WORKSHOP: Language Engineering Workshop for Students and Professionals Integrating Research and Education (WS98)

虽然口语系统现在被用于许多应用，但语言工程技术仍然不足以完成所有重要的任务。例如，自动识别自然对话语音会导致三分之一的口语转录不正确。从报纸文章中分析句子会导致对一半句子的错误自动分析。在这一重要领域取得进展的必要性显而易见。现有的语言工程人员数量很少，目前培养有能力执行所需任务的学生的大学也相对较少。约翰霍普金斯大学的语言和语音处理中心将于1998年7月13日至8月24日举办为期六周的语言工程研讨会，由专业人员和学生组成的团队将共同努力，推动语言工程的发展。将讨论三个主题：(1)语音协同发音的动态分段模型；(2)适用于新说话人的快速语音识别器；(3)适用于多种语言的核心自然语言处理技术。大学教授、目前在广泛分布地区工作的领先工业和政府研究人员、研究生以及通过全国搜索挑选的六名或更多本科生将参加这次研讨会。预计这一努力将带来重大的技术创新、学生培训、不同学科思想的交叉培养、合作研究的启动以及有价值的培训和测试语料库的创建。

While spoken language systems are now used for many applications, language engineering technology is still not adequate for all important tasks. For instance, automatic recognition of natural conversational speech results in incorrect transcription of one- third of the words spoken. Parsing sentences from newspaper articles leads to faulty automatic analysis of half the sentences. The need to make progress in this important area is obvious. The number of available language engineering personnel is small and relatively few universities presently educate students capable of performing the required tasks. The Center for Language and Speech Processing at the Johns Hopkins University is organizing a six week workshop on Language Engineering from July 13 to August 24, 1998, in which teams of professionals and students will work together to advance the state of the art. Three topics will be addressed: (1) Dynamic Segmental Models of Speech Coarticulation; (2) Rapid Speech Recognizer Adaptation to New Speakers; (3) Core Natural Language Processing Technology Applicable to Multiple Languages. University professors, leading industrial and government researchers presently working in widely dispersed locations, graduate students, and six or more undergraduate students selected through a nationwide search will participate in this workshop. Significant technological innovations, training of students, cross-fertilization of ideas from various disciplines, initiation of collaborative research, and creation of valuable training and test corpora are expected to result from this endeavor.