Research Use Cases
Discover how researchers use Pauhu data and services for academic projects.
Overview
Pauhu supports research across multiple disciplines:
| Field | Applications |
|---|---|
| Computational Linguistics | MT evaluation, parsing, morphology |
| Natural Language Processing | Model training, benchmarking |
| Legal Informatics | EU law analysis, cross-lingual legal IR |
| Political Science | Policy analysis, legislative tracking |
| Translation Studies | Quality assessment, corpus linguistics |
| Digital Humanities | Multilingual text mining |
Machine Translation Research
Fine-tuning Translation Models
Challenge: Domain-specific translation requires specialized training data.
Pauhu Solution:
- 21 EuroVoc domain corpora
- Pre-aligned, quality-verified segments
- E1-E5 enrichment layers for feature engineering
Relevant Data: Any domain corpus (bilingual or multilingual), E4 layer (quality metrics) for filtering
Translation Quality Estimation
Challenge: Predicting translation quality without references.
Pauhu Solution: E4 quality layer includes segment-level alignment scores, fluency metrics, and terminology consistency scores.
Legal NLP Research
Cross-lingual Legal Information Retrieval
Challenge: Finding relevant EU legislation across languages.
Pauhu Solution:
- Parallel legal corpus (24 languages)
- CELEX identifiers for document linking
- EuroVoc classification for topical search
Legal Terminology Extraction
Challenge: Identifying and aligning legal terms across languages.
Pauhu Solution:
- E3 layer includes IATE terminology links
- EuroVoc concept annotations
- Named entity recognition (E1)
Morphological Analysis
Morphologically Rich Languages
Challenge: Processing languages with complex morphology (Finnish, Hungarian).
Pauhu Solution:
- UniMorph 4.0 data (163 languages)
- 15.9 million inflected forms
- Forward and reverse lookup tables
Relevant Data: Morphology downloads (Morphology API), E1 layer (lemmatization, POS tagging)
Corpus Linguistics
Parallel Corpus Studies
Challenge: Studying translation patterns and shifts.
Pauhu Solution:
- Sentence-aligned parallel texts
- Multiple translation directions
- Legal/administrative register
Research Applications: Translation universals research, explicitation studies, register analysis, translator training
Multilingual NLP
Cross-lingual Transfer Learning
Challenge: Transferring NLP models across languages.
Pauhu Solution:
- Aligned annotations across 24 languages
- Consistent E1-E5 enrichment
- Same domain coverage
Multilingual Embeddings
Challenge: Creating aligned embedding spaces.
Pauhu Solution:
- Parallel sentences for alignment
- High-quality verified translations
- Domain-specific subsets
Data Access for Research
Eligibility
| Researcher Type | Verification |
|---|---|
| Faculty/Staff | Institutional email |
| PhD Students | ORCID + supervisor |
| Master's Students | Supervisor approval |
| Independent Researchers | ORCID + publication record |
| Non-profits | Organization verification |
Application Process
- Email research@pauhu.ai with:
- Research proposal (1 page)
- ORCID or institutional affiliation
- Intended publications/outputs
- Receive license agreement
- Complete payment
- Download data
Contact
Research support: research@pauhu.ai
Response time: 2 business days