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Eckhard Bick - VISL

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6<br />

The semantic perspective:<br />

Incremental Semantic Parsing (ISP)<br />

6.1 Semantic tagging<br />

Language analysis in a parsing perspective (both manual and automatic) is traditionally<br />

subdivided into different levels, where different applications take an interest in different<br />

levels. Thus a morphological or word class (PoS) analysis may be satisfactory for<br />

corpus based lexical frequency analyses, while internet based grammar teaching as in<br />

the <strong>VISL</strong> project (<strong>Bick</strong> 1998 and http://visl.hum.sdu.dk) needs syntactic, and machine<br />

translation needs semantic analysis.<br />

One might assume that each of these levels needs its own parsing tools, - for instance,<br />

probabilistic tools for PoS-tagging, generative grammars for syntactic parsing and<br />

logical meta-languages for the semantic level. My research, however, indicates that it is<br />

possible to extend at least one rule based tool - Constraint Grammar - to ever “higher”<br />

levels of analysis - provided a lexical data base containing the necessary lexicographic<br />

information is developed in parallel. One could say that in the case of Constraint<br />

Grammar, the quality and granularity of the analysis is not inherent in the technique, but<br />

rather goal driven, and that it can be improved in an incremental way.<br />

Are semantic tags practical?<br />

After morphological and syntactic tagging the next logical step in Progressive Level<br />

Parsing appears to be the semantic tagging of word items. But is semantic tagging<br />

possible, and is tagging a sensible approach at all to the semantic analysis of free text?<br />

Clearly, in terms of referent resolution or information content, any type of semantic<br />

analysis of NL texts is a task not to be fully resolved in the near future, - whatever the<br />

notational conventions used. Since human language is intertwined with human<br />

intelligence and human knowledge, full semantic analysis will not work without a<br />

certain degree of artificial intelligence and a huge bank of "knowledge about the<br />

world", both unavailable at the present time.<br />

Nevertheless, in a more limited sense, semantic tags can be useful for present day<br />

tasks:<br />

For one, semantic tags can be used, as secondary tags, for the disambiguation of<br />

syntactic ambiguity. , for instance, in a noun connected to the verb "build",<br />

would rule out the object reading, and favour a subject reading, in a language where<br />

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