US15165328

    申请日:2016-05-26

    Applicant: Google Inc.

    Abstract: 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.

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

    公开(公告)号:US10268683B2

    公开(公告)日:2019-04-23

    申请号:US15157293

    申请日:2016-05-17

    Applicant: Google Inc.

    Abstract: 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—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.

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