Abstract: A respective set of features, including emotion-related features, are extracted from segments of a video for which a preview is to be generated. A subset of the segments is chosen using the features and filtering criteria including at least one emotion-based filtering criterion. Respective weighted preview-suitability scores are assigned to the segments of the subset using at least a metric of similarity between individual segments and a plot summary of the video. The scores are used to select and combine segments to form a preview for the video.

Abstract: Technologies are provided for automated quality assessment of translations. In some embodiments, quality of a translation can be assessed by generating a machine-learning (ML) model that classifies the translation as pertaining to one of three quality categories. A first quality category can include, for example, translations that are deemed satisfactory. A second quality category can include, for example, translations that are deemed subject to edition prior to being deemed satisfactory. A third quality category can include, for example, translations that are deemed unsatisfactory. The generated ML model can then be applied to the translation and a corresponding sentence in a source language in order to classify the translation as pertaining to one of the three categories.

Abstract: An automated solution to determine suitable time ranges or timestamps for captions is described. In one example, a content file includes subtitle data with captions for display over respective timeframes of video. Audio data is extracted from the video, and the audio data is compared against a sound threshold to identify auditory timeframes in which sound is above the threshold. The subtitle data is also parsed to identify subtitle-free timeframes in the video. A series of candidate time ranges is then identified based on overlapping ranges of the auditory timeframes and the subtitle-free timeframes. In some cases, one or more of the candidate time ranges can be merged together or omitted, and a final series of time ranges or timestamps for captions is obtained. The time ranges or timestamps can be used to add additional non-verbal and contextual captions and indicators, for example, or for other purposes.

Abstract: Disclosed are various embodiments for evaluating the accuracy of a translation of a source text. Word embeddings from a first language and a second language are aligned in a shared vector space. Word pairs from the sourced text and translated text are then identified. Subsequently, similarity scores between respective word embeddings for the words in the word pair are calculated. Word pairs are then selected based on the similarity scores. The accuracy of the translation is then evaluated based at least in part on the selected word pairs.

Abstract: A context-aware spell checker to detect non-word spelling errors and/or suggest corrections. The context-aware spell checker may utilize n-gram conditional probabilities to suggest corrections based on a context of the non-word spelling error. The suggested corrections may be presented as a prioritized list of words based on calculated scores of the n-gram conditional probabilities. Utilizing n-gram conditional probabilities may permit the context-aware spell checker to be integrated across a multitude of languages or configured according to a particular language. The context-aware spell checker may perform spell checking and suggest corrections in real-time, or may be at least partially automated, to reduce user perceived latency and delay.

Abstract: The invention includes system for centralized rendering of user interface elements based on configurations as described in XML. A developer may create a definition for a field based on the nature of the information to be displayed to a user within a single file. Such definition will affect all future instances of the particular data type without a need to modify and/or compile code residing either within an HTML file or on a server.

Abstract: The invention includes system for centralized rendering of user interface elements based on configurations as described in XML. A developer may create a definition for a field based on the nature of the information to be displayed to a user within a single file. Such definition will affect all future instances of the particular data type without a need to modify and/or compile code residing either within an HTML file or on a server.