Disclosed herein are system, method, and computer program product embodiments for providing emergency communication translation and functions. An embodiment operates by receiving a first emergency communication to be sent to an emergency service provider. The embodiment determines, from the first emergency communication, that a language associated with the first emergency communication is different from a standard language. In response to the determining, the embodiment generates a second emergency communication based on the first emergency communication, where the second emergency communication is in the standard language. The embodiment then sends the second emergency communication to the emergency service provider.

Disclosed herein are system, method, and computer program product embodiments for providing emergency communication translation and functions. An embodiment operates by receiving a first emergency communication to be sent to an emergency service provider. The embodiment determines, from the first emergency communication, that a language associated with the first emergency communication is different from a standard language. In response to the determining, the embodiment generates a second emergency communication based on the first emergency communication, where the second emergency communication is in the standard language. The embodiment then sends the second emergency communication to the emergency service provider.

A system that evaluates spoken content, includes: an acquirer that acquires each content spoken by a plurality of participants in a meeting or a briefing; an identifier for identifying each speaker of the each spoken content; and an evaluator for evaluating the each spoken content, wherein the identifier identifies whether the each spoken content is content spoken by a first speaker, or by a second speaker or apparatus that interprets content spoken by the first speaker, and the evaluator evaluates content spoken by an identified speaker that is the first speaker, or the second speaker or apparatus.

Techniques disclosed herein relate generally to text classification and include techniques for fusing word embeddings with word scores for text classification. In one particular aspect, a method for text classification is provided that includes obtaining an embedding vector for a textual unit, based on a plurality of word embedding vectors and a plurality of word scores. The plurality of word embedding vectors includes a corresponding word embedding vector for each of a plurality of words of the textual unit, and the plurality of word scores includes a corresponding word score for each of the plurality of words of the textual unit. The method also includes passing the embedding vector for the textual unit through at least one feed-forward layer to obtain a final layer output, and performing a classification on the final layer output.

Techniques disclosed herein relate generally to text classification and include techniques for fusing word embeddings with word scores for text classification. In one particular aspect, a method for text classification is provided that includes obtaining an embedding vector for a textual unit, based on a plurality of word embedding vectors and a plurality of word scores. The plurality of word embedding vectors includes a corresponding word embedding vector for each of a plurality of words of the textual unit, and the plurality of word scores includes a corresponding word score for each of the plurality of words of the textual unit. The method also includes passing the embedding vector for the textual unit through at least one feed-forward layer to obtain a final layer output, and performing a classification on the final layer output.

A device may be configured to parse a syntax element specifying the number of available languages within a presentation associated with an audio stream. A device may be configured to parse one or more syntax elements identifying each of the available languages and parse an accessibility syntax element for each language within the presentation.

A device may be configured to parse a syntax element specifying the number of available languages within a presentation associated with an audio stream. A device may be configured to parse one or more syntax elements identifying each of the available languages and parse an accessibility syntax element for each language within the presentation.

A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Disclosed are various approaches for performing automated actions in a conferencing service. Distractions can be detected and users can be muted. Breakout rooms can be suggested to attendees based upon the user's identity. Additionally, event summaries and recaps can be generated for users who are late-arriving or who depart and return to the event.