FIN-CLARIAH Deliverables
<< FIN-CLARIAH Overview
This page will showcase the project deliverables in 2022-2023 (see template and instructions for reporting).
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
| D3.2.1 |
Pipeline for transferring archival data |
2022-12 2023-06 |
| D3.2.2 |
Annotation tools for NARC data |
2023-12 |
W3.3 AI solutions to better use of textual qualitative survey data
W3.4 Developing analysis methods for real-time chats in gameplay streams
| D3.4.1 |
Audio-visual and textual interaction analysis |
2022-12 |
W3.5 Developing analysis methods for text network analysis of political texts
| D3.5.1 |
TNA-based analysis of text |
2022-12 2023-06 |
| D3.5.2 |
TNA network of Parliamentary debates |
2023-09 |
Module 4: Analyzing Structured Data
W4.1 Metadata harmonization and analysis
W4.2 Linked Open Data Services
W4.3 Subsetting data
| D4.3.1 |
Subsetting tool |
2022-09 |
| D4.3.2 |
Statistical overviews and bias detection |
2023-06 |
| D4.3.3 |
Intelligent noise reduction |
2023-12 |
Module 5: Information Interaction
W5.1 Evidence-based RI development
| D5.1.1 |
User experience questionnaire |
2022-09 |
| D5.1.2 |
Log data collection and analysis |
2023-06 |
| D5.1.3 |
Protocol for collecting workshop data |
2023-12 |
W5.2 Education and dissemination
Top of page
<< FIN-CLARIAH Overview
