In the past two decades there has been a considerable increase in the creation of computational linguistic resources for the investigation of classical languages, which have updated the state of the art almost to the same level as that of the resources currently available for modern languages. These resources are represented by annotated corpora, treebanks, computational lexica, and digital libraries. Beside these language resources there are NLP tools, such as morphological analysers, part-of-speech taggers, and syntactic parsers.
The WFL project consists in the compilation of a derivational morphological dictionary of the Latin language, which connects lexical elements on the basis of word-formation rules, where lemmas are segmented and analysed into their derivational morphological components, so to establish relationships between them on the basis of word formation, and the verbal noun amator can be reconnected to the verb amo through suffixation with –(a)tor.
A first attempt at constructing a lexicon based on word-formation for Latin was made by Marco Passarotti and Francesco Mambrini in 2012 [M. Passarotti & F. Mambrini, First Steps towards the Semi-automatic Development of a wordformation-based Lexicon of Latin, in Proceedings of LREC 2012, Istanbul, Turkey, 852-859], when they published a paper proposing a model for the semi-automatic extraction of word formation rules and the subsequent pairing of lemmas to their morphologically simplest lemma (i.e. non-derived). WFL is expanding on this first attempt and will result in a definitive linguistic resource.
The WFL project has three main aims:
- the enrichment of an existing morphological analyser for the Latin language, LEMLAT, [ Passarotti, M.(2004). “Development and perspectives of the Latin morphological analyser LEMLAT”. In A. Bozzi, L. Cignoni & J.L. Lebrave (Eds.), Digital Technology and Philological Disciplines. Linguistica Computazionale, XX-XXI, pp. 397- 414.] with wordformation information, and the integration of data within a interface similar to Word Manager [Domenig, M. & ten Hacken, P.(1992). Word Manager: A system for morphological dictionaries. Hildesheim: Olms.], which has been already applied to other modern languages (English, German, Italian);
- the integration of the information extracted from the resulting derivational morphological dictionary into the morphological layer of annotation the Index Thomisticus Treebank (IT-TB). The Index Thomisticus(IT) is considered a pathfinder in digital humanities; started by Padre Roberto Busa in 1949. It is a database retaining the opera omniaby Thomas Aquinas (118 texts), plus works by other 61 authors related to Thomas (61 texts). The size of the corpus is around 11 million tokens (150.000 types; 20.000 lemmas). The corpus is fully lemmatised and morphologically tagged. The IT-TB, based at CIRCSE, is the syntactically annotated portion of the IT, and it contains around 300.000 tokens for 15.000 syntactically parsed sentences. The morphological layer reports information about the lemmatization and the morphological features (PoS, gender, number, tense, etc.) for each word in the base text
- offering the results of the project work via a user-friendly project website which will display the derivational morphological dictionary through a web based search interface. This will allow the lexicon to be accessed:
- by single lexical entry, which will show both the ancestors and their derived words;
- by morphological family, i.e. the set of lemmas morphologically derived from one common ancestor-lemma;
- by WFR.
The project relies on the automatic realisation of the linguistic resource both at the level of WFRs creation and to their application on the lexical items included in the morphological analyser LEMLAT.
The final resource will be both a standalone dictionary accessible through its own website, and interconnected with the Index Thomisticus Treebank (IT-TB).
The integration with the IT-TB will be operated through the embedding of the dictionary data within the morphological layer of annotation of the treebank, using TEI (Text Encoding Initiative) P5 conformant XML encoding to favour data exchange and linking to other lexical resources. The data resulting from the dictionary, once encoded in XML, will be applied to the IT-TB data.
The results of the project work will be offered via a user-friendly website which will display the derivational morphological dictionary through a web based search interface.
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