the importance and howness of language learning/ acquisition has been a great concern for decades. there are many factors that play important roles in this regard. this research compared the performance of native persian and english elementary students to see if there is any significant difference between the two groups and which type of collocation they performed better within the groups. for ...

Texts in natural languages consist of words that are syntactically linked and semantically combinable—like political party, pay attention, or brick wall. Such semantically plausible combinations of two content words, which we hereafter refer to as collocations, are important knowledge in many areas of computational linguistics. We consider a lexical resource that provides such knowledge—a collo...

A language learning mode called “word-focused extensive reading” has been proposed to facilitate word-usage learning. The user inputs a word in the computer program designed and implemented for reading to find its usage in the context of a sentence. The computer program then searches for the knowledge base for the word and provides guidance to show a summary of the salient features of word coll...

This study investigates the influence of using five web-based practice units on English verb-noun collocations with the design of a web-based Chinese-English bilingual concordancer (keyword retrieval program) on collocation learning. Thirty-two college EFL students participated by taking a pre-test and two post-tests, and responding to a background questionnaire and an evaluation questionnaire....

BACKGROUND Infectious disease outbreaks in communities can be controlled by early detection and effective prevention measures. Assessing the relative importance of each individual community member with respect to these two processes requires detailed knowledge about the underlying social contact network on which the disease can spread. However, mapping social contact networks is typically too r...

MuLLinG is a model for knowledge extraction (especially lexical extraction from corpora), based on multilevel graphs. Its aim is to allow large-scale data acquisition, by making it easy to realize automatically, and simple to configure by linguists with limited knowledge in computer programming. In MuLLinG, each new level represents the information in a different manner (more and more abstract)...

We extend a lexical knowledge-base of near-synonym differences with knowledge about their collocational behaviour. This type of knowledge is useful in the process of lexical choice between near-synonyms. We acquire collocations for the near-synonyms of interest from a corpus (only collocations with the appropriate sense and part-of-speech). For each word that collocates with a nearsynonym we us...

One of the most common and persistent error types in second language writing is collocation errors, such as learn knowledge instead of gain or acquire knowledge, or make damage rather than cause damage. In this work-inprogress report, we propose a probabilistic model for suggesting corrections to lexical collocation errors. The probabilistic model incorporates three features: word association s...

Abstract Given the importance of collocational knowledge for second language learning, how collocation learning can be facilitated is an important question. The present study examined effects three different practice schedules on learning: node massed, and spaced. In node-massed schedule, collocations same verb were studied day. collocation-massed in weeks. collocation-spaced participants encou...