FIN-CLARIAH Deliverables

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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

D1.1.1 Updating LBF resource selection 2022-09
D1.1.2 Ingesting new unstructured resources 2023-12

W1.2 Speech processing and annotation

D1.2.1 Forced-Alignment Service 2022-09
D1.2.2 Transcription Service for Finnish Interviews 2023-09

W1.3 Noise-tolerant NLP

D1.3.1 Corpora of non-standard language 2022-09
D1.3.2 Statistical noise models 2023-06
D1.3.3 Language models 2023-09
D1.3.4 Noise-resistant models 2023-12

Module 2: Language Research Infrastructure

W2.1 Social Data Science

D2.1.1 Licensing agreements for personal data 2022-09
D2.1.2 Licensing agreements for special categories 2023-06

W2.2 Learners’ Assessment Environments

D2.2.1 Speech recognition for L2 2022-12
D2.2.2 Speech recognition for L2 update 2023-12

W2.3 Translation and Interpretation

D2.3.1 Licensing interpretation sessions 2022-12
D2.3.2 Aligning and retrieving interpretations 2023-12

W2.4 Terminology

D2.4.1 Term discovery procedures 2022-09
D2.4.2 Terminology application 2023-06
D2.4.3.1 Initializing terminology collections 2022-09
D2.4.3.2 Initializing terminology collections 2023-06
D2.4.3.3 Initializing terminology collections 2023-12

W2.5 Solutions for better use of language learner performances in research

D2.5.1 Test performances storage 2022-12
D2.5.2 Learner performances tools 2023-12

Module 3: Structuring Data

W3.1 Increasingly automated ingestion of material

D3.1.1 Initial NLF data 2022-09
D3.1.2 Ingestion framework 2022-12
D3.1.3 Versioning support 2023-06
D3.1.4 Incremental update process 2023-12

W3.2 AI solutions to better use of National Archives mass digitisation services

D3.2.1 Analysis tools for NARC data 2022-12
D3.2.2 Annotation tools for NARC data 2023-12

W3.3 AI solutions to better use of textual qualitative survey data

D3.3.1 Qualitative survey data concept network 2022-09
D3.3.2 Browser for data concept network 2023-09

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
D3.5.2 TNA network of Parliamentary debates 2023-09

Module 4: Analyzing Structured Data

W4.1 Metadata harmonization and analysis

D4.1.1 Harmonized FNB 2022-09
D4.1.2 Harmonization code 2022-12
D4.1.3 Visualisation workflow 2023-06
D4.1.4 R/Python modules 2023-12

W4.2 Linked Open Data Services

D4.2.1 LDF knowledge extraction tools 2022-12
D4.2.2 Parliament of Finland ontology 2023-12

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

D5.2.1 Actor network 2022-12
D5.2.2 Educational material 2023-12

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