Parsing spoken dialogue presents challenges that parsing text does not, including a lack of clear sentence boundaries. We know from previous work that prosody helps in parsing single sentences (Tran et al. 2018), but we want to show the effect of prosody on parsing speech that isn't segmented into sentences. In experiments on the English Switchboard corpus, we find prosody helps our model both with parsing and with accurately identifying sentence boundaries. However, we find that the best-performing parser is not necessarily the parser that produces the best sentence segmentation performance. We suggest that the best parses instead come from modelling sentence boundaries jointly with other constituent boundaries.

翻译：口语对话的句法分析面临文本分析所不具备的挑战，包括缺乏清晰的句子边界。前人研究已表明韵律特征有助于单句句法分析（Tran等人，2018），但我们旨在展示韵律特征对未切分句子的口语语音分析的影响。在英语Switchboard语料库上的实验发现，韵律特征既有助于模型的句法分析，也有助于准确识别句子边界。然而，我们发现性能最优的句法分析器未必能产生最佳的句子分割效果。我们建议，最佳句法分析结果应来自对句子边界与其他成分边界的联合建模。