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You Don’t Have to Think Twice if You Carefully Tokenize

Identifieur interne : 000170 ( Main/Exploration ); précédent : 000169; suivant : 000171

You Don’t Have to Think Twice if You Carefully Tokenize

Auteurs : Stefan Klatt [Allemagne] ; Bernd Bohnet [Allemagne]

Source :

RBID : ISTEX:6800DF6D171E421B4E2D105EF08CFA86A02E8475

Abstract

Abstract: Most of the currently used tokenizers only segment a text into tokens and combine them to sentences. But this is not the way, we think a tokenizer should work. We believe that a tokenizer should support the following analysis components in the best way it can. We present a tokenizer with a high focus on transparency. First, the tokenizer decisions are encoded in such a way that the original text can be reconstructed. This supports the identification of typical errors and – as a consequence – a faster creation of better tokenizer versions. Second, all detected relevant information that might be important for subsequent analysis components are made transparent by XML-tags and special information codes for each token. Third, doubtful decisions are also marked by XML-tags. This is helpful for off-line applications like corpora building, where it seems to be more appropriate to check doubtful decisions in a few minutes manually than working with incorrect data over years.

Url:
DOI: 10.1007/978-3-540-30211-7_32


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<div type="abstract" xml:lang="en">Abstract: Most of the currently used tokenizers only segment a text into tokens and combine them to sentences. But this is not the way, we think a tokenizer should work. We believe that a tokenizer should support the following analysis components in the best way it can. We present a tokenizer with a high focus on transparency. First, the tokenizer decisions are encoded in such a way that the original text can be reconstructed. This supports the identification of typical errors and – as a consequence – a faster creation of better tokenizer versions. Second, all detected relevant information that might be important for subsequent analysis components are made transparent by XML-tags and special information codes for each token. Third, doubtful decisions are also marked by XML-tags. This is helpful for off-line applications like corpora building, where it seems to be more appropriate to check doubtful decisions in a few minutes manually than working with incorrect data over years.</div>
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