1. Articles in category: Segmentation

    73-96 of 545 « 1 2 3 4 5 6 7 ... 21 22 23 »
    1. Document assembly systems and methods

      Embodiments of the present invention relate to devices, systems, and methods for assembling and/or creating documents with the aid of a computer system. One or more embodiments provide document assembly systems and methods. More specifically, the document assembly system may allow the user to retrieve relevant texts or text segments, which have been previously created, and may allow the user to incorporate such texts and/or text segments into a document.

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    2. Deep convolutional acoustic word embeddings using word-pair side information. (arXiv:1510.01032v1 [cs.CL])

      Recent studies have been revisiting whole words as the basic modelling unit in speech recognition and query applications, instead of phonetic units. Such whole-word segmental systems rely on a function that maps a variable-length speech segment to a vector in a fixed-dimensional space; the resulting acoustic word embeddings need to allow for accurate discrimination between different word types, directly in the embedding space.

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    3. Automatically Segmenting Oral History Transcripts. (arXiv:1509.08842v1 [cs.CL])

      Dividing oral histories into topically coherent segments can make them more accessible online. People regularly make judgments about where coherent segments can be extracted from oral histories. But making these judgments can be taxing, so automated assistance is potentially attractive to speed the task of extracting segments from open-ended interviews.

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    4. Text segmentation and label assignment with user interaction by means of topic specific language models, and topic-specific label statistics

      The invention relates to a method, a computer program product, a segmentation system and a user interface for structuring an unstructured text by making use of statistical models trained on annotated training data. The method performs text segmentation into text sections and assigns labels to text sections as section headings. The performed segmentation and assignment is provided to a user for general review. Additionally, alternative segmentations and label assignments are provided to the user being capable to select alternative segmentations and alternative labels as well as to enter a user defined segmentation and user defined label. In response to the ...

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    5. Method and system for processing information of a stream of information

      The invention is directed to a computer-implemented process for processing information related to entities and said entities being contained in a stream of information, the entities being stored in resource directories of a system, each resource directory containing entities and being annotated with a version number modified with the addition of at least one new entity. The process comprises the steps of: retrieving a stream of information from different information sources; processing segments of information from the stream of information in accordance with entities of said resource directories; storing the segments of information with an annotation indicating which version of ...

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    6. Song lyric processing with user interaction

      A computer-implemented system (and method and computer readable storage medium) are disclosed for processing interactions with song lyrics. The system is configured to provide for display on a screen of a computing device the song lyrics. The system detects a selection of a segment of the song lyrics and provides for display a menu of options for interacting with the selected segment of the song lyrics. The system receives a selection of an option from the menu of options and updates, in a user interaction database, a data field corresponding to the selected segment with the selected option from the ...

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    7. Using natural language processing to generate dynamic content

      Apparatus and method for using natural language processing (NLP) to generate dynamic content, such as but not limited to an audio/visual (A/V) presentation. In accordance with some embodiments, a language analysis module is adapted to analyze a data signal received into a memory. The data signal is generated responsive to an input sequence expressed in a natural language format by a user of a network accessible device. A database of informational segments is stored in a memory, and a compositing engine is adapted to generate an on-the-fly presentation from selected segments in the database and to transmit the ...

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    8. Methods and apparatus for real-time interaction analysis in call centers

      A method and system for indicating in real time that an interaction is associated with a problem or issue, comprising: receiving a segment of an interaction in which a representative of the organization participates; extracting a feature from the segment; extracting a global feature associated with the interaction; aggregating the feature and the global feature; and classifying the segment or the interaction in association with the problem or issue by applying a model to the feature and the global feature. The method and system may also use features extracted from earlier segments within the interaction. The method and system can ...

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    9. Content page URL translation

      The present technology may translate a content of a web page such as content locator (e.g., a uniform resource locator (URL)) from a source language to a target language. The content locator may be associated with a content page. The translation may involve dividing the content locator into segment tokens in a first language, followed by translating, transliterating or not changing a segment token. The processed tokens are then reassembled in a second language. The translation may be provided by a translation module through a content page provided by a network browser.

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    10. Exemplar-based latent perceptual modeling for automatic speech recognition

      Methods, systems, and computer-readable media related to selecting observation-specific training data (also referred to as "observation-specific exemplars") from a general training corpus, and then creating, from the observation-specific training data, a focused, observation-specific acoustic model for recognizing the observation in an output domain are disclosed. In one aspect, a global speech recognition model is established based on an initial set of training data; a plurality of input speech segments to be recognized in an output domain are received; and for each of the plurality of input speech segments: a respective set of focused training data relevant to the input speech ...

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    11. Computer-assisted natural language translation

      A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in ...

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    12. Methods and systems of supervised learning of semantic relatedness

      A method of evaluating a semantic relatedness of terms. The method comprises providing a plurality of text segments, calculating, using a processor, a plurality of weights each for another of the plurality of text segments, calculating a prevalence of a co-appearance of each of a plurality of pairs of terms in the plurality of text segments, and evaluating a semantic relatedness between members of each the pair according to a combination of a respective the prevalence and a weight of each of the plurality of text segments wherein a co-appearance of the pair occurs.

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    13. Unsupervised learning using global features, including for log-linear model word segmentation

      Described is a technology for performing unsupervised learning using global features extracted from unlabeled examples. The unsupervised learning process may be used to train a log-linear model, such as for use in morphological segmentation of words. For example, segmentations of the examples are sampled based upon the global features to produce a segmented corpus and log-linear model, which are then iteratively reprocessed to produce a final segmented corpus and a log-linear model.

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    73-96 of 545 « 1 2 3 4 5 6 7 ... 21 22 23 »
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