From Syntax to Semantics. First Steps Towards Tectogrammatical Annotation of Latin

Passarotti, Marco

doi:10.3115/v1/w14-0615

Cited by 9 publications

(8 citation statements)

References 7 publications

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“…Subcorpus Tokens L'Unità C 1 [1945 -1970] 52,287,734 L'Unità C 2 [1990-2014] 196,539,403 La Stampa C 1 [1945-1970 The corpora present two major differences. First, as shown in Table 1, the number of tokens in "La Stampa" is consistently larger than "L'Unità".…”

Section: Corpusmentioning

confidence: 99%

Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021

2021

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Linguistic diversity as a testing ground for the study of semantic change Abstract: There are between 6000 and 8000 languages currently spoken in the world. The majority of those still lack decent descriptions, not to mention any written tradition and sizeable documents to rely on while trying to trace semantic changes they have undergone in the past and understanding the mechanisms behind them. Understandably, but likewise regrettably, most of the theoretical thinking in linguistics and adjacent disciplines has been formed by research on a few very big languages with a long written tradition, and the same has to a large extent been carried over to computational approaches, including work on semantic change. In our talk we will focus on two big issues which we believe deserve more awareness and attention among researchers involved in computational approaches to historical language change:• A crucial part in any theoretical work consists of formulating hypotheses, generalizations, laws etc. and explaining them, and work on semantic change is, of course, no exception. Linguistic diversity does not imply that any such generalizations are meaningless or premature before these have been studied for all the world's languages. It does imply, though, that such generalizations gain a lot from careful systematic cross-linguistic research that may unveil cross-linguistic regularities behind diversity -which is foundational for linguistic typology. Here we will discuss several cases whereby such research has questioned earlier generalizations on semantic change based on the familiar languages and/or has come up with new hypotheses.• But given that the majority of the world's languages lack any written tradition and sizeable historical documents, how is it possible to study semantic changes they have undergone in the past? This is indeed a big challenge, but not an insurmountable one. We will discuss several methods which often combine a careful intragenetic comparison (i.e., comparison of closely related languages) and a broader cross-linguistic perspective and some of the results obtained by their application.

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Section: Corpusmentioning

confidence: 99%

Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021

2021

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“…The valency lexicon Latin Vallex (LV; (Passarotti, González Saveedra, and Onambele 2016)) was developed while performing the semantic annotation of two Latin treebanks, namely the Index Thomisticus Treebank, which includes works of Thomas Aquinas, written in Medieval Latin (Passarotti 2014), and the Latin Dependency Treebank, which features works of different authors of the Classical era (Bamman and Crane 2006). All valency-capable lemmas occurring in the semantically annotated portion of the two treebanks are assigned one lexical entry and one valency frame in LV.…”

Section: Lexical Resourcesmentioning

confidence: 99%

On Singles, Couples and Extended Families. Measuring Overlapping between Latin Vallex and Latin WordNet

Clemente¹,

Passarotti²

2016

ijcol

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Different lexical resources may pursue different views on lexical meaning. However, all of them deal with lexical items as common basic components, which are described according to criteria that may vary from one resource to another. In this paper, we present a method for measuring the degree of similarity between a valency-based lexical resource and a WordNet. This is motivated by both theoretical and practical reasons. As for the former, we wonder if there are lexical classes that "impose" themselves regardless of the fact that they are explicitly recorded as such in source lexical resources. As for the latter, our work wants to contribute to the research task dealing with merging lexical resources. In order to apply and evaluate our method, we propose a normalized coefficient of overlapping that measures the overlapping rate between a valency lexicon and a WordNet. In particular, in the context of the exploitation of the linguistic resources for ancient languages built over the last decade, we compute and evaluate the overlapping between a selection of homogeneous lexical subsets extracted from two lexical resources for Latin.

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“…The Latin valency lexicon Vallex (LV; González Saavedra and Passarotti, forthcoming) was developed while performing the semantic annotation of two Latin treebanks, namely the Index Thomisticus Treebank, which includes works of Thomas Aquinas (Passarotti, 2014), and the Latin Dependency Treebank, which features works of different authors of the Classical era (Bamman and Crane, 2006). All valency-capable lemmas occurring in the semantically annotated portion of the two treebanks are assigned one lexical entry and one valency frame in LV.…”

Section: The Latin Valency Lexicon Vallexmentioning

confidence: 99%

SentIta and Doxa: Italian Databases and Tools for Sentiment Analysis Purposes

Pelosi¹

2015

Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015

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From Syntax to Semantics. First Steps Towards Tectogrammatical Annotation of Latin

Cited by 9 publications

References 7 publications

Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021

Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021

On Singles, Couples and Extended Families. Measuring Overlapping between Latin Vallex and Latin WordNet

SentIta and Doxa: Italian Databases and Tools for Sentiment Analysis Purposes

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