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 large to small; and that the language system emerges from the statistical abstraction of patterns latent within and across form and function in language usage. It considers recent research in individual d...

The Resolutions of the Dutch States General (1576–1796) is an archive covering over two centuries decision making and consists a heterogeneous series handwritten printed documents. archive, which has recently been digitised, rich source for historical research. However, owing to archive’s heterogeneity dispersion information, historians other researchers find it hard use their In this article, ...

Natural language makes considerable use of recurrent formulaic patterns of words. This article triangulates the construct of formula from corpus linguistic, psycholinguistic, and educational perspectives. It describes the corpus linguistic extraction of pedagogically useful formulaic sequences for academic speech and writing. It determines English as a second language (ESL) and English for acad...

Abstract Figurative language processing impairments in autism have been widely demonstrated, and considered a defining feature of autism. Studies this area often consider different types figurative together, less attention has paid to identifying the factors that might contribute difficulties specific language. Here we present preregistered systematic review meta-analysis studies assessing comp...

This paper introduces a new class of temporal expression – named temporal expressions – and methods for recognising and interpreting its members. The commonest temporal expressions typically contain date and time words, like April or hours. Research into recognising and interpreting these typical expressions is mature in many languages. However, there is a class of expressions that are less typ...

We describe SUTIME, a temporal tagger for recognizing and normalizing temporal expressions in English text. SUTIME is available as part of the Stanford CoreNLP pipeline and can be used to annotate documents with temporal information. It is a deterministic rule-based system designed for extensibility. Testing on the TempEval-2 evaluation corpus shows that this system outperforms state-of-the-art...

This paper describes the system implemented by the NLP GROUP AT UNED for the Knowledge Base Population 2013 English Slot Filling (SF) and Temporal Slot Filling (TSF) tasks. For the Slot Filling task, we implemented a distant supervision approach, using Freebase as a source of training relations and news sources to retrieve training examples. For the Temporal Slot Filling task, our approach is b...

The temporal expressions recognition and normalization system for Spanish language described in this paper was presented by the University Carlos III de Madrid to the NIST ACE07 evaluation. The system focuses on the primary TERN task in Spanish, a pilot experience this year. The description of its architecture and modules is detailed, as well as the rule-based approach implemented by a finite s...