"text parsing" is correct and usable in written English.
You can use it when you want to refer to the process of breaking up a piece of text into component parts in order to better understand its structure and meaning. For example, "The machine is able to do text parsing to figure out the meaning of a sentence."
To this end, concepts involved in a task are extracted and used for perceiving various problematic situations which may occur; and keyword-based search and text parsing techniques are combined to retrieve possible remedies from unstructured knowledge carriers.
State-of-the-art optical character recognition, automatic text parsing software, and a powerful search and display system, provided by Digital Data Divide and Digital Library Consulting, respectively, allow for article-level access as well as full text searching of the entire Archive.
State of the art optical character recognition, automatic text parsing software, and a powerful search and display system, provided by Digital Data Divide and Digital Library Consulting respectively, allow for article-level access as well as full text searching of the entire Archive.
Text parsing: Similar as done in tag mining (above).
After collection, text parsing programs were written in Java to extract relevant message data embedded within collected web pages.
Further options of representation include text parsing to consider additional information on terms such as word type or syntax [77].
In order to succeed, they have to convert speech to text, parse the text, and understand a substantial vocabulary.
It works by taking text records and parsing the text into all possible ordered phrases of all sizes up to a predetermined limit (5, in this case).
His research interests include machine translation, grammatical error correction and other text-to-text rewriting, text classification, and parsing.
Text preprocessing includes parsing the full text for sentences, tokens or words, parts of speech and dependency graph relationships.
EMU has a two-step filter process to identify SNP mentions: first, the text was searched for matches to a list of regular expressions, and each match in the text was parsed leveraging the internal component structure of the regular expression that identified it; second, the matches were filtered using a different group of regular expressions as a stop-list.
