This article focuses on the use of collocations in language learning research (LLR).
Collocations, as units of formulaic language, are becoming prominent in our understanding …

This article revisits earlier proposals that language learning is, in essence, the learning of
formulaic sequences and their interpretations; that this occurs at all levels of granularity from …

This volume outlines a model of language that can be characterized as functionalist, usage-
based, dynamic, and complex-adaptive. The core idea is that linguistic structure is not stable …

Corpora are widely used in linguistics, but not always wisely. This book attempts to frame
corpus linguistics systematically as a variant of the observational method. The first part …

Statistics lies at the heart of scientific investigation. It helps the researcher to formulate and
test theoretical hypotheses, making generalizations about a population of interest based on …

Relation triples produced by open domain information extraction (open IE) systems are
useful for question answering, inference, and other IE tasks. Traditionally these are extracted …

Context-predicting models (more commonly known as embeddings or neural language
models) are the new kids on the distributional semantics block. Despite the buzz …

The idea that text in a particular field of discourse is organized into lexical patterns, which
can be visualized as networks of words that collocate with each other, was originally …

Fact verification requires validating a claim in the context of evidence. We show, however,
that in the popular FEVER dataset this might not necessarily be the case. Claim-only …

Distributional semantic models derive computational representations of word meaning from
the patterns of co-occurrence of words in text. Such models have been a success story of …