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Record W3097834055

Anglo-Scandinavian language contacts and word order change in early English

2016· dissertation· en· W3097834055 on OpenAlex
Izabela Czerniak

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEF eRepo (University of Eastern Finland) · 2016
Typedissertation
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsWord orderLinguisticsLanguage changeWord (group theory)Order (exchange)Computer scienceNatural language processingPsychologyHistoryPhilosophyBusiness
DOInot available

Abstract

fetched live from OpenAlex

This study investigates one of the most important changes that the English language underwent in the earlier course of its development – the emergence of a rigid SVO word order. Both internal and external factors have been identified in the literature as influential in the change. Among the latter, contacts with the early Scandinavian population have often been mentioned as providing an important early input. These contacts have also been regarded as one of the factors contributing to the erosion of case inflections, a change implicated in the gradual stabilisation of the SVO order. The main objective of the present study is to assess the role of these external pressures in the establishment of the new syntactic conditions in early English. In a more general perspective, this study evaluates the significance of language contacts in promoting changes in morphosyntax. This research also examines the relevance of an influential theoretical model used in the literature to explain the changes at issue, viz. Johannes Schmidt’s wave theory.<br/>The material for the present study consists of two parsed corpora representing Old and Middle English: The York-Toronto-Helsinki Corpus of Old English Prose (YCOE) and The Penn Parsed Corpus of Middle English (PPCME2, Second Edition). Together, these databases comprise almost 3 million words and contain texts from different dialects. The frequency of occurrence of the (S)VO word order in particular dialect sectors is measured and compared from various angles relevant to the study. They include distinct clause settings, focusing on nominal or pronominal constituents of NPs in word order sequences, the potential impact of the date and genre of texts in sets, as well as exploring the differences in word order distributions between texts that are translations from foreign originals and those that represent native material. The multifaceted analysis of data aims, among other matters, to evaluate the usefulness of parsed diachronic corpora in tracking large-scale linguistic changes. The results show that (S)VO developed faster in the dialects of the areas affected by the contact, viz. the North and the East Midlands. This feature seems well established especially at the subordinate clause level. Furthermore, the highest normed frequency values for sequences with pronouns and nouns alike were found in the northernmost dialects. Both findings suggest a more external rather than internal motivation for the structural change. Evidence from genetic and archaeological studies, too, speaks in favour of a clearly marked Scandinavian zone, which temporally extended beyond the so-called Viking Era. With a repeated pattern of the most frequently occurring and most regularly distributed (S)VO particularly in the North, the connection between morphological simplification and the emerging new word order is more than likely. The prominence of the North within the dialectal spectrum likewise points to the existence of a focal area, which provided the starting point of linguistic innovations in a way advocated by the wave model. Set against the socio-political reality of medieval England, the results confirm the existence of a north-south divide, with the former constituting an auspicious setting for fostering changes of all kinds, including those occurring in the language.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.209
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it