Computer Science – Computation and Language
Scientific paper
2007-04-27
Computer Science
Computation and Language
New abstract. Due to a mistake, abstract from V1 was from an old, draft version of the work. The content of the paper is exact
Scientific paper
This paper includes a reflection on the role of networks in the study of English language acquisition, as well as a collection of practical criteria to annotate free-speech corpora from children utterances. At the theoretical level, the main claim of this paper is that syntactic networks should be interpreted as the outcome of the use of the syntactic machinery. Thus, the intrinsic features of such machinery are not accessible directly from (known) network properties. Rather, what one can see are the global patterns of its use and, thus, a global view of the power and organization of the underlying grammar. Taking a look into more practical issues, the paper examines how to build a net from the projection of syntactic relations. Recall that, as opposed to adult grammars, early-child language has not a well-defined concept of structure. To overcome such difficulty, we develop a set of systematic criteria assuming constituency hierarchy and a grammar based on lexico-thematic relations. At the end, what we obtain is a well defined corpora annotation that enables us i) to perform statistics on the size of structures and ii) to build a network from syntactic relations over which we can perform the standard measures of complexity. We also provide a detailed example.
No associations
LandOfFree
Network statistics on early English Syntax: Structural criteria does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Network statistics on early English Syntax: Structural criteria, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Network statistics on early English Syntax: Structural criteria will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-677384