CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool

Nadezda Okinina, Jennifer-Carmen Frey, Zarah Weiss


Abstract
Linguistic complexity research being a very actively developing field, an increasing number of text analysis tools are created that use natural language processing techniques for the automatic extraction of quantifiable measures of linguistic complexity. While most tools are designed to analyse only one language, the CTAP open source linguistic complexity measurement tool is capable of processing multiple languages, making cross-lingual comparisons possible. Although it was originally developed for English, the architecture has been ex-tended to support multi-lingual analyses. Here we present the Italian component of CTAP, describe its implementation and compare it to the existing linguistic complexity tools for Italian. Offering general text length statistics and features for lexical, syntactic, and morpho-syntactic complexity (including measures of lexical frequency, lexical diversity, lexical and syntactical variation, part-of-speech density), CTAP is currently the most comprehensive linguistic complexity measurement tool for Italian and the only one allowing the comparison of Italian texts to multiple other languages within one tool.
Anthology ID:
2020.lrec-1.880
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
7123–7131
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.880
DOI:
Bibkey:
Cite (ACL):
Nadezda Okinina, Jennifer-Carmen Frey, and Zarah Weiss. 2020. CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 7123–7131, Marseille, France. European Language Resources Association.
Cite (Informal):
CTAP for Italian: Integrating Components for the Analysis of Italian into a Multilingual Linguistic Complexity Analysis Tool (Okinina et al., LREC 2020)
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PDF:
https://aclanthology.org/2020.lrec-1.880.pdf