We longitudinally assessed the development of oculomotor control in reading from second to fourth grade by having children read sentences with embedded target words of varying length and frequency. Additionally, participants completed oculomotor (pro-/anti-saccades) and linguistic tasks (word/picture naming), the latter containing the same item material as the reading task. Results revealed a 3...

An approach for the automatic acquisition of linguistic knowledge from unstructured data is presented. The acquired knowledge is represented in the lexical knowledge representation language DATR. A set of transformation rules that establish inheritance relationships and a defaultinference algorithm make up the basis components of the system. Since the overall approach is not restricted to a spe...

In this paper we describe the QuALiM Question Answering system which uses linguistic analysis of questions as well as candidate sentences in its answer finding process. To this end we have developed a rephrasing algorithm based on linguistic patterns that describe the structure of questions and candidate sentences and where precisely to find the answer in the candidate sentences. With this meth...

This paper presents a system for large vocabulary continuous speech recognition in condition of constrained hardware resources. We investigate efficient pruning and caching strategy aiming to handle extensive acoustic and linguistic modeling. Software components are analyzed in terms of resource consuming. Then, we evaluate the system performance in extreme configuration where acoustic and ling...

there are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. in this study, the profitability of a broad range of stock se-lection strategies in tehran stock exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

This paper presents a novel system HENNA (Hybrid Person Name Analyzer) for identifying language origin and analyzing linguistic structures of person names. We conduct ME-based classification methods for the language origin identification and achieve very promising performance. We will show that word-internal character sequences provide surprisingly strong evidence for predicting the language or...

This paper used the Fédération International de Football Association (FIFA) world ranking points data to examine how linguistic heterogeneity has an impact on technology transfer from the most developed countries. The major findings are: (1) the learning effect from the most developed countries on team performance is larger for developing countries than for developed countries. (2) Linguistic h...

This paper describes the system developed by the UBham team for the SemEval2014 Aspect-Based Sentiment Analysis task (Task 4). We present an approach based on deep linguistic processing techniques and resources, and explore the parameter space of these techniques applied to the different stages in this task and examine possibilities to exploit interdependencies between them.