نتایج جستجو برای: l1 performance on collocation

تعداد نتایج: 8803234  

J. Rashidinia N. Taher

In this work, we study the performance of the sinc-Collocation method for solving Bratu's problem. For different choices of step size, we consider the maximum absolute errors in the solutions at sinc grid points and tabulated in tables. The comparison of the obtained results veri ed that this method converges to the exact solution rapidly and with  

Elaheh Sotoudehnama, Farnoosh Karimi, Zohreh Nafissi,

The present research aims to examine the effects of using culturally oriented texts in project-based classes on the views of EFL university students regarding their L1 culture. To this end, three experimental groups of intermediate EFL freshmen, assigned to classes A, B and C, participated in this study. Each of the classes were presented with reading passages focused on L1 culture, L2 culture,...

2017
Vasanthi Vuppuluri Shahryar Baki An Thai Nguyen Rakesh M. Verma

Collocation and idiom extraction are wellknown challenges with many potential applications in Natural Language Processing (NLP). Our experimental, open-source software system, called ICE, is a python package for flexibly extracting collocations and idioms, currently in English. It also has a competitive POS tagger that can be used alone or as part of collocation/idiom extraction. ICE is availab...

2012
Jianwei Mu Haibo Liang Xun Li Bin Xu Weiping Huang

We present an accurate, efficient numerical analysis for vector modes of dielectric optical waveguide structures with an arbitrary refractive index profile using a quadratic spline collocation method (QSCM). The unknown weights of the polynomials are determined by forcing the errors at the collocation points to be zero. Consequently, the original second order differential equation is converted ...

1994
Tao Hong Jonathan J. Hull

Given a noisy text page, a word recognizer can generate a set of candidates for each word image. A relaxation algorithm was proposed previously by the authors that uses word collocation statistics to select the candidate for each word that has the highest probability of being the correct decision. Because word collocation is a local constraint and collocation data trained from corpora are usual...

Bahareh Farzizadeh, Hamideh Marefat,

This study aims at investigating whether Persian native speakers highly advanced in English as a second language (L2ers) can switch to optimal processing strategies in the languages they know and whether working memory capacity (WMC) plays a role in this respect. To this end, using a self-paced reading task, we examined the processing strategies 62 Persian speaking proficient L2ers used to read...

Due to increasing applications of extended surfaces as passive methods of cooling, study of thermal behaviors and development of mathematical solutions to nonlinear thermal models of extended surfaces have been the subjects of research in cooling technology over the years. In the thermal analysis of fin, various methods have been applied to solve the nonlinear thermal models. This paper focuses...

2015
Sara Rodríguez-Fernández Roberto Carlini Leo Wanner

It is generally acknowledged that collocations in the sense of idiosyncratic word cooccurrences are a challenge in the context of second language learning. Advanced miscollocation correction is thus highly desirable. However, state-of-the-art “collocation checkers” are merely able to detect a possible miscollocation and then offer as correction suggestion a list of collocations of the given key...

2014
Daniil Sorokin Verena Henrich Erhard Hinrichs

The current study compares lexical association measures for automatic extraction of Estonian particle verbs from the text corpus. The central focus lies on the impact of the corpus size on the performance of the compared symmetrical association measures. Additionally a piece of empirical evidence of the advantage of asymmetric association measure ΔP for the task of collocation extra...

2012
Christopher W. Miller Howard Elman Christopher William Miller

Title of dissertation: FAST ALGORITHMS FOR THE SOLUTION OF STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS Christopher W. Miller, Doctor of Philosophy, 2012 Dissertation directed by: Professor Howard Elman Department of Computer Science Institute for Advanced Computer Studies We explore the performance of several algorithms for the solution of stochastic partial differential equations including the s...

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