Diachronic Lexical Semantics in Ancient Egyptian–Coptic
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GRAMMAR of SOLRESOL Or the Universal Language of François SUDRE
GRAMMAR OF SOLRESOL or the Universal Language of François SUDRE by BOLESLAS GAJEWSKI, Professor [M. Vincent GAJEWSKI, professor, d. Paris in 1881, is the father of the author of this Grammar. He was for thirty years the president of the Central committee for the study and advancement of Solresol, a committee founded in Paris in 1869 by Madame SUDRE, widow of the Inventor.] [This edition from taken from: Copyright © 1997, Stephen L. Rice, Last update: Nov. 19, 1997 URL: http://www2.polarnet.com/~srice/solresol/sorsoeng.htm Edits in [brackets], as well as chapter headings and formatting by Doug Bigham, 2005, for LIN 312.] I. Introduction II. General concepts of solresol III. Words of one [and two] syllable[s] IV. Suppression of synonyms V. Reversed meanings VI. Important note VII. Word groups VIII. Classification of ideas: 1º simple notes IX. Classification of ideas: 2º repeated notes X. Genders XI. Numbers XII. Parts of speech XIII. Number of words XIV. Separation of homonyms XV. Verbs XVI. Subjunctive XVII. Passive verbs XVIII. Reflexive verbs XIX. Impersonal verbs XX. Interrogation and negation XXI. Syntax XXII. Fasi, sifa XXIII. Partitive XXIV. Different kinds of writing XXV. Different ways of communicating XXVI. Brief extract from the dictionary I. Introduction In all the business of life, people must understand one another. But how is it possible to understand foreigners, when there are around three thousand different languages spoken on earth? For everyone's sake, to facilitate travel and international relations, and to promote the progress of beneficial science, a language is needed that is easy, shared by all peoples, and capable of serving as a means of interpretation in all countries. -
A Pipeline for Computational Historical Linguistics
A Pipeline for Computational Historical Linguistics Lydia Steiner Peter F. Stadler Bioinformatics Group, Interdisciplinary Bioinformatics Group, University of Center for Bioinformatics, University of Leipzig, Interdisciplinary Center for Leipzig ∗ Bioinformatics, University of Leipzig∗; Max-Planck-Institute for Mathematics in the Science; Fraunhofer Institute for Cell Therapy and Immunology; Center for non-coding RNA in Technology and Health, University of Copenhagen; Institute for Theoretical Chemistry, University of Vienna; Santa Fe Institute Michael Cysouw Research unit Quantitative Language Comparison, LMU München ∗∗ There are many parallels between historical linguistics and molecular phylogenetics. In this paper we describe an algorithmic pipeline that mimics, as closely as possible, the traditional workflow of language reconstruction known as the comparative method. The pipeline consists of suitably modified algorithms based on recent research in bioinformatics, that are adapted to the specifics of linguistic data. This approach can alleviate much of the laborious research needed to establish proof of historical relationships between languages. Equally important to our proposal is that each step in the workflow of the comparative method is implemented independently, so language specialists have the possibility to scrutinize intermediate results. We have used our pipeline to investigate two groups of languages, the Tsezic languages from the Caucasus and the Mataco-Guaicuruan languages from South America, based on the lexical data from the Intercontinental Dictionary Series (IDS). The results of these tests show that the current approach is a viable and useful extension to historical linguistic research. 1. Introduction Molecular phylogenetics and historical linguistics are both concerned with the recon- struction of evolutionary histories, the former of biological organisms, the latter of human languages. -
Swadesh Lists Are Not Long Enough: Drawing Phonological Generalizations from Limited Data
Language Documentation and Description ISSN 1740-6234 ___________________________________________ This article appears in: Language Documentation and Description, vol 16. Editor: Peter K. Austin Swadesh lists are not long enough: Drawing phonological generalizations from limited data RIKKER DOCKUM & CLAIRE BOWERN Cite this article: Rikker Dockum & Claire Bowern (2018). Swadesh lists are not long enough: Drawing phonological generalizations from limited data. In Peter K. Austin (ed.) Language Documentation and Description, vol 16. London: EL Publishing. pp. 35-54 Link to this article: http://www.elpublishing.org/PID/168 This electronic version first published: August 2019 __________________________________________________ This article is published under a Creative Commons License CC-BY-NC (Attribution-NonCommercial). The licence permits users to use, reproduce, disseminate or display the article provided that the author is attributed as the original creator and that the reuse is restricted to non-commercial purposes i.e. research or educational use. See http://creativecommons.org/licenses/by-nc/4.0/ ______________________________________________________ EL Publishing For more EL Publishing articles and services: Website: http://www.elpublishing.org Submissions: http://www.elpublishing.org/submissions Swadesh lists are not long enough: Drawing phonological generalizations from limited data Rikker Dockum and Claire Bowern Yale University Abstract This paper presents the results of experiments on the minimally sufficient wordlist size for drawing phonological generalizations about languages. Given a limited lexicon for an under-documented language, are conclusions that can be drawn from those data representative of the language as a whole? Linguistics necessarily involves generalizing from limited data, as documentation can never completely capture the full complexity of a linguistic system. We performed a series of sampling experiments on 36 Australian languages in the Chirila database (Bowern 2016) with lexicons ranging from 2,000 to 10,000 items. -
Northwest Caucasian Languages and Hattic
Kafkasya Calışmaları - Sosyal Bilimler Dergisi / Journal of Caucasian Studies Kasım 2020 / November 2020, Yıl / Vol. 6, № 11 ISSN 2149–9527 E-ISSN 2149-9101 Northwest Caucasian Languages and Hattic Ayla Bozkurt Applebaum* Abstract The relationships among five Northwest Caucasian languages and Hattic were investigated. A list of 193 core vocabulary words was constructed and examined to find look-alike words. Data for Abhkaz, Abaza, Kabardian (East Circassian), Adyghe (West Circassian) and Ubykh drew on the work of Starostin, Chirikba and Kuipers. A sub-set list of 15 look-alike words for Hattic was constructed from Soysal (2003). These lists were formulated as character data for reconstructing the phylogenetic relationships of the languages. The phylogenetic relationships of these languages were investigated by a well-known method, Neighbor Joining, as implemented in PAUP* 4.0. Supporting and dissenting evidence from human genetic population studies and archeological evidence were discussed. This project has produced a provisional set of character data for the Northwest Caucasian languages and, to a limited extent, Hattic. Phylogenetic trees have been generated and displayed to show their general character and the types of differences obtained by alternate methods. This research is a basis for further inquiries into the development of the Caucasian languages. Moreover, it presents an example of the method for contrast queries application in studying the evolution of language families. Keywords: Northwest Caucasian Languages, Hattic, Historical Linguistics, Circassian, Adyghe, Kabardian * Ayla Bozkurt Applebaum, ORCID 0000-0003-4866-4407, E-mail: [email protected] (Received/Gönderim: 15.10.2020; Accepted/Kabul: 28.11.2020) 63 Ayla Bozkurt Applebaum Kuzeybatı Kafkas Dilleri ve Hattice Özet Bu araştırma beş Kuzeybatı Kafkas Dilleri ve Hatik arasındaki ilişkiyi incelemektedir. -
Exploring the Corresponding Words Among the Subgroupings, Revising Swadesh List, Compared with Chinese
International Journal of Language and Linguistics 2019; 7(3): 110-118 http://www.sciencepublishinggroup.com/j/ijll doi: 10.11648/j.ijll.20190703.13 ISSN: 2330-0205 (Print); ISSN: 2330-0221 (Online) Exploring the Corresponding Words Among the Subgroupings, Revising Swadesh List, Compared with Chinese Ke Luo Beijing Institute of Spacecraft Environment Engineering, Beijing, China Email address: To cite this article: Ke Luo. Exploring the Corresponding Words Among the Subgroupings, Revising Swadesh List, Compared with Chinese. International Journal of Language and Linguistics . Vol. 7, No. 3, 2019, pp. 110-118. doi: 10.11648/j.ijll.20190703.13 Received : March 2, 2019; Accepted : April 29, 2019; Published : May 31, 2019 Abstract: In 1647, the Dutch linguist Marcus Zuerius van Boxhorn noted the similarity among certain Asian and European languages and first theorized that they were derived from a primitive common language which he called Scythian (proto-language). For hundreds of years, many scholars have been studying the cognate of the subgroupings of Indo-European languages. This paper with the Swadesh list compares several subgroupings of Indo-European languages and finds out that their cognate correspondence is closer. It is inferred that the Proto-Indo-European was a language with very rich vocabulary and should be contained independently in the subgroupings at the beginning of its dissemination. This paper proposes a revised Swadesh list which can be used to assess language homology degree in high or low, and compares English with Chinese. The result shows that Chinese and English have the same origin. Keywords: Indo-European Languages, Swadesh List, English, Chinese, Cognate conclusion. -
Ancestral Dravidian Languages in Indus Civilization
ARTICLE https://doi.org/10.1057/s41599-021-00868-w OPEN Ancestral Dravidian languages in Indus Civilization: ultraconserved Dravidian tooth-word reveals deep linguistic ancestry and supports genetics ✉ Bahata Ansumali Mukhopadhyay 1 Ever since the discovery of Indus valley civilization, scholars have debated the linguistic identities of its people. This study analyzes numerous archaeological, linguistic, archae- 1234567890():,; ogenetic and historical evidences to claim that the words used for elephant (like, ‘pīri’, ‘pīru’) in Bronze Age Mesopotamia, the elephant-word used in the Hurrian part of an Amarna letter of ca. 1400 BC, and the ivory-word (‘pîruš’) recorded in certain sixth century BC Old Persian documents, were all originally borrowed from ‘pīlu’, a Proto-Dravidian elephant-word, which was prevalent in the Indus valley civilization, and was etymologically related to the Proto- Dravidian tooth-word ‘*pal’ and its alternate forms (‘*pīl’/‘*piḷ’/‘*pel’). This paper argues that there is sufficient morphophonemic evidence of an ancient Dravidian ‘*piḷ’/‘*pīl’-based root, which meant ‘splitting/crushing’, and was semantically related to the meanings ‘tooth/tusk’. This paper further observes that ‘pīlu’ is among the most ancient and common phytonyms of the toothbrush tree Salvadora persica, which is a characteristic flora of Indus valley, and whose roots and twigs have been widely used as toothbrush in IVC regions since antiquity. This study claims that this phytonym ‘pīlu’ had also originated from the same Proto-Dravidian tooth-word, and argues that since IVC people had named their toothbrush trees and tuskers (elephants) using a Proto-Dravidian tooth-word, and since these names were widely used across IVC regions, a significant population of Indus valley civilization must have used that Proto-Dravidian tooth-word in their daily communication. -
Towards a History of Concept List Compilation in Historical Linguistics
Towards a history of concept list compilation in historical linguistics Johann-Mattis List Max Planck Institute for the Science of Human History, Jena A large proportion of lexical data of the world’s languages is presented in form of word lists in which a set of concepts was translated into the language varieties of a specific language family or geographic region. The basis of these word lists are concept lists, that is, questionnaires of comparative concepts (in the sense of Haspelmath 2010), which scholars used to elicit the respective translations in their field work. Thus, a concept list is in the end not much more than a bunch of elicitation glosses, often (but not necessarily) based on English as an elicitation language, and a typical concept list may look like the following one, quoted from Swadesh (1950: 161): I, thou, he, we, ye, one, two, three, four, five, six, seven, eight, nine, ten, hundred, all, animal, ashes, back, bad, bark, belly, big, […] this, tongue, tooth, tree, warm, water, what, where, white, who, wife, wind, woman, year, yellow. But scholars may also present their concept list in tabular form, adding additional information in additional columns, numbering and ranking items, providing exemplary translations into other languages, or marking specific items as obsolete. The compilation of concept lists for the purpose of historical language comparison has a long tradition in historical linguistics, dating back at least to the 18th century (Leibniz 1768, Pallas 1786), if not even earlier (see Kaplan 2017). But concept lists were not solely compiled for the purpose of historical language comparison. -
Proof of the Algonquian-Wakashan Relationship
Sergei L. Nikolaev Institute of Slavic studies of the Russian Academy of Sciences (Moscow/Novosibirsk); [email protected] Toward the reconstruction of Proto-Algonquian-Wakashan. Part 1: Proof of the Algonquian-Wakashan relationship The first part of the present study, following a general introduction (§ 1), presents a classifi- cation and approximate glottochronological dating for the Algonquian-Wakashan languages (§ 2), a preliminary discussion of regular sound correspondences between Proto-Wakashan, Proto-Nivkh, and Proto-Algic (§ 3), and an analysis of the Algonquian-Wakashan “basic lexi- con” (§ 4). The main novelty of the present article is in its attempt at formal demonstration of a genetic relationship between the Nivkh, Algic, and Wakashan languages, arrived at by means of the standard comparative method, i. e. establishing a system of regular sound cor- respondences between the vocabularies of the compared languages. Proto-Salishan is con- sidered as a remote relative of Proto-Algonquian-Wakashan; at the same time, no close (“Mosan”) relationship between Wakashan and Salish has been traced. Additionally, lexical correspondences between Proto-Chukchi-Kamchatkan, Proto-Algonquian-Wakashan, and Proto-Salishan are also reviewed. The conclusion is that no genetic relationship exists be- tween Chukchi-Kamchatkan, on the one hand, and Algonquian-Wakashan, languages (Nivkh included), on the other hand. Instead, it seems more likely that Proto-Chukchi-Kamchatkan has borrowed words from Wakashan, Salishan, and Algic (but probably not vice versa; § 5). The Algonquian-Wakashan, Salishan and Chukchi-Kamchatkan common cultural lexicon is also examined, resulting in the identification of numerous “cultural” loans from Wakashan and Salish into Proto-Chukchi-Kamchatkan. Borrowing from Salishan into Proto-Nivkh was far less intensive, as there are no reliable Nivkh-Wakashan contact words. -
Multilingual Dictionary Based Construction of Core Vocabulary
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 4211–4217 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC Multilingual Dictionary-Based Construction of Core Vocabulary Winston Wu, Garrett Nicolai, David Yarowsky Center for Language and Speech Processing Johns Hopkins University (wswu, gnicola2, yarowsky)@jhu.edu Abstract We propose a new functional definition and construction method for core vocabulary sets for multiple applications based on the relative coverage of a target concept in thousands of bilingual dictionaries. Our newly developed core concept vocabulary list derived from these dictionary consensus methods achieves high overlap with existing widely utilized core vocabulary lists targeted at applications such as first and second language learning or field linguistics. Our in-depth analysis illustrates multiple desirable properties of our newly proposed core vocabulary set, including their non-compositionality. We employ a cognate prediction method to recover missing coverage of this core vocabulary in massively multilingual dictionary construction, and we argue that this core vocabulary should be prioritized for elicitation when creating new dictionaries for low-resource languages for multiple downstream tasks including machine translation and language learning. Keywords: core vocabulary, Swadesh list, multilingual dictionaries 1. Introduction 1825 Dictionaries are available for most of the world’s lan- 1800 guages, but coverage can be sparse for those with fewer 1775 resources. In sparse dictionaries, many entries are core 1750 vocabulary words from lists such as the Swadesh list 1725 (Swadesh, 1952; Swadesh, 1955), probably the most well- # of dictionaries known formulation of a core vocabulary containing around 1700 100–200 words, depending on the version. -
An Algorithm for Building Language Superfamilies Using Swadesh Lists
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Computer Science and Engineering: Theses, Computer Science and Engineering, Department Dissertations, and Student Research of Spring 4-23-2020 An Algorithm For Building Language Superfamilies Using Swadesh Lists Bill Mutabazi University of Nebraska - Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/computerscidiss Part of the Computer Engineering Commons, and the Computer Sciences Commons Mutabazi, Bill, "An Algorithm For Building Language Superfamilies Using Swadesh Lists" (2020). Computer Science and Engineering: Theses, Dissertations, and Student Research. 191. https://digitalcommons.unl.edu/computerscidiss/191 This Article is brought to you for free and open access by the Computer Science and Engineering, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Computer Science and Engineering: Theses, Dissertations, and Student Research by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. AN ALGORITHM FOR BUILDING LANGUAGE SUPERFAMILES USING SWADESH LISTS By Bill Jean Claudien Mutabazi A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfilment of Requirements For the Degree of Master of Science Major: Computer Science Under the Supervision of Professor Peter Revesz Lincoln, Nebraska May 2020 AN ALGORITHM FOR BUILDING LANGUAGE SUPERFAMILES USING SWADESH LIST Bill Jean Claudien Mutabazi, M.S. University of Nebraska, 2020 Adviser: Peter Revesz To make sense of language originality and their evolution over the years is a daunting task. Most of scientific studies had been based on an asymmetric study of word convergence between different languages, borrowing words and common origin word meanings to define their linguistic family classification. -
Lexical Matches Between Sumerian and Hurro-Urartian: Possible Historical Scenarios
Cuneiform Digital Library Journal 2014:4 <http://www.cdli.ucla.edu/pubs/cdlj/2014/cdlj2014_4.html> © Cuneiform Digital Library Initiative ISSN 1540-8779 Version: 3 December 2014 Lexical Matches between Sumerian and Hurro-Urartian: Possible Historical Scenarios Alexei Kassian Institute of Linguistics of the Russian Academy of Sciences, Moscow Th e paper deals with lexical matches between two ancient Near Eastern languages: Sumerian and Hurrian (Hurro-Urartian); namely, several basic terms (like ‘hand,’ ‘rain,’ etc.), that demonstrate phonetical similarities in both languages, are discussed. Four possible scenarios are evaluated from the typological, etymological and statistical points of view: (1) chance coincidences; (2) lexi- cal borrowings from Sumerian into Hurro-Urartian or vice versa; (3) genetic relationship between Sumerian and Hurro-Urartian; (4) prehistoric language shift : adoption by a Hurro-Urartian (or closely related) group of the Sumerian language or vice versa. Out of these four, two scenarios—lexical borrowings and genetic relationship—are typologically unlikely. Th e statistical probability of chance coincidences is low, although formally this explanation cannot be excluded. Th e fourth scenario—language shift —fi ts linguistic evidence and does not contradict archaeological data. Keywords: Hurrian, Sumerian, Ancient Near East, language contacts, language shift , loanwords, lexicostatistics §1. Introduction a language of the Urartian empire (present-day Armenia §1.1. Th e languages and neighboring areas).2 For the preliterate period, it is §1.1.1. Sumerian is a language spoken in southern Mes- natural to associate the HU people with the Kura-Araxes opotamia (modern Iraq). Its earliest cuneiform attesta- (Early Trans-Caucasian) archaeological culture (Kassian tions date from the late 4th or early 3rd millennium BC, 2010: 423-428 with further references). -
Towards Establishing a New Basic Vocabulary List (Swadesh List) (Version 2) Carsten Peust, 2013
Towards establishing a new basic vocabulary list (Swadesh list) (Version 2) Carsten Peust, 2013 Abstract Basic vocabulary lists are an important tool in comparative and historical linguistics. They provide the base for estimating the time depth of language families by the technique of glottochronology1 or by other statistical methods.2 The lists are composed of vocabulary that is intended to be as stable as possible diachronically. Several such lists have been proposed, the most famous ones being those by Morris Swadesh.3 Swadesh did not elaborate on how and why he made exactly this selection of words.4 Swadesh’s original lists have not convinced everyone, so that various modifications of his lists were proposed by others.5 Also for all of the modified lists, the choice of items has either not been justified at all or can be criticized for methodological reasons. I am proposing here a methodology as well as (limited) empirical data for ranking meanings according to their diachronic stability, in order to construct a revised basic vocabulary list. As a result, I arrive at a list of 54 items at the end of this paper. More empirical data can and should be added in the future in order to further improve on the list. Lexical stability A basic vocabulary list is defined by a set of meanings in a meta-language (such as English). Based on this template list, corresponding lists can be established for any language by translating each meaning into the target language. In the translation, according to Swadesh, the most frequent and most basic or general term of the target language must be chosen.