Metonymic processing: a cognitive ability relevant to translators, editors and language teachers

‘Metonymic processing’, the ability to recognize relatedness through shared features, associations or part-whole relations, is a basic cognitive ability, which can be listed along with other abilities, such a matching, selecting, ordering and recombining. The ability to use language communicatively relies heavily on the ability to recognise metonymic relations, not just at word level, but also at sentence and discourse level. This paper proposes a ‘general theory of metonymy’ which shows the commonality between linguistic phenomena as diverse as: sense/reference, words categories, hyponyms/superordinates, synonymy, Indirect Speech Acts, textual cohesion and discourse metonymy. What are the practical implications of this? Much of the work of translators, editors and language teachers involves metonymic processing, because texts and translations, edited texts and the originals, and learner utterances and target utterances are related metonymically, that is, closely related, not literally equivalent nor metaphorically related. An awareness of this may go some way to making translators, editors and language teachers better practitioners

The Three Grammars and the Sign

This article presents an original three-component model of the linguistic sign. It shares with the established triadic models of Peirce (1955 [1897]) and Ogden & Richards (1923/1949) in identifying THOUGHT, WORD and THING as essential components; but differs in being linear, with THOUGHT and THING at opposite poles. It is argued that this arrangement reflects the way the components of the sign relate to reality and thereby serves well as an explanatory tool for linguistic research. The model is further modified at each of the ontological realms using concepts from cognitive linguistics, renamed COGNITION, LANGUAGE and REALITY. The new model is employed as a research tool in two case studies: one illustrates its use in making sense of the complex field of language grammar; the other does the same for figurative language – metaphor and metonymy. The article’s conclusions include that interrogating established cornerstones of linguistic theory in the light of new theory can lead to the development of improved research tools

Employing cognitive metonymy theory in the analysis of semantic relations between source and target text in translation

This article offers a model of translation which frames semantic relations between source- and target-text elements in terms of metonymy, and translation in terms of metonymic processing. Translators/interpreters constantly use approximations rather than exact one-to-one correspondences in their work, as meaning making is by nature partial and built-in matches between language systems do not exist. Approximation is identified as a recurrent theme in Translation Studies, while Metonymy Studies is seen as providing a toolkit for describing in detail the approximate semantic relations between source- and target-text elements. Models from Metonymy Studies are applied to two translation case studies and a translation revision case study. An original typology of metonymic relations is proposed based on whether or not source and target are encoded linguistically as vehicle and/or topic. It is concluded that the semantic relations between source- and target-text elements in translation are distinctive in two respects: 1) they are characterized by facetization and zone activation rather than metonymization; 2) they are examples of Topic metonymy (both source and target concepts are encoded) and Code-switching metonymy (the source and target concepts are encoded in different languages)

Exome-wide association study of pancreatic cancer risk

We conducted a case-control exome-wide association study to discover germline variants in coding regions that affect risk for pancreatic cancer, combining data from 5 studies. We analyzed exome and genome sequencing data from 437 patients with pancreatic cancer (cases) and 1922 individuals not known to have cancer (controls). In the primary analysis, BRCA2 had the strongest enrichment for rare inactivating variants (17/437 cases vs 3/1922 controls) (P=3.27x10(-6); exome-wide statistical significance threshold P<2.5x10(-6)). Cases had more rare inactivating variants in DNA repair genes than controls, even after excluding 13 genes known to predispose to pancreatic cancer (adjusted odds ratio, 1.35, P=.045). At the suggestive threshold (P<.001), 6 genes were enriched for rare damaging variants (UHMK1, AP1G2, DNTA, CHST6, FGFR3, and EPHA1) and 7 genes had associations with pancreatic cancer risk, based on the sequence-kernel association test. We confirmed variants in BRCA2 as the most common high-penetrant genetic factor associated with pancreatic cancer and we also identified candidate pancreatic cancer genes. Large collaborations and novel approaches are needed to overcome the genetic heterogeneity of pancreatic cancer predisposition

Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci

Chromosome 5p15.33 has been identified as a lung cancer susceptibility locus, however the underlying causal mechanisms were not fully elucidated. Previous fine-mapping studies of this locus have relied on imputation or investigated a small number of known, common variants. This study represents a significant advance over previous research by investigating a large number of novel, rare variants, as well as their underlying mechanisms through telomere length. Variants for this fine-mapping study were identified through a targeted deep sequencing (average depth of coverage greater than 4000×) of 576 individuals. Subsequently, 4652 SNPs, including 1108 novel SNPs, were genotyped in 5164 cases and 5716 controls of European ancestry. After adjusting for known risk loci, rs2736100 and rs401681, we identified a new, independent lung cancer susceptibility variant in LPCAT1: rs139852726 (OR = 0.46, P = 4.73×10(–9)), and three new adenocarcinoma risk variants in TERT: rs61748181 (OR = 0.53, P = 2.64×10(–6)), rs112290073 (OR = 1.85, P = 1.27×10(–5)), rs138895564 (OR = 2.16, P = 2.06×10(–5); among young cases, OR = 3.77, P = 8.41×10(–4)). In addition, we found that rs139852726 (P = 1.44×10(–3)) was associated with telomere length in a sample of 922 healthy individuals. The gene-based SKAT-O analysis implicated TERT as the most relevant gene in the 5p15.33 region for adenocarcinoma (P = 7.84×10(–7)) and lung cancer (P = 2.37×10(–5)) risk. In this largest fine-mapping study to investigate a large number of rare and novel variants within 5p15.33, we identified novel lung and adenocarcinoma susceptibility loci with large effects and provided support for the role of telomere length as the potential underlying mechanism