LSS
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== Example == | == Example == | ||
− | SENTENCE: The book is on the table.<br /> | + | SENTENCE: The book is on the table.<br /> |
− | SSS: AO JNV NOV AJNO AO NV. | + | SSS: AO JNV NOV AJNO AO NV. |
Because: | Because: | ||
*"the" may be an adverb or other (determiner) | *"the" may be an adverb or other (determiner) |
Revision as of 21:21, 30 April 2013
Syntactic Surface Structures (SSS) are sequences of part-of-speech tags.
Contents |
Methodology
SSS's are extracted from the tokenization of a corpus using the enumerative dictionary, i.e., the list of the word forms available for a given language. As the enumerative dictionary may contain multiword expressions, the length of the SSS may not correspond to the number of isolated words in the sentence, but to the number of dictionary entries resulting from the application of the principle of the longest first. Additionally, as the tokenization does not perform any lexical disambiguation, the SSS contain all possible lexical categories of each of the components. The punctuation of the original sentence is preserved.
Categories
SSS uses the values of the attribute Lexical Category (LEX):
- A (adverb)
- J (adjective)
- N (noun)
- V (verb)
- O (other)
The symbol # is used for words not found in the dictionary. The punctuation is preserved.
Ambiguities
SSS brings all possible categories of a given string:
- AN = a string that can be an adverb and a noun
- AJN = a string that can be an adverb, an adjective and a noun
- NV = a string that can be a noun and a verb
etc.
Example
SENTENCE: The book is on the table.
SSS: AO JNV NOV AJNO AO NV.
Because:
- "the" may be an adverb or other (determiner)
- "book" may be an adjective, a noun or a verb
- "is" may be a noun, a verb or other (auxiliary)
- "on" may be an adjective, an adverb, a noun or other (preposition)
- "table" may be a noun or a verb
Note that the punctuation is preserved in the SSS.
Goal
The main goal of the SSS is to help users create grammars.