This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

This paper provides an overview of how analyses of linguistic features in writing samples
provide a greater understanding of predictions of both text quality and writer development …

We present Branch-Train-Merge (BTM), a communication-efficient algorithm for
embarrassingly parallel training of large language models (LLMs). We show it is possible to …

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 …

Introducing English for Specific Purposes presents the key concepts and practices of ESP in
a modern, balanced, and comprehensive way. This book defines ESP and shows how the …

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 …

Coh-Metrix is among the broadest and most sophisticated automated textual assessment
tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix …

Pathways of relations of language, cognitive, and literacy skills (ie, working memory,
vocabulary, grammatical knowledge, inference, comprehension monitoring, word reading …

The smallest and most commonly used words in English are pronouns, articles, and other
function words. Almost invisible to the reader or writer, function words can reveal ways …

Syntactic complexity is an important measure of second language (L2) writing proficiency
(Larsen–Freeman, 1978; Lu, 2011). Large‐grained indices such as the mean length of T …