On-line Multilingual Linguistic Services

Eric Wehrli, Yves Scherrer, Luka Nerima


Abstract
In this demo, we present our free on-line multilingual linguistic services which allow to analyze sentences or to extract collocations from a corpus directly on-line, or by uploading a corpus. They are available for 8 European languages (English, French, German, Greek, Italian, Portuguese, Romanian, Spanish) and can also be accessed as web services by programs. While several open systems are available for POS-tagging and dependency parsing or terminology extraction, their integration into an application requires some computational competence. Furthermore, none of the parsers/taggers handles MWEs very satisfactorily, in particular when the two terms of the collocation are distant from each other or in reverse order. Our tools, on the other hand, are specifically designed for users with no particular computational literacy. They do not require from the user any download, installation or adaptation if used on-line, and their integration in an application, using one the scripts described below is quite easy. Furthermore, by default, the parser handles collocations and other MWEs, as well as anaphora resolution (limited to 3rd person personal pronouns). When used in the tagger mode, it can be set to display grammatical functions and collocations.
Anthology ID:
C16-2019
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Editor:
Hideo Watanabe
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
89–92
Language:
URL:
https://aclanthology.org/C16-2019
DOI:
Bibkey:
Cite (ACL):
Eric Wehrli, Yves Scherrer, and Luka Nerima. 2016. On-line Multilingual Linguistic Services. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 89–92, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
On-line Multilingual Linguistic Services (Wehrli et al., COLING 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ml4al-ingestion/C16-2019.pdf