Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation

11 May 2018Nicholas RuizSrinivas BangaloreJohn Chen

With the resurgence of chat-based dialog systems in consumer and enterprise applications, there has been much success in developing data-driven and rule-based natural language models to understand human intent. Since these models require large amounts of data and in-domain knowledge, expanding an equivalent service into new markets is disrupted by language barriers that inhibit dialog automation... (read more)

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