PIRE: Investigation of Meaning Representations in Language Understanding for Machine Translation Systems

- 国际研究和教育伙伴关系（PIRE）将约翰霍普金斯大学和布朗大学的高级和初级研究人员与捷克共和国查尔斯大学和德国萨尔兰大学的同行联系起来。 由约翰霍普金斯大学的Frederick Jelinek领导的国际团队将研究用于语音识别/重建和机器翻译（MT）系统的语言意义的正式表示。他们的目标是通过应用各种形式模型进行深层句法/语义表示来增强当前的语音识别系统，以便其精炼的MT系统的输出成为连贯的语法文本。该项目的补充教育部分包括向参与的美国研究生介绍欧洲开发的语言形式主义，并培训他们将这些形式主义应用于自然语言处理中的问题。 学生将在捷克语或德语的语言培训，并将在国外度过至少一个学期，他们将在查尔斯大学或萨尔兰大学的头驱动短语结构语法进一步他们的语言培训tectogramm表示。 在他们博士学位的最后阶段。计划，每个人将返回捷克共和国或德国与欧洲导师的研究，结合这些国家的最先进的语言处理技术。 合作研究，年度研讨会和交叉培训的结果应该通过整合正式意义表示和自然语言处理的统计方法来推进计算语言学领域，以便可以利用现代计算机资源更快地将其他语言的口头交流翻译成英语。 如果成功的话，这项工作可以彻底改变自动语音识别的语言建模，这样即使是自发的语音也可以被翻译成流畅的重建文本，有效地捕捉原始的意图。这个跨学科的计算语言学PIRE实现了通过使美国和欧洲的专家能够联合收割机互补人才和共享研究资源来推进科学知识的计划目标。 更广泛的影响包括美国研究生的早期职业介绍，以领先的语言学家，计算理论家和人类语言技术专家的国际专业网络。

----This Partnership for International Research and Education (PIRE) links senior and junior researchers from Johns Hopkins University and Brown University with counterparts from Charles University in the Czech Republic and Saarland University in Germany. The international team, led by Frederick Jelinek at Johns Hopkins, will investigate formal representations of linguistic meaning for use in speech recognition/reconstruction and machine translation (MT) systems. Their goal is to augment current speech recognition systems by applying a variety of formal models for deep syntactic/semantic representation so that output of their refined MT system becomes coherent, grammatical text.The projects complementary education component involves introducing participating U.S. graduate students to European-developed linguistic formalisms and training them to apply those formalisms to problems in natural language processing. Students will have language training in Czech or German and will spend at least one semester abroad where they will further their linguistic training in tectogrammatical representation at Charles University or head-driven phrase structure grammar at Saarland University. In the final stages of their Ph.D. program, each will return to the Czech Republic or Germany to work with European mentors on research that incorporates these state-of-the art language processing techniques. Results from the collaborative research, annual workshops and cross-training should advance the field of computational linguistics by integrating formal meaning representations and statistical methods for natural language processing so that modern computer resources can be exploited to more rapidly translate verbal communications from other languages into English. If successful, this work could revolutionize language modeling for automatic speech recognition so that even spontaneous speech may be translated into fluent, reconstructed text that efficiently captures the intended meaning of the original. This interdisciplinary PIRE in computational linguistics fulfills the program objective of advancing scientific knowledge by enabling experts in the United States and Europe to combine complementary talents and share research resources in areas of strong mutual interest and competence. Broader impacts include early career introduction of U.S. graduate students to an international professional network of leading linguists, computational theorists, and experts in human language technology.