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

虽然口语系统现在用于许多应用，但语言工程技术仍然不足以完成所有重要任务。例如，自然对话语音的自动识别导致所讲单词的三分之一的转录不正确。 从报纸文章中分析句子 导致错误的半自动分析 句子。 在这一重要领域取得进展的必要性是显而易见的。 可用的语言工程人员的数量很少，目前相对较少的大学教育能够执行所需任务的学生。 中心 语言和语音处理在约翰 霍普金斯大学正在组织一个为期六周的研讨会， 语言工程学将于1998年7月13日至8月24日举行，届时专业人员和学生将共同努力，推动语言工程学的发展。 (2)快速语音识别器适应新说话者;（3）核心自然语言处理 技术 适用 到 多 语言 大学 教授们， 领先的工业 和 政府研究人员目前在广泛分散的地点工作，研究生 学生和六个或更多的本科生通过全国范围内的搜索选择将参加这个研讨会。 预计这一奋进将带来重大的技术创新、学生培训、不同学科思想的交叉交流、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.