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Ultraconserved words point to deep language ancestry across Eurasia
The search for ever deeper relationships among the Worldās languages is bedeviled by the fact that most words evolve too rapidly to preserve evidence of their ancestry beyond 5,000 to 9,000 y. On the other hand, quantitative modeling indicates that some āultraconservedā words exist that might be used to find evidence for deep linguistic relationships beyond that time barrier. Here we use a statistical model, which takes into account the frequency with which words are used in common everyday speech, to predict the existence of a set of such highly conserved words among seven language families of Eurasia postulated to form a linguistic superfamily that evolved from a common ancestor around 15,000 y ago. We derive a dated phylogenetic tree of this proposed superfamily with a time-depth of ā¼14,450 y, implying that some frequently used words have been retained in related forms since the end of the last ice age. Words used more than once per 1,000 in everyday speech were 7- to 10-times more likely to show deep ancestry on this tree. Our results suggest a remarkable fidelity in the transmission of some words and give theoretical justification to the search for features of language that might be preserved across wide spans of time and geography
Biblical wilderness--midbar, arabah and eremos
Words translated as "wilderness" occur nearly 300 times in the Bible. A formative Hebrew memory is the years of "wandering in the wilderness," mixing experience of wild landscape, of searching for a promised land, and of encounter with God. There is a psychology as well as a geography of wilderness, a theology gained in the wilderness. Jesus is baptized by John and then is driven by the Spirit into the wilderness for forty days. The Devil is there, but so is the Spirit. This records a search for solitude, for self-discovery, for divine presence, but the natural environment is the needed ambiance
The Emerging Presence of Mexican Law in California Courts
In a quick search for cases involving foreign law that have been decided by California courts over the last two years, the results were not surprising: 100 cases were governed by Mexican law, 57 by Canadian law, 29 by Japanese law, 28 by German law, and 12 by Chinese law. I would like to pose two ideas before this learned audience: first, that becoming familiar with foreign law is a practical, intriguing and beneficial exercise for California judges and for American judges at large. And second, that Mexican law represents an emerging and a very large component of foreign law within our State and at the domestic level. Three simple words give the foundation to the idea that Mexican law is turning into the most prominent foreign law area in our State and in our country. These words are: 1) Geography; 2) People; and 3) Wealth
Rule-Based Natural Language Processing in Volcanic Ash Data Searching System
Indonesia is a country with a unique geography. The confluence of three tectonic plates located in the country results in frequent natural disasters, from earthquakes to volcanic activity. BMKG is a monitoring agency tasked with providing information related to these natural disasters. However, one type of natural disaster data, the SIGMET data (Significant Meteorological Information) used to provide information on volcanic ash, has a complicated format that is difficult for ordinary people to understand. Therefore, this research seeks to make finding information related to volcanic ash and volcanic eruptions in Indonesia easier in terms of access and comprehension. In this research, an application design will be carried out that can search SIGMET data by implementing natural language processing with a production rule base. The research results have an accuracy rate of 84% using 25 test sample sentences that combine sentences and words contained in the important words section
Methodologies for the Automatic Location of Academic and Educational Texts on the Internet
Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as āappropriateā to a given database, a problem only solved by complex text content analysis.
This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined
Methodologies for the Automatic Location of Academic and Educational Texts on the Internet
Traditionally online databases of web resources have been compiled by a human editor, or though the submissions of authors or interested parties. Considerable resources are needed to maintain a constant level of input and relevance in the face of increasing material quantity and quality, and much of what is in databases is of an ephemeral nature. These pressures dictate that many databases stagnate after an initial period of enthusiastic data entry. The solution to this problem would seem to be the automatic harvesting of resources, however, this process necessitates the automatic classification of resources as āappropriateā to a given database, a problem only solved by complex text content analysis.
This paper outlines the component methodologies necessary to construct such an automated harvesting system, including a number of novel approaches. In particular this paper looks at the specific problems of automatically identifying academic research work and Higher Education pedagogic materials. Where appropriate, experimental data is presented from searches in the field of Geography as well as the Earth and Environmental Sciences. In addition, appropriate software is reviewed where it exists, and future directions are outlined
Emerging Search Regimes: Measuring Co-evolutions among Research, Science, and Society
Scientometric data is used to investigate empirically the emergence of search
regimes in Biotechnology, Genomics, and Nanotechnology. Complex regimes can
emerge when three independent sources of variance interact. In our model,
researchers can be considered as the nodes that carry the science system.
Research is geographically situated with site-specific skills, tacit knowledge
and infrastructures. Second, the emergent science level refers to the formal
communication of codified knowledge published in journals. Third, the
socio-economic dynamics indicate the ways in which knowledge production relates
to society. Although Biotechnology, Genomics, and Nanotechnology can all be
characterised by rapid growth and divergent dynamics, the regimes differ in
terms of self-organization among these three sources of variance. The scope of
opportunities for researchers to contribute within the constraints of the
existing body of knowledge are different in each field. Furthermore, the
relevance of the context of application contributes to the knowledge dynamics
to various degrees
'No news today': talk of witnessing with families of missing people
The paper contributes new ways of thinking about and responding to interview talk in the context of recent scholarship on interviewing, orality and witnessing. We proceed by paying attention to specific examples of interview talk on the experience of absence via the collecting of narratives from families of missing people. We highlight how ambiguous emotions are bound up with broader ways of recognizing such talk, largely exercised here as reflections on what is involved in witnessing those who are missing in communications with police. Tensions that may be produced by official ways of regarding and responding to family character witness of the missing are discussed in the context of two case studies. In response to these tensions, we offer suggestions for finding different spaces through which to value such āwitness talkā by families, particularly via ideas from grief scholarship. The paper concludes by briefly reflecting on how interviewing encounters might produce versions of praxis in which the content of talk is not just, and simply, āapprehendedā as academic evidence
City networks in cyberspace and time : using Google hyperlinks to measure global economic and environmental crises
Geographers and social scientists have long been interested in ranking and classifying the cities of the world. The cutting edge of this research is characterized by a recognition of the crucial
importance of information and, specifically, ICTs to citiesā positions in the current Knowledge Economy. This chapter builds on recent ācyberspaceā analyses of the global urban system by arguing for, and demonstrating empirically, the value of Web search engine data as a means of understanding cities as situated within, and constituted by, flows of digital information. To this end, we show how the Google search engine can be used to specify a dynamic, informational
classification of North American cities based on both the production and the consumption of Web information about two prominent current issues global in scope: the global financial crisis, and global climate change
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