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2. Brill tagger - Wikipedia

   en.wikipedia.org/wiki/Brill_tagger

   The Brill tagger is an inductive method for part-of-speech tagging. It was described and invented by Eric Brill in his 1993 PhD thesis. It can be summarized as an "error-driven transformation-based tagger". It is: a transformation-based process, in the sense that a tag is assigned to each word and changed using a set of predefined rules.

3. Part-of-speech tagging - Wikipedia

   en.wikipedia.org/wiki/Part-of-speech_tagging

   Part-of-speech tagging. In corpus linguistics, part-of-speech tagging ( POS tagging or PoS tagging or POST ), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, [1] based on both its definition and its context . A simplified form of this is commonly taught to ...

4. Electronic toll collection - Wikipedia

   en.wikipedia.org/wiki/Electronic_toll_collection

   Electronic toll collection. E-ZPass tollbooths, like this one on the Pennsylvania Turnpike in Bensalem Township, Pennsylvania, use transponders to bill motorists. Electronic toll collection ( ETC) is a wireless system to automatically collect the usage fee or toll charged to vehicles using toll roads, HOV lanes, toll bridges, and toll tunnels. [1]

5. Automatic image annotation - Wikipedia

   en.wikipedia.org/wiki/Automatic_image_annotation

   Automatic image annotation. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and ...

6. CLAWS (linguistics) - Wikipedia

   en.wikipedia.org/wiki/CLAWS_(linguistics)

   CLAWS (linguistics) The Constituent Likelihood Automatic Word-tagging System (CLAWS) is a program that performs part-of-speech tagging. It was developed in the 1980s at Lancaster University by the University Centre for Computer Corpus Research on Language. [1] It has an overall accuracy rate of 96–97% with the latest version (CLAWS4) tagging ...

7. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Automatic summarization. Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different ...