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Optimizing Machine Translation for Virtual Assistants: Multi-Variant Generation with VerbNet and Conditional Beam Search
In this paper, we introduce a domain-adapted machine translation (MT) model for intelligent
virtual assistants (IVA) designed to translate natural language understanding (NLU) training …
virtual assistants (IVA) designed to translate natural language understanding (NLU) training …
[PDF][PDF] Analysis of Dataset Limitations in Semantic Knowledge-Driven Multi-Variant Machine Translation
In this study, we explore the implicafions of dataset limitafions in semanfic knowledge‐driven
machine trans‐lafion (MT) for intelligent virtual assistants (IVA). Our approach diverges from …
machine trans‐lafion (MT) for intelligent virtual assistants (IVA). Our approach diverges from …
CL-QR: Cross-lingual enhanced query reformulation for multi-lingual conversational AI agents
The growing popularity of conversational AI agents such as Alexa, Google Assistant, and Siri
rely on accurate spoken language comprehension. The query reformulation (QR) method …
rely on accurate spoken language comprehension. The query reformulation (QR) method …
Novel feature discovery for task-oriented dialog systems
A novel feature represents a cluster of semantically equivalent novel user requests eg,
requests to play a song on a service or read user's messages. Detecting and supporting …
requests to play a song on a service or read user's messages. Detecting and supporting …