The analysis of the co-occurrence patterns between words allows for a better understanding of the use (and meaning) of words and its most straightforward applications are lexicography and linguist description in general. Some tools already produce co-occurrence information about words taken from Portuguese corpora, but few can use lemmata or syntactic dependency information. Syntax Deep Explorer is a new tool that uses several association measures to quantify several co-occurrence types, defined on the syntactic dependencies (e.g. subject, complement, modifier) between a target word lemma and its co-locates. The resulting co-occurrence statistics is represented in lex-grams, that is, a synopsis of the syntactically-based co-occurrence patterns of a word distribution within a given corpus. These lex-grams are obtained from a large-sized Portuguese corpus processed by STRING [19] and are presented in a user-friendly way through a graphical interface. The Syntax Deep Explorer will allow the development of finer lexical resources and the improvement of STRING processing in general, as well as providing public access to co-occurrence information derived from parsed corpora.
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CITATION STYLE
Correia, J., Baptista, J., & Mamede, N. (2016). Syntax deep explorer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9727, pp. 189–201). Springer Verlag. https://doi.org/10.1007/978-3-319-41552-9_19