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Digital Humanities

Introduction
 
Intention

When in late 2022 the idea arose to create a website dedicated to Armenian Humanities Digital (AHD) Technologies, which would a) identify the field of ADH and its goals, and b) summarize the state of the Armenian ADH and its future, it was seen as a platform for discussing ADH developments and achievements, the output of which would be the development of ADH curricula, the guidance and support of scientific research, and the publication of the results in the form of [text]books, articles, blogs, videos, interactive web applications, etc.

[Note: Sometimes the term ADH is used instead of ADH. Calling it sciences is perhaps not correct, since IT is a subset of IT, not a [unique] collection of scientific theories and methods.]

The goal has not changed, the platform has been built, but it does not work.

 
Reflections

It turned out that there is no interest in all this in Armenia, in particular, there are no theoretical linguists. Linguistics is considered a humanitarian science, the scope, the boundary of which is Armenology. In general, humanitarian specialists are predominantly (exceptionally?) Armenologists. For example, are there any Armenian historians who have done serious research on any period in the history of science... or are there any philosophers who have written valuable articles in the field of philosophy of science, language, biology, mathematics, or AI and, in general, technology... or philologists who have studied South American Spanish-language and Portuguese literature, compared them, analyzed them... or compared European and Hollywood directors and actors, ignoring their Armenian, Russian, or Georgian roots.

It is an exaggeration, of course, but not too far from reality.

Thus, before building the platform, it was necessary to prepare the participants and spectators (audience) of the performance.

 
Results

Since the study of language and speech is both the basis and the subject of mathematical, natural and humanistic sciences, the site naturally became a resource for theoretical and computational linguistics. It can be considered as a repository of linguistic information, which one bright morning will be transformed and transformed into a platform for collaboration.

The very first pages of the site - Humanities Digital Science and Technologies websites (from which the Linguistics, Natural Speech Processing, Artificial Intelligence pages spawn - see site map below) outlined the boundaries and current state of the field of DH. It was assumed that these two pages contain enough information to provoke debate and discussion about the prospects and possibilities of the development of the field and to arouse interest in building a computer model of natural language based on the On Syntactic Structure Representation (or, for example, on Universal Dependencies). This model was intended as a scientific and technological basis for the application of the Linguist's Workshop, outlined in the book about a variant of the General Representation of Natural Language. The latter will allow linguists to study (and also teach) language using the means of computational science and computer technology, just as physicists use the MGB or JWST for their problems.

 
Hope

Another goal is to create a lab for Computational Linguistics studies and learning - a Center for Computational Linguistics, where, based on modern understanding of language and linguistics (see the What is Language? page), students and scientists, whoi are working with and on improving the Linguist's Workbench and the NLP, will perform term or scientific research and write articles, manuals. I am deeply convinced that the quality of such work increases dramatically in an environment where knowledge is immediately applied and produced. From this perspective, it is a Learning and Development Center.

There must be 10-15 young people in Armenia who are inclined to think mathematically about linguistics and linguistically about mathematics. Let these young people (and adults alike) know about the website, ask them to visit it. The search is ongoing, but no success has been recorded yet.

 
Disclosure

Members of the website receive a monthly email about the news.

 
Additional explanations
 
Worldview

Biological objects, including humans, arose in reality and exist according to natural laws. During development, evolution, some biological beings have a nervous system, which in the current stage of development has been formed as a human brain, during the operation of which people are conscious. No one knows what consciousness is (but very few are aware of this fact). But for our problems, it is enough to know that we are conscious and that our consciousness

ਵੱਡਾ ਕਰੋ మీ ఆనందం, 増加することなく他人的痛苦.

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Հումանիտար Թվանշային գիտություններ (Digital Humanities - in Armenian)

    1. Հումանիտար տեխնոլոգիաների կայքէջեր (List of Digital Humanity technology pages)

    2. Լեզվաբանություն, ևն (Videos, Blogs, etc. on Linguistics and other releted areas - the majority is in English)

    3. Արհեստական Բանականություն (Artificial Intelligence - the majority resources are in English)

    4. Բնական խոսքի մշակում (Mostly Armenian NLP resources and implementations)

    5. Հայոց ՀԹՏ իրացումներ (The Armenian DH resources and implementations review)

    6. Կորպուսային լեզվաբանություն - Corpus Linguistics

    7. Թվանշային գրադարան - Digital Library (design and tooling)

    Natural Language Modeling

    1. On Syntactic Structure Representation

      1. ** Չհրապարակված հատվածներ (Unpublished Chapters)

      2. Connectives in Armenain (language and speech)

    2. Խոսքի նկարագրությունը Համընդհանուր Կախվածություններով (Speech Structure Representation uusing UD)

    3. Տեսական լեզվաբանություն (Theoretical Linguistics - resources, reviews)

    4. Corpus linguistics - an Introduction

      1. Կորպուսային Լեզվաբանություն - Corpus linguistics (in Armenian)

      2. Corpus linguistics (AI)

      3. Tree banks usage in linguistics (AI)

      4. User's Guide to OCR Data Pipeline 

      5. Armenian Speech-to-Text Web Application 

      6. Armenian Parser

    5. ​Linguistic Information Processing System

    6. Ի՞նչ է Հաշվողական Լեզվաբանությունը (What's Computational Linguistics; Keynote, PowerPoint )

  2. What is language?

    1. Reviewing the Thought-Based Linguistics by W. Chife

    2. Դեպի լեզվի զարգացման կենսաբանական տեսություն (Chapter 9 from Lenneberg's book)

    3. Lեզվական էվոլյուցիա (Linguistic Evolution)

    4. Thinking without Words

    5. Pragmatics

    6. Գունային եզրոյթներ - Color terms: Orange is the new Black, but this does not make it a basic color term.

  3. Հաշվողական լեզվաբանության միջբուհական կենտրոն (Computational Linguistics Education Center)

    1. Գանձարան (Thesaurus: functionality and design for digital era)

    2. Լեզվաբանի Աշխատանոց (Linguist's Workbench: how it is different from the Carpenters')

    3. ​Linguistic Information Processing System

  4. Իմաստային պարադոքսներ  (Linguistic Paradoxes)

Pages in English

  1. Machine Learning and Artificial Intelligence

    1. Artificial Intelligence - ML, AI resources

    2. Interviewing ChatGPT

      1. Language basics

      2. Natural Language Processing (NLP)

      3. Corpus linguistics

      4. Armenian Corpora and morphology test

    3. Tree banks usage in linguistics

  2. The Eastern Armenian National Corpus: questions, comments

  3. Reviewing the Thought-Based Linguistics

  4. What is language?

  5. Thinking without Words

  6. On Syntactic Structure Representation

    1. ​Linguistic Information Processing System

    2. Connectives in Armenain​

    3. Running the Armenian Parser - Linux command line Eastern Armenian Parser (spellcheck, tagging)

  7. Character set standardization

    1. Armenian Characters set review

    2. Transliteration-Library of Congress-Armenian

  8. ​Summarizing YouTube Transcript

  9. DH technologies for Armenian

  10. Pragmatics

  11. Discourse Analysis

  12. Terms

  13. Word Games

    1. ​PolyWordlot

    2. PolyWordlot Data Preparation

​​​​

Researching Connectives​

 

Visit site supporting bookstores when in Yerevan` https://www.agoulis.com/

​​

Collaboration

Volunteer help needed to:

  1. Review and compare technologies listed on Բնական խոսքի մշակում page.

  2. Design (UX designer) the site, as well as to edit/create/contribute. I envisioned the ՀԹՏ site as a collaboration platform, rather than a site for promoting my Բնական խոսքի ընդհանրական ներկայացման մի տարբերակի մասին or - other books. Unfortunately, the majority of pages are still write-only. Better UX might help (I know that on mopbile devices the pages are even uglier).

  3. Investigate phases of [Armenian] language produced by neural networks (GPT) and verify if "poverty of input" is applicable to neural nets - for more details see Why GPT is not a language model? section in What is language? and Armenian Corpora and morphology test.

  4. Edit Wikipedia Armenian articles: we can make it a valuable knowledge base for laymen, students, and researches alike for free (no elusive grants needed) by laymen, students, and researches alike. Do you know a forum, a hang out for Armenian Wikipedia activists (enthusiasts)?

  5. Work on introducing generative AI (GPT) into Armenian science and education system - prepare courses to learn AI usage basics, prompt engineering.

  6. Linguists and Software, DevOps, DataOps engineers for developing, supporting, and integrating:

    1. ​Linguistic Information Processing System

    2. The Arm Parser

    3. OCR Data Pipeline

    4. Armenian Speech-to-Text WebApplication

  7. Articles on Discourse Analysis (working titles):

    1. "The Logic of Discourse",

    2. "Relative connectives in Eastern Armenian",

    3. "Eastern Armenian Speech Acts: syntax and semantics".

  8. Five part textbook for University course in Theoretical Linguistics. Let's look for grants from the Government of Third Republic or the House of Medici:

    1. "Philosophy of Language",

    2. Use: "Pragmatics",

    3. Content: "Semantics",

    4. Form: "Syntax", "Morphology", "Phonology",​​

    5. "Computational Linguistics"

  9. Theory and Practice of Discourse Analysis (DA):

    1. Research in theory of DA:

      1. Connectives,

      2. Modality: from grammar to speech acts,

      3. Use AREVAK for the above research.

    2. Evaluate methodologies of DA and design the approach

    3. Use of existing corpora for DA.

  10. Finding or developing technologies for creating Audio Corpora​

    1. Audio-to-IPA conversion (I think this is important for phonology studies and dialect recognition​)

    2. Automatic Interlocutor identification

 

Страницы на русском

  1. Что такое язык?​

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