Corpus linguistics is nowadays a well established field of research, where collaborative work with both computational and theoretical linguistics is required. As a matter of fact, computational linguistics makes use of corpus data to train probabilistic Natural Language Processing (NLP) tools, such as taggers and parsers; on the other hand, in empirical approaches to the study of language, theoretical linguistics refers to corpus evidence. On its side, corpus linguistics, as a discipline in itself, uses NLP tools to (semi)automatically build annotated corpora, and refers to linguistic theory as the backbone for the design of annotation guidelines. The creation of a linguistically annotated corpus is, therefore, an excellent opportunity to apply to real data (and potentially revise) linguistic theories which have been designed in a pre-corpus era. This is an even more attractive challenge if a language like Latin is involved. Indeed, while the language-dependent computational processing of Latin is today limited to automatic morphological tagging, a number of available language-independent methods and tools of analysis can be applied to it.

Passarotti, M. C., Theory and Practice of Corpus Annotation in the Index Thomisticus Treebank, <<LEXIS>>, 2009; 27 (N/A): 5-23 [http://hdl.handle.net/10807/1403]

Theory and Practice of Corpus Annotation in the Index Thomisticus Treebank

Passarotti
2009

Abstract

Corpus linguistics is nowadays a well established field of research, where collaborative work with both computational and theoretical linguistics is required. As a matter of fact, computational linguistics makes use of corpus data to train probabilistic Natural Language Processing (NLP) tools, such as taggers and parsers; on the other hand, in empirical approaches to the study of language, theoretical linguistics refers to corpus evidence. On its side, corpus linguistics, as a discipline in itself, uses NLP tools to (semi)automatically build annotated corpora, and refers to linguistic theory as the backbone for the design of annotation guidelines. The creation of a linguistically annotated corpus is, therefore, an excellent opportunity to apply to real data (and potentially revise) linguistic theories which have been designed in a pre-corpus era. This is an even more attractive challenge if a language like Latin is involved. Indeed, while the language-dependent computational processing of Latin is today limited to automatic morphological tagging, a number of available language-independent methods and tools of analysis can be applied to it.
Inglese
Passarotti, M. C., Theory and Practice of Corpus Annotation in the Index Thomisticus Treebank, <<LEXIS>>, 2009; 27 (N/A): 5-23 [http://hdl.handle.net/10807/1403]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/1403
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