An augmentative and alternative communication (AAC) system and methods therefore are provided for assisting in learning to read. The system stores book data capturing the sequence of a book and dictionary which is used by a display controller for displaying symbols on an AAC reading user interface. This enables set of symbols to be displayed for each word which include a symbols having a contextually appropriate meaning for the current word being read within a displayed group of symbols. A reader conveys their understanding of the word by selecting the correct symbol. Selecting a symbol triggers audio output of the word associated with the symbol.

The present disclosure provides a method and an apparatus of verifying information based on a voice interaction, a device, and a computer storage medium, and relates to a field of artificial intelligence technology. The present disclosure is implemented to include: acquiring a text of a voice response of a user to a voice inquiry, wherein the voice inquiry is provided for verifying information with the user; and inputting each character of the text of the voice response and a phonetic information associated with the each character to a pre-trained semantic analysis model so as to obtain an user intention information and/or an information of an object to be verified output by the pre-trained semantic analysis model, wherein the user intention information includes a confirmation, a denial, an answer, or a question.

Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.

A method for information processing includes collecting input information, obtaining feedback information in response to the input information, and outputting the feedback information. The feedback information contains query sub-information.

The present application discloses a similarity processing method, an apparatus, a server and a storage medium, and relates to the fields of information processing and natural language processing. The specific implementation solution is as follows: acquiring a first character string and a second character string; determining a pronunciation pattern similarity and a character pattern similarity between the first character string and the second character string; and determining a comprehensive similarity between the first character string and the second character string, based on the pronunciation pattern similarity and the character pattern similarity.

Data associated with a selectively offline capable voice action is locally persisted in a voice-enabled electronic device whenever such an action cannot be competed locally due to the device being offline to enable the action to later be completed after online connectivity has been restored. Synchronization with an online service and/or another electronic device, and/or retrieval of context sensitive data from an online service may be performed after online connectivity has been restored to enable the voice action to thereafter be completed.

A computer system creates a plurality of indexes from a first plurality of records, wherein each index corresponds to an attribute of a plurality of attributes. The computer system detects a record of a second plurality of records, wherein the record includes a value corresponding to each of the plurality of attributes. The computer system determines a first set of values from a first index of the plurality of indexes that corresponds to a first attribute. The computer system determines a plurality of individual similarity scores for the first set of values by utilizing a similarity function. The computer system determines an overall similarity score for each record of at least a portion of the first plurality of records and based on the overall similarity scores, determines a record of the first plurality of records that corresponds to the record of the second plurality of records.

Systems and methods are provided for transforming historical data collected in response to one or more triggering events, in order to classify textual values. Embodiments access a plurality of textual values from historical transaction data; identify one or more distinct patterns within the plurality of textual values; group the textual values based on the one or more distinct patterns, thereby forming one or more clusters; apply a similarity gauge to the textual values of each of the clusters to determine similarity or dissimilarity among the textual values of each cluster; and filter the textual values of each cluster to determine which textual values belong in each cluster, wherein the textual values that belong are cluster values. Some embodiments also remove undesired characters from the textual values, and in some cases identifying the distinct patterns includes comparing pronunciations and/or phonetics of the textual values.

The invention relates to a method used by computers for searching words in documents written in a source language, which are not in the vocabulary of said source language, but are transcript of meaningful words in an origin language. The method is comprised of a preparation process and a search process. During the preparation process a database of unrecognized words in the source language is maintained, which contains, among other data, normalized phonetic conversion of the unrecognized word, as well as a corpus of all words of the documents in the search domain and indexes for efficient search. During search, a phonetic conversion and normalization is done for the search word, and the distance to similar phonetics words in the corpus is calculated. The found words in the corpus are arranged in ascending order, and the relevant documents are displayed.

The present disclosure provides an input method, an apparatus and an electronic device. The input method comprises: acquiring historical dialogue information about a dialogue window; extracting characteristic information in the historical dialogue information, wherein the characteristic information comprises a keyword; determining prediction information, wherein the prediction information comprises the keyword; based on the prediction information, acquiring an on-screen candidate word queue in an input text box in the dialogue window; and outputting the on-screen candidate word queue. By fully excavating the historical dialogue information about the dialogue window, determining the prediction information by integrating the characteristic information extracted from the historical dialogue information, and searching a corresponding associated candidate word bank according to the prediction information, the final on-screen candidate queue is obtained. Based on the provided input method, no matter whether the input text box is blank or not, the on-screen candidate queue still can be acquired; moreover, the acquired on-screen candidate queue is obviously more reasonable and more accurate than that acquired only according to an on-screen entry of a user last time.