The Nature of Syntactic Priming – Relevance and Interplay of Semantic and Syntactic Information

نویسنده

  • Judith Köhne
چکیده

It is an ongoing matter of debate, what the nature of syntactic priming effects, and hence, the nature of grammatical information in language processing is. Two specific issues are the focus of the current examination: firstly, the possible relevance of semantic information, and secondly, the role of different stages in grammatical encoding (as proposed by Levelt, 1989). The results of two German picture-description experiments indicate that semantic information plays a weak role in syntactic priming and that, within the double object construction, the two possible word orders (NP1(dative)-NP2(accusative) and NP2(accusative)-NP1(dative) can be primed but do not prime each other. This can be interpreted as the lack of a priming effect on a functional or hierarchy-only level in grammatical encoding. In addition, the nature of word order priming is further investigated.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Semantic Priming Effect on Relative Clause Attachment Ambiguity Resolution in L2

This study examined whether processing ambiguous sentences containing relative clauses (RCs) following a complex determiner phrase (DP) by Persian-speaking learners of L2 English with different proficiency and working memory capacities (WMCs) is affected by semantic priming. The semantic relationship studied was one between the subject/verb of the main clause and one of the DPs in the complex D...

متن کامل

برچسب‌زنی نقش معنایی جملات فارسی با رویکرد یادگیری مبتنی بر حافظه

Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...

متن کامل

برچسب‌زنی خودکار نقش‌های معنایی در جملات فارسی به کمک درخت‌های وابستگی

Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...

متن کامل

Verbs in Applied Linguistics Research Article Introductions: Semantic and syntactic analysis

This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

متن کامل

Verbs in Applied Linguistics Research Article Introductions: Semantic and syntactic analysis

This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007