The Digital Classicist Wiki - User contributions [en-gb]

CALLIDUS

2025-09-11T09:06:21Z

KonstantinSchulz: fix abbreviation

[[category:projects]]
[[category:tools]]

== Vocabulary Acquisition in Latin using Corpus-based Methods ==

[https://korpling.org/mc Project Website]

There is hardly any empirical research on lexicon acquisition in Latin classes, although the vocabulary is more didactic and methodical perspective has been repeatedly addressed for many years. Consequently, the interdisciplinary, DFG-funded research project CALLIDUS is not only unique in its design (time, scope, interdisciplinarity), but above all extremely challenging, because findings from very different sub-areas have to be theory-driven and application-oriented at the same time in order to improve the acquisition of lexicons in Latin teaching. A central question of the Callidus project is whether the approach of data driven language learning represented in second and foreign language research can be transferred to a historical language such as Latin. According to this theory, vocabulary acquisition is supported by the fact that tasks or exercises are generated from a corpus of authentic language utterances in order to enable the learner to learn immersively, i.e. completely immersed in the language, using the example. These 'real' linguistic actions - be it literature or a communicative everyday situation - are intended to provide the learner with the necessary context to grasp vocabulary in its variability and complexity. Starting from a sufficiently large corpus that is highly likely to offer different formal and functional aspects of a word or phrase, the learner can be provided with linguistic exercises and sample applications that illustrate the multidimensionality of a word or phrase. This corpus-based vocabulary work thus aims at a reflected, intralingual linguistic action as well as a more complex vocabulary knowledge, as a result of which the vocabulary can be better networked in the so-called mental lexicon. However, there is little empirical evidence to date on the usefulness of this approach, nor are there any theory-based methodological considerations on how to implement it in a teaching unit, i.e. how to construct the exercise and work instruction, in order to initiate the desired vocabulary learning. Accordingly, the CALLIDUS project is not only entering largely unknown territory from a late didactic perspective, but also from a corpus linguistic perspective.

Daidalos Research Infrastructure

2025-07-10T12:07:15Z

KonstantinSchulz: add categories

[[category:projects]]
[[category:tools]]

== Development of an infrastructure for the use of natural language processing (NLP) for researchers in classical philology ==

[https://daidalos-projekt.de Project Website]

The DFG project Daidalos (Humboldt University Berlin, 2023-2026) is building a research infrastructure for methods of natural language processing (NLP). The target group is literary researchers in classical philology and related disciplines. The research infrastructure consists, on the one hand, of an interactive internet platform on which interested parties can apply NLP methods to text corpora. On the other hand, the Daidalos project sees itself as a contact point for interested researchers. In this function, the project regularly invites researchers to workshops, advises them within the framework of research tandems and provides materials for further training.

CALLIDUS

2025-07-10T12:07:06Z

KonstantinSchulz: add categories

[[category:projects]]
[[category:tools]]

== Vocabulary Acquisition in Latin using Corpus-based Methods ==

[https://korpling.org/mc Project Website]

There is hardly any empirical research on lexicon acquisition in the LU, although the vocabulary is more didactic and methodical perspective has been repeatedly addressed for many years. Consequently, the interdisciplinary, DFG-funded research project CALLIDUS is not only unique in its design (time, scope, interdisciplinarity), but above all extremely challenging, because findings from very different sub-areas have to be theory-driven and application-oriented at the same time in order to improve the acquisition of lexicons in Latin teaching. A central question of the Callidus project is whether the approach of data driven language learning represented in second and foreign language research can be transferred to a historical language such as Latin. According to this theory, vocabulary acquisition is supported by the fact that tasks or exercises are generated from a corpus of authentic language utterances in order to enable the learner to learn immersively, i.e. completely immersed in the language, using the example. These 'real' linguistic actions - be it literature or a communicative everyday situation - are intended to provide the learner with the necessary context to grasp vocabulary in its variability and complexity. Starting from a sufficiently large corpus that is highly likely to offer different formal and functional aspects of a word or phrase, the learner can be provided with linguistic exercises and sample applications that illustrate the multidimensionality of a word or phrase. This corpus-based vocabulary work thus aims at a reflected, intralingual linguistic action as well as a more complex vocabulary knowledge, as a result of which the vocabulary can be better networked in the so-called mental lexicon. However, there is little empirical evidence to date on the usefulness of this approach, nor are there any theory-based methodological considerations on how to implement it in a teaching unit, i.e. how to construct the exercise and work instruction, in order to initiate the desired vocabulary learning. Accordingly, the CALLIDUS project is not only entering largely unknown territory from a late didactic perspective, but also from a corpus linguistic perspective.

Daidalos Research Infrastructure

2025-04-30T12:20:38Z

KonstantinSchulz: add basic details about the project

== Development of an infrastructure for the use of natural language processing (NLP) for researchers in classical philology ==

[https://daidalos-projekt.de Project Website]

The DFG project Daidalos (Humboldt University Berlin, 2023-2026) is building a research infrastructure for methods of natural language processing (NLP). The target group is literary researchers in classical philology and related disciplines. The research infrastructure consists, on the one hand, of an interactive internet platform on which interested parties can apply NLP methods to text corpora. On the other hand, the Daidalos project sees itself as a contact point for interested researchers. In this function, the project regularly invites researchers to workshops, advises them within the framework of research tandems and provides materials for further training.

Daidalos Research Infrastructure

2025-04-30T10:59:25Z

KonstantinSchulz: Created page with "== Development of an infrastructure for the use of natural language processing (NLP) for researchers in classical philology =="

== Development of an infrastructure for the use of natural language processing (NLP) for researchers in classical philology ==

CALLIDUS

2025-04-30T10:48:26Z

KonstantinSchulz:

[[category:projects]]

== Vocabulary Acquisition in Latin using Corpus-based Methods ==

[https://korpling.org/mc Project Website]

There is hardly any empirical research on lexicon acquisition in the LU, although the vocabulary is more didactic and methodical perspective has been repeatedly addressed for many years. Consequently, the interdisciplinary, DFG-funded research project CALLIDUS is not only unique in its design (time, scope, interdisciplinarity), but above all extremely challenging, because findings from very different sub-areas have to be theory-driven and application-oriented at the same time in order to improve the acquisition of lexicons in Latin teaching. A central question of the Callidus project is whether the approach of data driven language learning represented in second and foreign language research can be transferred to a historical language such as Latin. According to this theory, vocabulary acquisition is supported by the fact that tasks or exercises are generated from a corpus of authentic language utterances in order to enable the learner to learn immersively, i.e. completely immersed in the language, using the example. These 'real' linguistic actions - be it literature or a communicative everyday situation - are intended to provide the learner with the necessary context to grasp vocabulary in its variability and complexity. Starting from a sufficiently large corpus that is highly likely to offer different formal and functional aspects of a word or phrase, the learner can be provided with linguistic exercises and sample applications that illustrate the multidimensionality of a word or phrase. This corpus-based vocabulary work thus aims at a reflected, intralingual linguistic action as well as a more complex vocabulary knowledge, as a result of which the vocabulary can be better networked in the so-called mental lexicon. However, there is little empirical evidence to date on the usefulness of this approach, nor are there any theory-based methodological considerations on how to implement it in a teaching unit, i.e. how to construct the exercise and work instruction, in order to initiate the desired vocabulary learning. Accordingly, the CALLIDUS project is not only entering largely unknown territory from a late didactic perspective, but also from a corpus linguistic perspective.

CALLIDUS

2025-04-30T10:47:23Z

KonstantinSchulz: add basic information about the project

[[category:projects]]

== CALLIDUS - Vocabulary Acquisition in Latin using Corpus-based Methods ==

[https://korpling.org/mc Project Website]

There is hardly any empirical research on lexicon acquisition in the LU, although the vocabulary is more didactic and methodical perspective has been repeatedly addressed for many years. Consequently, the interdisciplinary, DFG-funded research project CALLIDUS is not only unique in its design (time, scope, interdisciplinarity), but above all extremely challenging, because findings from very different sub-areas have to be theory-driven and application-oriented at the same time in order to improve the acquisition of lexicons in Latin teaching. A central question of the Callidus project is whether the approach of data driven language learning represented in second and foreign language research can be transferred to a historical language such as Latin. According to this theory, vocabulary acquisition is supported by the fact that tasks or exercises are generated from a corpus of authentic language utterances in order to enable the learner to learn immersively, i.e. completely immersed in the language, using the example. These 'real' linguistic actions - be it literature or a communicative everyday situation - are intended to provide the learner with the necessary context to grasp vocabulary in its variability and complexity. Starting from a sufficiently large corpus that is highly likely to offer different formal and functional aspects of a word or phrase, the learner can be provided with linguistic exercises and sample applications that illustrate the multidimensionality of a word or phrase. This corpus-based vocabulary work thus aims at a reflected, intralingual linguistic action as well as a more complex vocabulary knowledge, as a result of which the vocabulary can be better networked in the so-called mental lexicon. However, there is little empirical evidence to date on the usefulness of this approach, nor are there any theory-based methodological considerations on how to implement it in a teaching unit, i.e. how to construct the exercise and work instruction, in order to initiate the desired vocabulary learning. Accordingly, the CALLIDUS project is not only entering largely unknown territory from a late didactic perspective, but also from a corpus linguistic perspective.

User:KonstantinSchulz

2025-04-30T09:59:51Z

KonstantinSchulz: add bio

Konstantin Schulz is a PhD student and researcher of the corpus linguistics working group at Humboldt University Berlin (Germany).

His research interests are mainly focused on natural language processing (NLP) for Latin and Ancient Greek, especially distributional semantics and artificial intelligence. He is currently working as NLP specialist for the [https://daidalos-projekt.de/ Daidalos research project]. Previously, he worked on computer-assisted language learning for Latin in the [https://korpling.org/mc CALLIDUS research project], and on various AI applications at the [https://dfki.de/web German Research Center for Artificial Intelligence].

Contact: schulzkx [at<nowiki>]</nowiki> hu-berlin.de

[https://www.linguistik.hu-berlin.de/en/institut-en/professuren-en/korpuslinguistik/mitarbeiter-innen-en/konstantin-schulz/konstantin-schulz Konstantin Schulz' academic website]