FIN-CLARIAH Deliverables
<< FIN-CLARIAH Overview
This page showcases the project deliverables (see template and instructions for reporting).
FIN-CLARIAH Funding period 2024-2025
FIN-CLARIAH Funding period 2022-2023 (Completed)
FIN-CLARIAH Funding period 2024-2025
Module 1: Natural Language Processing (NLP)
W1.1 Text processing and annotation environments
W1.2 Speech processing and annotation
W1.3 Video processing and annotation
Module 2: Language Research Infrastructure (LRI)
W2.1 Personal and Copyrighted Research Data
W2.2 Training environments
| D2.2.1 |
Transformer training for specialised data |
2024-12 2025-06 |
| D2.2.2 |
Transformer adaptation for specialised data |
2025-12 |
W2.3 Translation and Interpretation
| D2.3.1 |
Remote access to text data repositories |
2024-12 2025-06 |
| D2.3.2 |
Remote access to video data repositories |
2025-12 |
W2.4 Terminology
Module 3: Structuring Data
W3.1 Data Management
W3.2 Data Ingestion
| D3.2.1 |
Ingestion of structured data from Finna (NLF) |
2025-03 2025-06 |
| D3.2.2 |
Ingestion of heritage and societal data from Sampo |
2025-06 |
| D3.2.3 |
Ingestion of multimodal societal data from the Web |
2025-12 |
W3.3 Enrichment
| D3.3.1 |
Automated metadata of archival data from NARC |
2025-03 2025-06 |
| D3.3.2 |
Automated harmonisation and enrichment of metadata |
2024-12 2025-03 |
| D3.3.3 |
Machine-learning -based enrichment of social media |
2025-06 |
| D3.3.4 |
Computer vision -based enrichment of multimodal data |
2025-09 |
Module 4: Analyzing Structured Data
W4.1 Analytical Support for computational SSH
Module 5: Information Interaction (IIA)
W5.1 Evidence-Based Infrastructure Development
FIN-CLARIAH Funding period 2022-2023
Completed
Module 1: Natural Language Processing (NLP)
W1.1 Text processing and annotation environments
W1.2 Speech processing and annotation
W1.3 Noise-tolerant NLP
Module 2: Language Research Infrastructure
W2.1 Social Data Science
W2.2 Learners’ Assessment Environments
W2.3 Translation and Interpretation
W2.4 Terminology
W2.5 Solutions for better use of language learner performances in research
Module 3: Structuring Data
W3.1 Increasingly automated ingestion of material
W3.2 AI solutions to better use of National Archives mass digitisation services
W3.3 AI solutions to better use of textual qualitative survey data
W3.4 Developing analysis methods for real-time chats in gameplay streams
W3.5 Developing analysis methods for text network analysis of political texts
Module 4: Analyzing Structured Data
W4.1 Metadata harmonization and analysis
W4.2 Linked Open Data Services
W4.3 Subsetting data
Module 5: Information Interaction
W5.1 Evidence-based RI development
W5.2 Education and dissemination
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Last modified on 2025-05-20
