Evaluating Competition-based Models of Word Order
نویسنده
چکیده
The ordering of constituents in semi-free word order languages has attracted considerable attention in theoretical linguistics. Three types of models have been proposed to explain word order preferences, based on (a) weighted constraints, (b) Optimality Theory (c) syntactic weight. All three models use grammatical competition to explain the interaction of word order constraints. They rely on intuitive judgments or corpus studies, but have not been evaluated against experimental data. This is the purpose of the present paper. We report the results of a magnitude estimation experiment investigating word order in German, focusing on the interaction of verb position, case marking, pronominalization, and information structure. The experimental data are compatible with models (a) and (b), indicating that relativized (ranked or weighted) constraints are essential in explaining word order preferences. Model (c), on the other hand, is not compatible with the data.
منابع مشابه
Efficiency evaluating and improvement by using the network SBM-DEA model with undesirable output: A case study of Iranian airlines
Measuring and improving the efficiency of organizations, as one of the most important parts of the organization's performance evaluation and a tool to control it, is a contemplative issue in order to survive and advance in the area of competition. Transportation is also a key element in the growth and development of countries that creates an unbreakable link among the various sections of the ec...
متن کاملAn Artificial Language Evaluation of Distributional Semantic Models
Recent studies of distributional semantic models have set up a competition between word embeddings obtained from predictive neural networks and word vectors obtained from count-based models. This paper is an attempt to reveal the underlying contribution of additional training data and post-processing steps on each type of model in word similarity and relatedness inference tasks. We do so by des...
متن کاملیک مدل موضوعی احتمالاتی مبتنی بر روابط محلّی واژگان در پنجرههای همپوشان
A probabilistic topic model assumes that documents are generated through a process involving topics and then tries to reverse this process, given the documents and extract topics. A topic is usually assumed to be a distribution over words. LDA is one of the first and most popular topic models introduced so far. In the document generation process assumed by LDA, each document is a distribution o...
متن کاملEvaluating the Success of the Visual Learners in Vocabulary Learning through Word List versus Sentence Making Approaches
Thisstudy sought to evaluate the learners' achievements with the visual learning style when exposed to the sentence making and word list approaches. On that account, 45 basic level participants who studied at the Iran Language Institute (ILI), Bushehr, took part in this research study. At the outset, the learners were given Barsch learning style inventory (1991) to determine the learners' learn...
متن کاملEvaluating the Success of the Visual Learners in Vocabulary Learning through Word List versus Sentence Making Approaches.
Thisstudy sought to evaluate the learners'''' achievements with the visual learning style when exposed to the sentence making and word list approaches. On that account, 45 basic level participants who studied at the Iran Language Institute (ILI), Bushehr, took part in this research study. At the outset, the learners were given Barsch learning style inventory (1991) to determine the learners''''...
متن کامل