Program

Date	Title Instructor(s)	Abstract
Monday, June 28	"Ecological" Issues in Language Engineering Jim Cowie and Bill Odgen Guest Lecturer: Mark Leisher, Eugene Ludovik and Ron Zacharski	This course will cover issues related to writing systems, encodings, input and output methods; treatment of punctuation, special characters and symbols, including mark-up; processing of dates and numbers; and a variety of issues connected with managing large multilingual collections of documents featuring different mark-up styles. A number of computational tools will be introduced and used in practical exercises.
Tuesday/Wednesday, June 29-30	Approaches to Computational Morphology Kemal Oflazer Guest Lecturers: Stephen Helmreich, Karine Megerdoomian, and Svetlana Sheremetyeva	After a presentation of several approaches to computational morphology, with example systems for such widely different languages as Spanish, Persian, Russian and Turkish, this course will concentrate on the engineering of state-of-the-art morphological analysis and generation systems, especially for languages other than English. The students will also get hands-on experience using sophisticated development and testing tools, by building a morphological analyzer.
Thursday/Friday, July 1-2	Lexicon Acquisition for NLP I: Morphology and Syntax Rémi Zajac Guest Lecturer: Svetlana Sheremetyeva	This course will describe the process of design and acquisition of several types of lexicons for NLP systems: lexicons supporting morphological and syntactic analysis of texts in a language, transfer lexicons for machine translation and multilingual onomastica (lexicons of proper names). A number of acquisition interfaces will be used in practical exercises.
Monday/Tuesday, July 5-6	Lexicon Acquisition for NLP II: Ontological Semantics Sergei Nirenburg Guest Lecturers: Hyopil Shin	This course will present the design and acquisition of static knowledge sources to support analysis of meaning in natural language texts. In particular, it will cover designing and building ontologies, or world models, for NLP and lexicons for the support of semantic analysis of particular languages. Practical exercises will be supported by interactive acquisition interfaces.
Wednesday/Thursday July 7-8	Knowledge Elicitation from Informants Sergei Nirenburg Guest Lecturers: Jim Cowie and David Farwell	This course will present an environment for eliciting grammatical and lexical knowledge about a language from a user who knows that language and English but is not a trained linguist. This kind of environment is a realistic alternative to experimenting with automatic elicitation of language knowledge. It combines corpus-based, expectation-based and failure-driven acquisition of declarative knowledge about a language and is most useful for the languages for which few computational resources are available. The design of the acquisition process and system will be discussed, and the interface, Boas, will be used in practical exercises.
Friday July 9	A Survey of Language Engineering Applications Jim Cowie, Sergei Nirenburg, Bill Odgen and Rémi Zajac	This course will introduce language engineering applications such as machine translation, information retrieval, information extraction, text summarization and language instruction. The tasks and techniques learned in the other courses will be put in their context and further illustrated in the discussion of the various systems devoted to particular applications. The following systems will be presented and made available for laboratory work: the Corelli machine translation environment; the MINDS information retrieval and summarization system, the URSA cross-language information retrieval engine, the Oleada language instruction environment and translator’s tool set, the Mikrokosmos machine translation system, and the Expedition environment for configuring machine translation systems for low-density languages.