A probabilistic model of Ancient Egyptian writing

This article offers a formalization of how signs form words in Ancient Egyptian writing, for either hieroglyphic or hieratic texts. The formalization is in terms of a sequence of sign functions, which concurrently produce a sequence of signs and a sequence of phonemes. By involving a class of probabilistic automata, we can define the most likely sequence of sign functions that relates a given sequence of signs to a given sequence of phonemes. Experiments with two texts are discussed.Publisher PDFPeer reviewe

Dimensions of social meaning in post-classical Greek towards an integrated approach

Especially in the first half of the twentieth century, language was viewed as a vehicle for the transmission of facts and ideas. Later on, scholars working in linguistic frameworks such as Functional and Cognitive Linguistics, (Historical) Sociolinguistics and Functional Sociolinguistics, have emphasized the social relevance of language, focusing, for example, on linguistic concepts such as deixis, modality, or honorific language, or embedding larger linguistic patterns in their social contexts, through notions such as register, sociolect, genre, etc. The main aim of this article is to systematize these observations, through an investigation of how the central, though ill-understood notion of “social meaning” can be captured. The starting point for the discussion is the work that has been done in the framework of Systemic Functional Linguistics. This framework distinguishes “social” (“interpersonal”) meaning from two other types of meaning, and offers a typology of different types of contexts with which these different meanings resonate. In order to achieve a more satisfactory account of social meaning, however, I argue that we need to connect to a theory of how signs convey meaning. The discussion is relevant for Ancient Greek in its entirety, but focuses specifically on Post-classical Greek: as a case study, I discuss five private letters from the so-called Theophanes archive

Bayesian modelling of an absolute chronology for Egypt's 18th Dynasty by astrophysical and radiocarbon methods

Only a few astrophysical points and synchronisms listed in texts provide anchor points for the absolute chronology of Ancient Egypt. At first we will show how we can re-calculate some of these anchor points by using Sothic dating based on the arcus visionis method, and modelling lunar dates using a Bayesian approach. Then, we will discuss two radiocarbon studies carried out on short-lived Egyptian materials held at the Louvre Museum that could be attributed to particular reigns or other precise periods. Using a Bayesian approach, these dates were combined with the known order of succession and the lengths of reigns. Sothic and lunar dates were integrated as priors in the model. This approach has led to a new proposal for the absolute chronology of Egypt's 18th Dynasty

Cultural evolution in Vietnam’s early 20th century: a Bayesian networks analysis of Franco-Chinese house designs

The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city’s architecture in the early 20th century. With a focus on the façade design of 68 old houses in Hanoi’s Old Quarter (based on 78 data lines extracted from 248 photos), the study argues that it is plausible to look at the aesthetics, architecture, and designs of the house façade to find traces of cultural evolution in Vietnam, which went through more than six decades of French colonization and centuries of sociocultural influence from China. The in-depth technical analysis, though refuting the presumed model on the probabilistic dependency among the variables, yields several results, the most notable of which is the strong influence of Buddhism over the decorations of the house façade. Particularly, in the top 5 networks with the best Bayesian Information Criterion (BIC) scores and p\u3c0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular

Naturalism and wonder: Peirce on the logic of Hume’s argument against miracles

How should we proceed when confronted with a phenomenon (or evidence which points towards a phenomenon) which baffles us? The term "miracle" is a convenient term on which to hang this question. It has a religious meaning, and the arguments I will be discussing are applicable to the case of deciding, for example, whether to believe in the Judaeo-Christian God, based on the reports of miracles offered by the Bible. However, one can generalise from this case to deeper issues about our attitude to the apparently inexplicable. By the apparently inexplicable I mean that which contradicts our most well-confirmed beliefs. This general question is the theme of this paper

Situating language register across the ages, languages, modalities, and cultural aspects: Evidence from complementary methods

In the present review paper by members of the collaborative research center “Register: Language Users' Knowledge of Situational-Functional Variation” (CRC 1412), we assess the pervasiveness of register phenomena across different time periods, languages, modalities, and cultures. We define “register” as recurring variation in language use depending on the function of language and on the social situation. Informed by rich data, we aim to better understand and model the knowledge involved in situation- and function-based use of language register. In order to achieve this goal, we are using complementary methods and measures. In the review, we start by clarifying the concept of “register”, by reviewing the state of the art, and by setting out our methods and modeling goals. Against this background, we discuss three key challenges, two at the methodological level and one at the theoretical level: (1) To better uncover registers in text and spoken corpora, we propose changes to established analytical approaches. (2) To tease apart between-subject variability from the linguistic variability at issue (intra-individual situation-based register variability), we use within-subject designs and the modeling of individuals' social, language, and educational background. (3) We highlight a gap in cognitive modeling, viz. modeling the mental representations of register (processing), and present our first attempts at filling this gap. We argue that the targeted use of multiple complementary methods and measures supports investigating the pervasiveness of register phenomena and yields comprehensive insights into the cross-methodological robustness of register-related language variability. These comprehensive insights in turn provide a solid foundation for associated cognitive modeling.Peer Reviewe