Language detection
Summarize
Summary of Language Detection
The language detection feature leverages a pre-trained model to identify the language used in customer service cases. This automation allows for efficient case management by eliminating the need for agents to manually select a language or follow a manual case routing process.
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Key Features
- Automatic language detection during case creation, triggered by specific case fields.
- Supports 20 different languages, allowing cases to be processed in the appropriate language.
- Integration with Advanced Work Assignment (AWA) for automated case routing based on language skills.
- Configuration options to add detected languages to the Language field and as skills for cases.
Key Outcomes
By utilizing the language detection feature, ServiceNow customers can expect:
- Reduced manual effort in case handling, leading to increased agent productivity.
- Improved case routing accuracy to agents with the necessary language skills.
- Enhanced customer experience through timely and relevant support in the appropriate language.
The language detection feature uses a pre-trained model to detect the language used to create customer service cases. You can configure the model to add the language to the Language field on the case record and/or add the language as a skill for the case.
Agents can save time by not having to manually select the language for each case or rely on a manual process for case routing. You can use the language skill stored in the Task Skills table to route cases to the assignment groups and agents with the necessary language skills.
- Cases can be routed automatically with Advanced Work Assignment (AWA).
- Cases can be assigned to agents based on language skills using the assignment workbench.
- Cases can be assigned based on the value in the Language field.
The language detection feature supports 20 different languages. For details, see Languages supported by Task Intelligence.
Language detection flow
- Short description
- Description
When a case is created, the system calls the Detect Language action in the Dynamic Translation spoke which evaluates the text and returns the detected language.
If the returned language confidence is above the defined confidence threshold, the system performs a check to see if the language exists in the Languages [sys_language] table. It performs this check by matching the language code to the value in the ID field.
- Adds the language to the Language field in the Case table.
- Stores the prediction results in the Predictor Results for Task table [ml_predictor_results_task].
- Stores the language skill in the Task Skills table [task_m2m_skill].
Prediction results
The system stores feedback on prediction results in the Predictor Result [ml_predictor_results] table. Users with the ml_admin role can access the table and view the results.For language detection, the Predictor Result table stores the prediction results from the Language Detection Service spoke. The Detected Language field stores the language returned by the Language Detection Services spoke.
The Predictor Result table also stores information about skipped and failed predictions. For more information about this table, see Components installed with Task Intelligence for Customer Service.