Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:language
|
| gptkbp:applies_to |
gptkb:software
|
| gptkbp:based_on |
Sequence-to-Sequence Models
|
| gptkbp:can_be |
Multiple Languages
|
| gptkbp:developed_by |
gptkb:film_production_company
Research Institutions Universities Research Labs |
| gptkbp:enables |
Contextual Understanding
|
| gptkbp:has_programs |
gptkb:shopping_mall
gptkb:railway_line Travel Industry Content Localization |
| https://www.w3.org/2000/01/rdf-schema#label |
Neural Machine Translation
|
| gptkbp:improves |
Translation Quality
Language Pair Coverage |
| gptkbp:is_adopted_by |
gptkb:Educational_Institution
Government Agencies Startups Tech Companies Translation Software Machine Translation Systems Translation Apps |
| gptkbp:is_challenged_by |
Ethical Considerations
Data Privacy Concerns Regulatory Compliance Idiomatic Expressions Quality of Training Data User Trust Issues Cultural Nuances Ambiguity in Language Bias in Data Low-resource Languages Domain-specific Terminology |
| gptkbp:is_compared_to |
Statistical Machine Translation
|
| gptkbp:is_enhanced_by |
gptkb:streaming_service
Pre-trained Models |
| gptkbp:is_evaluated_by |
BLEU Score
Adequacy Fluency Human Evaluation Translation Accuracy Automatic Metrics |
| gptkbp:is_implemented_in |
Various Frameworks
|
| gptkbp:is_influenced_by |
gptkb:language
Cognitive Science |
| gptkbp:is_part_of |
gptkb:Artificial_Intelligence
gptkb:Computational_Linguistics |
| gptkbp:is_supported_by |
gptkb:Cloud_Computing_Service
GPU Acceleration Open-source Libraries AP Is |
| gptkbp:is_used_in |
Real-time Translation Services
|
| gptkbp:requires |
Large Datasets
|
| gptkbp:training |
Parallel Corpora
Bilingual Corpora Monolingual Corpora Domain-specific Corpora |
| gptkbp:uses |
gptkb:microprocessor
|
| gptkbp:utilizes |
gptkb:Deep_Learning
|
| gptkbp:bfsParent |
gptkb:Geoffrey_R._Hinton
|
| gptkbp:bfsLayer |
3
|