This is the author accepted manuscript. The final version is available from Springer via the DOI in this recordIn this chapter, we provide an overview of quantitative as well as qualitative approaches to co-occurrence data. We begin with a brief terminological overview of different types of co-occurrence that are prominent in corpus-linguistic studies and then discuss the computation of some widely-used measures of association used to quantify co-occurrence. We present two representative case studies, one exploring lexical collocation and learner proficiency, the other creative uses of verbs in/with argument structure constructions. In addition, we highlight how most widely-used measures actually all fall out from viewing corpus-linguistic ...
International audienceMethods dealing with bilingual lexicon extraction from comparable corpora are ...
This thesis is devoted to an empirical study of lexical association measures and their application t...
AbstractIn this paper we have analysed different association measures between words, generally used ...
Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical ...
Much research in learner language involves studying the degree to which frequencies of use of some l...
L2 research has witnessed a boom in the number of studies that investigate learners’ use of multi-wo...
This book re-examines the notion of word associations, more precisely collocations. It attempts to c...
Learner corpus research has witnessed a boom in the number of studies that investigate learners’ use...
Semantic associations have served as a tool in cognitive science research for decades, and in recent...
This position paper presents a comparative study of co-occurrences. Some similarities and difference...
This article focuses on the use of collocations in language learning research (LLR). Collocations, a...
Analysing strength of lexical co-occurrence using Mutual Information (MI) and Pearson’s chi-square t...
Since the definition, application, and evaluation of statistical association measures that take into...
This presentation aims to report on an investigation of the development of verb + object co-occurren...
In various research fields of the humanities and the social sciences, cooccurrence relationships bet...
International audienceMethods dealing with bilingual lexicon extraction from comparable corpora are ...
This thesis is devoted to an empirical study of lexical association measures and their application t...
AbstractIn this paper we have analysed different association measures between words, generally used ...
Lexical co-occurrence is an important cue for detecting word associations. We present a theoretical ...
Much research in learner language involves studying the degree to which frequencies of use of some l...
L2 research has witnessed a boom in the number of studies that investigate learners’ use of multi-wo...
This book re-examines the notion of word associations, more precisely collocations. It attempts to c...
Learner corpus research has witnessed a boom in the number of studies that investigate learners’ use...
Semantic associations have served as a tool in cognitive science research for decades, and in recent...
This position paper presents a comparative study of co-occurrences. Some similarities and difference...
This article focuses on the use of collocations in language learning research (LLR). Collocations, a...
Analysing strength of lexical co-occurrence using Mutual Information (MI) and Pearson’s chi-square t...
Since the definition, application, and evaluation of statistical association measures that take into...
This presentation aims to report on an investigation of the development of verb + object co-occurren...
In various research fields of the humanities and the social sciences, cooccurrence relationships bet...
International audienceMethods dealing with bilingual lexicon extraction from comparable corpora are ...
This thesis is devoted to an empirical study of lexical association measures and their application t...
AbstractIn this paper we have analysed different association measures between words, generally used ...