Humanist Discussion Group, Vol. 35, No. 515.
        Department of Digital Humanities, University of Cologne
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        Date: 2022-02-07 21:18:33+00:00
        From: Marinella Testori <testorimarinella@gmail.com>
        Subject: LiLa and LASLA

[Da: Passarotti Marco Carlo (marco.passarotti) <marco.passarotti@unicatt.it>]

Dear all,

We are happy to inform you that, thanks to a collaboration between the LiLa
team at Università Cattolica del Sacro Cuore in Milan (Italy) and Prof.
Margherita Fantoli (KU Leuven, Belgium), the entire corpus of Latin texts
developed by the LASLA laboratory (http://web.philo.ulg.ac.be/lasla/) is
now linked to the Knowledge Base of interoperable linguistic resources for
Latin LiLa (https://lila-erc.eu).

The LASLA corpus contains a significant part of Classical Latin literature,
lemmatized and morphologically annotated by qualified collaborators over
the last sixty years.

Linking to LiLa allows the 131 Latin texts of the LASLA corpus (about 1.7
million words) to interact with the other textual and lexical resources
currently linked to LiLa, including the Index Thomisticus Treebank, the
UDante treebank, the sentiment lexicon LatinAffectus, the
morphological-derivational lexicon Word Formation Latin, two etymological
lexicons, a portion of the Latin WordNet and a lexicon of valency.

LiLa is based on the principles of the Linked Data paradigm, according to
which the relationships between data are recorded in triples (subject -
property - object). All the triples of the LASLA corpus linked to LiLa are
available in Turtle format from:
https://zenodo.org/record/5961378#.YfwJS_XMKX1
https://github.com/CIRCSE/LASLA
At the moment, the LiLa Knowledge Base consists of approximately 30 million
triples.

The Latin corpus of LASLA in LiLa can be found at this URL:
https://lila-erc.eu/data/corpora/Lasla/id/corpus

A search interface is available at https://lila-erc.eu/query/ to browse the
lexical basis of LiLa.
At https://lila-erc.eu/sparql/ it is possible to write and launch queries
in SPARQL on the LiLa Knowledge Base. Some precompiled queries are also
available. Try them!

By connecting to LiLa, the team at the Laboratoire d’Analyse Statistique
des Langues Anciennes (LASLA) hope to significantly enrich the potential of
analysis and research of the data created so far. Furthermore, we wish this
work will encourage free sharing of high-quality data, essential for the
advancement of research in our field.

We trust that LiLa meets the needs of the scientific community and that
those of you who develop or manage linguistic resources for Latin will
endeavour to link them to its Knowledge Base, thus making them
interoperable with the existing ones: the more we are, the better the
potentials! We will be happy to help you do it.

With best regards,

The LiLa and LASLA teams


Prof. Marco C. Passarotti
Computational Linguistics
Index Thomisticus Treebank https://itreebank.marginalia.it/
ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994)
CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html
<http://www.unicatt.it/>



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