Google llc (20240127807). LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS simplified abstract
Contents
- 1 LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS
Organization Name
Inventor(s)
Fadi Biadsy of Mountain View CA (US)
Diamantino Antonio Caseiro of Philadelphia PA (US)
LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127807 titled 'LANGUAGE MODELS USING DOMAIN-SPECIFIC MODEL COMPONENTS
Simplified Explanation
The patent application describes methods, systems, and apparatus for language models using domain-specific model components. These components are selected based on the non-linguistic context of an utterance to generate a transcription using both domain-specific and domain-independent model components.
- Context data for an utterance is obtained.
- A domain-specific model component is selected based on the non-linguistic context.
- A score for a candidate transcription is generated using the selected domain-specific model component and a baseline model component.
- The transcription for the utterance is determined using the score.
Potential Applications
This technology can be applied in automated speech recognition systems, virtual assistants, customer service chatbots, and language translation services.
Problems Solved
1. Improved accuracy in transcribing speech in specific domains. 2. Enhanced understanding of context in language models.
Benefits
1. Higher accuracy in transcribing domain-specific language. 2. Better user experience in interacting with automated systems. 3. Increased efficiency in language processing tasks.
Potential Commercial Applications
Optimizing customer service interactions, enhancing virtual assistant capabilities, improving language translation services.
Possible Prior Art
Prior art may include existing automated speech recognition systems, domain-specific language models, and context-aware language processing technologies.
Unanswered Questions
How does this technology handle multi-language support?
The patent application does not specify how the system manages multiple languages or language switching within the same utterance.
What is the computational overhead of using domain-specific model components?
The document does not address the potential increase in computational resources required to implement and maintain domain-specific model components in the language model system.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for language models using domain-specific model components. in some implementations, context data for an utterance is obtained. a domain-specific model component is selected from among multiple domain-specific model components of a language model based on the non-linguistic context of the utterance. a score for a candidate transcription for the utterance is generated using the selected domain-specific model component and a baseline model component of the language model that is domain-independent. a transcription for the utterance is determined using the score the transcription is provided as output of an automated speech recognition system.
