Bil-DOS: A Bi-lingual Dialogue Ordering System (for Subway)
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Abstract (arXiv)
Due to the unfamiliarity to particular words(or proper nouns) for ingredients, non-native English speakers can be extremely confused about the ordering process in restaurants like Subway. Thus, We developed a dialogue system, which supports Chinese(Mandarin)1 and English2 at the same time. In other words, users can switch arbitrarily between Chinese(Mandarin) and English as the conversation is being conducted. This system is specifically designed for Subway ordering3. In BilDOS, we designed a Discriminator module to tell the language is being used in inputted user utterance, a Translator module to translate used language into English if it is not English, and a Dialogue Manager module to detect the intention within inputted user utterances, handle outlier inputs by throwing clarification requests, map detected Intention and detailed Keyword4 into a particular intention class, locate the current ordering process, continue to give queries to finish the order, conclude the order details once the order is completed, activate the evaluation process when the conversation is done.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 27 references that are in the map. First posted on arXiv 11 Oct 2022.
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6 of 27 references.
References · 6
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2014Convolutional Neural Networks for Sentence Classificationcited by 1,124
- 2018Neural Approaches to Conversational AIcited by 164
- 2014Temporal Analysis of Language through Neural Language Modelscited by 53
- 2020Lifelong Knowledge Learning in Rule-based Dialogue Systemscited by 4
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