Abstract: Using exemplary sentences, usage patterns and thematic roles ascribed in VerbNet to generate “deep pattern trees” for the exemplary sentences. Then, when an arbitrary natural language subject sentence is input, these deep pattern trees can be matched to the natural language subject sentence in order to assign thematic roles to at least some of the “grammatical portions” of the natural language subject sentence.

Abstract: The present disclosure describes a teleconferencing system that may use a virtual participant processor to translate language content of the teleconference into each participant's spoken language without additional user inputs. The virtual participant processor may connect to the teleconference as do the other participants. The virtual participant processor may intercept all text or audio data that was previously exchanged between the participants may now be intercepted by the virtual participant processor. Upon obtaining a partial or complete language recognition result or making a language preference determination, the virtual participant processor may call a translation engine appropriate for each of the participants. The virtual participant processor may send the resulting translation to a teleconference management processor. The teleconference management processor may deliver the respective translated text or audio data to the appropriate participant.

Abstract: Methods, systems, and apparatuses are described for performing speaker-identification-assisted speech processing. In accordance with certain embodiments, a communication device includes speaker identification (SID) logic that is configured to identify a user of the communication device and/or the identity of a far-end speaker participating in a voice call with a user of the communication device. Knowledge of the identity of the user and/or far-end speaker is then used to improve the performance of one or more speech processing algorithms implemented on the communication device.

Abstract: A method for determining mantissa bit allocation of audio data values of frequency domain audio data to be encoded. The allocation method includes a step of determining masking values for the audio data values, including by performing adaptive low frequency compensation on the audio data of each frequency band of a set of low frequency bands of the audio data. The adaptive low frequency compensation includes steps of: performing tonality detection on the audio data to generate compensation control data indicative of whether each frequency band in the set of low frequency bands has prominent tonal content; and performing low frequency compensation on the audio data in each frequency band in the set of low frequency bands having prominent tonal content as indicated by the compensation control data, but not performing low frequency compensation on the audio data in any other frequency band in the set of low frequency bands.

Abstract: An input signal that includes linguistic content in a first language may be received by a computing device. The linguistic content may include text or speech. The computing device may associate the linguistic content in the first language with one or more phonemes from a second language. The computing device may also determine a phonemic representation of the linguistic content in the first language based on use of the one or more phonemes from the second language. The phonemic representation may be indicative of a pronunciation of the linguistic content in the first language according to speech sounds of the second language.

Abstract: A corpus of textual listings is received and main concept words and attribute words therein are identified via an iterative process of parsing listings and expanding a semantic model. During the parsing phase, the corpus of textual listings is parsed to tag one or more head noun words and/or one or more identifier words in each listing based on previously identified main concept words or using a head noun identification rule. Once substantially each listing in the corpus has been parsed in this manner, the expansion phase assigns head noun words as main concept words and modifier words as attribute words, where possible. During the next iteration, the newly identified main concept words and/or attribute words are used to further parse the listings. These iterations are repeated until a termination condition is reached. Remaining words in the corpus are clustered based on the main concept words and attribute words.

Abstract: Various embodiments described herein facilitate multi-lingual communications. The systems and methods of some embodiments enable multi-lingual communications through different modes of communication including, for example, Internet-based chat, e-mail, text-based mobile phone communications, postings to online forums, postings to online social media services, and the like. Certain embodiments implement communication systems and methods that translate text between two or more languages. Users of the systems and methods may be incentivized to submit corrections for inaccurate or erroneous translations, and may receive a reward for these submissions. Systems and methods for assessing the accuracy of translations are described.

Abstract: An audio stream is segmented into a plurality of time segments using speaker segmentation and recognition (SSR), with each time segment corresponding to the speaker's name, producing an SSR transcript. The audio stream is transcribed into a plurality of word regions using automatic speech recognition (ASR), with each of the word regions having a measure of the confidence in the accuracy of the translation, producing an ASR transcript. Word regions with a relatively low confidence in the accuracy of the translation are identified. The low confidence regions are filtered using named entity recognition (NER) rules to identify low confidence regions that a likely names. The NER rules associate a region that is identified as a likely name with the name of the speaker corresponding to the current, the previous, or the next time segment. All of the likely name regions associated with that speaker's name are selected.

Abstract: Described herein are methods for finding substantially similar/different sources (files and documents), and estimating similarity or difference between given sources. Similarity and difference may be found across a variety of formats. Sources may be in one or more languages such that similarity and difference may be found across any number and types of languages. A variety of characteristics may be used to arrive at an overall measure of similarity or difference including determining or identifying syntactic roles, semantic roles and semantic classes in reference to sources.

Abstract: A web browser agent or plug-in installed into a web browser of a client device provides translation services along with a search engine server. The system accesses a web page in one (local) language and then translates to another (foreign) language and displays the translated content in a web page for user's viewing. The web browser agent is an add-on software tool or plug-in, provided by the search engine server and installed into the web browser. As a result of installation, a toolbar appears on the top of the web browser's page. This toolbar provides the interface to enable local translation of web pages from a local/web language to a target/foreign language useful to the user. Centralized (cloud computing) translation services by servers of a third party may also be employed. Web pages in any number of languages may be accessed using this operations/structure.

Abstract: Embodiments of the present teachings relate to systems and methods for generating pronounceable domain names. The method includes proving a list of character strings; filtering the list of character strings through a first filter based on a phonetic model to produce a first filtered list of character strings; filtering the list of character strings through a second filter based on a character order mode to produce a second filtered list of character strings; and generating, by a processor, a list of pronounceable domain names based on the first filtered list of character strings and the second filtered list of character strings.

Abstract: Methods, apparatus, and products are disclosed for altering behavior of a multimodal application based on location. The multimodal application operates on a multimodal device supporting multiple modes of user interaction with the multimodal application, including a voice mode and one or more non-voice modes. The voice mode of user interaction with the multimodal application is supported by a voice interpreter.

Abstract: A dialog system is accessed by a remote user and is typically configured to receive a natural language query from the user and return a natural language answer to the user. Dialog systems can be copied without authorization or can become an out-of-date version. A dialog system with a signature, referred to herein as a “signed” dialog system, can indicate the signature without affecting usage by users who are unaware that the dialog system contains the signature. The signed dialog system can respond to input such that only the designer of the dialog system knows the signature is embedded in the dialog system. The response is a way to check the source or other characteristics of the dialog system. A designer of signed dialog systems can prove whether an unauthorized copy of the signed dialog system is used by a third party by using publically-available user interfaces.

Abstract: Computer-implemented systems and methods are provided for determining an overall mood score of a document. For example, the document is received from a computer-readable medium. A text segment in a document is identified to be indicative of a mood of the document. The text segment is mapped to a mood scale among a predetermined set of mood scales. A mood weight associated with the mood scale for the text segment is generated. An overall mood score of the document is determined based at least in part on the mood weight.

Abstract: A method and device are provided for modifying a compounded voice message having at least one first voice component. The method includes a step of obtaining at least one second voice component, a step of updating at least one item of information belonging to a group of items of information associated with the compounded voice message as a function of the at least one second voice component and a step of making available the compounded voice message comprising the at least one first and second voice components, and the group of items of information associated with the compounded voice message. The compounded voice message is intended to be consulted by at least one recipient user.

Abstract: Described herein are methods for finding substantially similar/different sources (files and documents), and estimating similarity or difference between given sources. Similarity and difference may be found across a variety of formats. Sources may be in one or more languages such that similarity and difference may be found across any number and types of languages. A variety of characteristics may be used to arrive at an overall measure of similarity or difference including determining or identifying syntactic roles, semantic roles and semantic classes in reference to sources.

Abstract: Systems and methods for tuning a dictionary of a speech recognition system includes accessing a voice mail record of a user, accessing a recorded audio file of a name of the user in the voice mail record spoken by the user, providing the audio file to a speech recognition system, processing the audio file in the speech recognition system and obtaining a text result, determining whether a confidence score of the text result is below a predetermined threshold, and adding, at least, the name of the user to a list of low confidence names. Alternate spellings for the low confidence names can then be added to the dictionary.

Abstract: A system and method may be configured to analyze audio information derived from an audio signal. The system and method may track sound pitch across the audio signal. The tracking of pitch across the audio signal may take into account change in pitch by determining at individual time sample windows in the signal duration an estimated pitch and an estimated fractional chirp rate of the harmonics at the estimated pitch. The estimated pitch and the estimated fractional chirp rate may then be implemented to determine an estimated pitch for another time sample window in the signal duration with an enhanced accuracy and/or precision.

Abstract: A method of providing hands-free services using a mobile device having wireless access to computer-based services includes carrying out a completed speech session via a mobile device without any physical interaction with the mobile device, wherein the speech session includes receiving a speech input from a user, and obtaining from a cloud service a service result responsive to the speech input, and providing the service result as a speech response presented to the user.

Abstract: Systems and methods for information and action management including managing and communicating critical and non-critical information relating to certain emergency services events or incidents as well as other applications. More specifically, systems and methods for information and action management including a plurality of mobile interface units that include one or more of a language translation sub-system, an action receipt sub-system, a voice-to-text conversion sub-system, a media management sub-system, a revision management sub-system that restricts the abilities of some users, and a report generation sub-system that creates reports operatively coupled to the language translation sub-system, the action receipt sub-system, the voice-to-text conversion sub-system, the media management sub-system, and the revision management sub-system to auto-populate report fields.