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Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .
Cloud platform with subtitle editor and workflow tools for collaborative captioning and subtitling, including making corrections to machine-generated captions. Add-ons include automatic speech recognition. Gnome Subtitles: GPL Linux Yes
A subtitle editor is a type of software used to create and edit subtitles to be superimposed over, and synchronized with, video. Such editors usually provide video preview, easy entering/editing of text, start, and end times, and control over text formatting and positioning.
The field of language documentation in the modern context involves a complex and ever-evolving set of tools and methods, and the study and development of their use – and, especially, identification and promotion of best practices – can be considered a sub-field of language documentation proper. [1]
The report stated "There was a 45% reduction in transmission rate." (Cf. the non-quotation The report stated there was a 45% reduction in transmission rate.) The report stated, "There was a 45% reduction in transmission rate." The comma-free approach is often used with partial quotations: The report observed "a 45% reduction in transmission rate".
SubRip is a free software program for Microsoft Windows which extracts subtitles and their timings from various video formats to a text file. It is released under the GNU GPL . [ 9 ] Its subtitle format's file extension is .srt and is widely supported.
A 2016 research project called "One Hundred Year Study on Artificial Intelligence" named Wikipedia as a key early project for understanding the interplay between artificial intelligence applications and human engagement. [30] There is a concern about the lack of attribution to Wikipedia articles in large-language models like ChatGPT. [19]
linked hierarchy and dependency graphs for function calls, variable sets and reads, class inheritance and interface, and file includes and interface, intra-function flow charts fully cross-linked project-wide, including all hierarchy and dependency graphs, metrics tables, source code snippets, and source files