Triggering V2: the Amount of Input Needed for Parameter Setting in a Split-cp Model of Clause Structure
نویسندگان
چکیده
In this paper I argue that children generally need relatively little input evidence to set word order parameters. Within a type of Split-CP model of clause structure, where different clause types are assumed to have different heads in the CP domain, I suggest that children make no global search of the primary linguistic data, but scan the input for designated word order cues, focusing exclusively on the relevant clause type. I investigate child and adult data from a dialect of Norwegian (Tromsø), where there is verb movement and verb second (V2) word order in some clause types, but not in others. The findings show that target-consistent word order is attested early in the different clause types, regardless of input frequencies, and that there is no overgeneralization of word order from one construction to another. This is argued to be due to the heads in the CP domain providing separate input cues for word order in the different clause types.
منابع مشابه
Analysis of Applying Event-triggered Strategy on the Model Predictive Control
In this paper, the event-triggered strategy in the case of finite-horizon model predictive control (MPC) is studied and its advantages over the input to state stability (ISS) Lyapunov based triggering rule is discussed. In the MPC triggering rule, all the state trajectories in the receding horizon are considered to obtain the triggering rule. Clearly, the finite horizon MPC is sub-optimal with ...
متن کاملRobust DEA under discrete uncertain data: a case study of Iranian electricity distribution companies
Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However, the real-world problems often deal with imprecise or ambiguous data. In this paper, we propose a novel robust data envelopment model (RDEA) to investigate the efficiencies of decision-making units (DMU) when there are discrete uncertain input and output data. The method is based ...
متن کاملSensitivity Analysis of MPSIAC Model
MPSIAC is currently known as an appropriate method to measure sediment ofWatershed basins of the country while there has not been any sensitivity analysis so far forthis method. In this study, required data for MPSIAC model were gathered from six basins;Amame-Kamarkhani, Kand-Golandok, Tang Kenesht (from two different references), Nojian(from three different references), Pegahe sorkh katvand (f...
متن کاملLearning and Unlearning V2: on the Robustness of the Triggering Experience in a Historical Perspective
In this paper I consider both the acquisition and loss of V2 (verb-second) word order, discussing some historical evidence from English and present-day data from Norwegian dialects. In both cases, there is a certain word order optionality, in that there are some clause types which require V2, while others require or allow non-V2. Furthermore, within the same clause type there are certain elemen...
متن کاملThe (Non-) Effect of Input Frequency on the Acquisition of Word Order in Norwegian Embedded Clauses
In this paper we show that input frequency plays a role in the acquisition of word order, but only combined with other factors. Two constructions with similar input frequencies are investigated: embedded questions and (all) embedded clauses with negation. It is shown that the lack of input cues for the target word order in embedded clauses with negation leads children to overgeneralize main cla...
متن کامل