Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier
This paper introduces a robust, portable system for categorizing unknown words. It is based on a multi- component architecture where each component is responsible for identifying one class of unknown words. The focus of this paper is the component that identifies spelling errors. The misspelling ide...
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| creator | Toole, Janine |
| description | This paper introduces a robust, portable system for categorizing unknown words. It is based on a multi- component architecture where each component is responsible for identifying one class of unknown words. The focus of this paper is the component that identifies spelling errors. The misspelling identifier uses a decision tree architecture to combine multiple types of evidence about the unknown word. The misspelling identifier is evaluated using data from live closed captions - a genre replete with a wide variety of unknown words. |
| doi_str_mv | 10.1007/3-540-46695-9_11 |
| format | Conference Proceeding |
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It is based on a multi- component architecture where each component is responsible for identifying one class of unknown words. The focus of this paper is the component that identifies spelling errors. The misspelling identifier uses a decision tree architecture to combine multiple types of evidence about the unknown word. The misspelling identifier is evaluated using data from live closed captions - a genre replete with a wide variety of unknown words.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Baseline Case</subject><subject>Computational Linguistics</subject><subject>Computer science; control theory; systems</subject><subject>Edit Distance</subject><subject>Exact sciences and technology</subject><subject>Speech and sound recognition and synthesis. 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Linguistics</topic><topic>Spelling Error</topic><topic>Word Length</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toole, Janine</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toole, Janine</au><au>Foo, Norman</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier</atitle><btitle>Advanced Topics in Artificial Intelligence</btitle><date>1999</date><risdate>1999</risdate><spage>122</spage><epage>133</epage><pages>122-133</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540668225</isbn><isbn>9783540668220</isbn><eisbn>3540466959</eisbn><eisbn>9783540466956</eisbn><abstract>This paper introduces a robust, portable system for categorizing unknown words. It is based on a multi- component architecture where each component is responsible for identifying one class of unknown words. The focus of this paper is the component that identifies spelling errors. The misspelling identifier uses a decision tree architecture to combine multiple types of evidence about the unknown word. The misspelling identifier is evaluated using data from live closed captions - a genre replete with a wide variety of unknown words.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/3-540-46695-9_11</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advanced Topics in Artificial Intelligence, 1999, p.122-133 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_1173769 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Baseline Case Computational Linguistics Computer science control theory systems Edit Distance Exact sciences and technology Speech and sound recognition and synthesis. Linguistics Spelling Error Word Length |
| title | Categorizing Unknown Words: A Decision Tree-Based Misspelling Identifier |
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