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Eckhard Bick - VISL

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• 5. Tags can be integrated as meta-information in running text. This is an important<br />

advantage for the user-friendliness of tagged corpora and the versatility of searching<br />

tools.<br />

• 6. Tags are easy to evaluate statistically and facilitate lexicographic corpus research.<br />

• 7. Word based information is pedagogically transparent, and anticipates especially<br />

children's intuition about grammatical structure. In principle, tags can be presented<br />

not only as attached text, but also as colour-markings, underline highlights, subscripts<br />

etc. (cp. chapter 7.2).<br />

• 8. Grammatical information in tag-notation can easily be filtered into different<br />

annotation schemes by standard text processing tools. It is easily accessible to<br />

secondary application programs.<br />

Traditionally, due to these special aspects, the tagging notation has appealed to only a<br />

certain section of the linguistic community. The table shows typical target areas and the<br />

role of tagging in a number of corpus annotation projects.<br />

Users and non-users of word based tagging<br />

user non-user or partial user<br />

traditionally used for morphology: traditionally used for syntax<br />

lexicon -> morphology -> word class word class -> syntax<br />

analytical applications generative applications<br />

Many big corpora (BNC, LOB, Bank of Some hand checked corpora (Suzanne,<br />

English)<br />

Penn Tree Bank)<br />

Corpus-researchers (searching tools) Generative linguists<br />

Hidden Markov Models<br />

DCG, PSG, GPSG, HPSG - parsers (e.g.<br />

TWOL (two level morphology)<br />

Constraint Grammar<br />

Probabilistic parsers (e.g. CLAWS,<br />

PARTS, de Marcken)<br />

ALVEY, TOSCA)<br />

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