Statistical-based collocation extraction approaches suffer from (1) low precision rate because high co-occurrence bi-grams may be syntactically unrelated and are thus not true collocations; (2) low recall rate because some true collocations with low occurrences cannot be identified successfully by statistical-based models. To integrate both syntactic rules as well as semantic knowledge into a s...

Corpus linguistic methods are discussed in the context of the automatic extraction of a candidate terminology of a specialist domain of knowledge. Collocation analysis of the candidate terms leads to some insight into the ontological commitment of the domain community or collective. The candidate terminology and ontology can be easily verified and validated and subsequently may be used in the c...

In this paper we consider a collocation method for solving Fredholm integral equations of the first kind, which is known to be an ill-posed problem. An “unregularized” use of this method can give reliable results in the case when the rate at which smallest singular values of the collocation matrices decrease is known a priori. In this case the number of collocation points plays the role of a re...

In this paper, a method is proposed to discriminate acronyms and their full names or expansions in scientific and technical literature abstracts by learning Wikipedia definition statements. Through this study, we aim to verify the effective utilization of an open knowledge base in the knowledge processing of domain-specific fields. Experimental results confirm that a noun phrase (NP)-type featu...

Word sense disambiguation is used in many natural language processing fields. One of the ways of disambiguation is the use of decision list algorithm which is a supervised method. Supervised methods are considered as the most accurate machine learning algorithms but they are strongly influenced by knowledge acquisition bottleneck which means that their efficiency depends on the size of the tagg...

Collocations are always present in every reading. Reading comprehension followed by collocation mastery. The objective of this research is (1) to investigate the students’ lexical mastery (2) reading achievement (3) significant correlation between and their English Department at 5th Semester UIN Fatmawati Sukarno Bengkulu. Correlational study was applied as a method. There were 30 students take...

The importance of collocations in the context of second language learning is generally acknowledged. Studies show that the “collocation density" in learner corpora is nearly the same as in native corpora, i.e., that use of collocations by learners is as common as it is by native speakers, while the collocation error rate in learner corpora is about ten times as high as in native reference corpo...