Embodiments are disclosed for text-aware application of a color gradient to text characters. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a set of text characters in a first layout, determining a first text path of the set of text characters in the first layout, mapping the set of text characters from the first layout to a second layout, wherein the set of text characters in the second text path are aligned along a coordinate axis, applying a linear color gradient across the mapped set of text characters in the second layout, reverse mapping the set of text characters with the applied linear color gradient from the second layout to the first layout, and outputting the set of text characters in the first layout with the applied linear color gradient from the second layout based on the reverse mapping.

A multi-feature log anomaly detection method includes steps of: preliminarily processing a log data set to obtain a log entry word group corresponding to all semantics of a log sequence in the log data set, and using the log entry word group as a semantic feature of the log sequence; extracting a type feature, a time feature and a quantity feature of the log sequence, and encoding the semantic feature, the type feature, the time feature and the quantity feature into a log feature vector set of the log sequence; training a BiGRU neural network model with all log feature vector sets to obtain a trained BiGRU neural network mode; and inputting the log data set to be detected into the trained BiGRU neural network model for prediction, and determining whether the log sequence is a normal or abnormal log sequence according to a prediction result.

A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.

Embodiments described herein provide a computer-implemented method of creating a digest of a document. The document to be processed and analysed may be a physical document, or it may already be in a digital form. In the case of starting from a physical document, the document is first scanned, so as to obtain an image of the document. The digital document is then processed using an algorithm or function to obtain one or more datasets comprising a plurality of position independent values. Each of the datasets may correspond to a different line of text or field of text within the document. The one or more datasets are then encoded, the encoded data being used to generate a digest associated with the document, and wherein the digest comprises a plurality of short hashes corresponding to each dataset. The generated digest can then be used to print a digital signature on the document, which can be used to later verify the authenticity of the document or a copy thereof.

A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

A device and method for providing recommended words for a character input by a user are provided. The method by which the device provides recommended words includes: receiving an input for inputting a character in a character input window; recommending at least one pseudo-morpheme including the input character by analyzing the input character; recommending at least one extended word including a selected pseudo-morpheme in response to receiving an input for selecting one of the at least one pseudo-morpheme; and displaying a selected extended word in response to receiving an input for selecting one of the at least one extended word.

A method and a file format transformation system (FFTS) for transforming marked-up content in a first file format (FFF) to a second file format (SFF) that enables automated browser based pagination are provided. The FFTS reflows marked-up content of the FFF into a continuous page. The FFTS generates and appends tags to spaces and block elements identified in the reflown marked-up content of the FFF. For each space and block element, the FFTS determines and tags line breaks in the reflown marked-up content. For each line break, the FFTS identifies, tags, and positions anchored floats and footnotes on a current page based on space availability. The FFTS positions page breaks in the continuous page based on a configurable page height and the line breaks. The FFTS groups the marked-up content, inserts pagination elements and renders the grouped marked-up content in the SFF based on a selected level of reversibility.

A system, method and non-transitory, computer-readable storage medium are disclosed for implementing dynamic layout rules for attributed text strings having different type styles. In some implementations, developers can use an Application Programming Interface (API) or a design tool to specify dynamic text layout rules for rendering attributed text strings in a user interface (UI). Various text attributes associated with the different type styles (e.g., font metrics) are dynamically adjusted based on the dynamic text layout rules to improve the readability of the text when, for example, font sizes are adjusted. In some implementations, one or more parameters of a text container, text container region, line-fragment or display object are dynamically adjusted based on the dynamic text layout rules to improve the readability of the text.