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Human Language Technologies

The field of human language technology covers a broad range of activities with
the eventual goal of enabling people to communicate with machines using natural
communication skills. Research and development activities include the
coding, recognition, interpretation, translation, and generation of language.
The study of human language technology is a multidisciplinary enterprise,
requiring expertise in areas of linguistics, psychology, engineering and computer
science. Creating machines that will interact with people in a graceful and
natural way using language requires a deep understanding of the acoustic and
symbolic structure of language (the domain of linguistics), and the mechanisms
and strategies that people use to communicate with each other (the domain of
psychology). Given the remarkable ability of people to converse under adverse
conditions, such as noisy social gatherings or band-limited communication channels,
advances in signal processing are essential to produce robust systems (the
domain of electrical engineering). Advances in computer science are needed to
create the architectures and platforms needed to represent and utilize all of this
knowledge. Collaboration among researchers in each of these areas is needed to
create multimodal and multimedia systems that combine speech, facial cues and
gestures both to improve language understanding and to produce more natural
and intelligible speech by animated characters.

Human language technologies play a key role in the age of information.
Today, the benefits of information and services on computer networks are unavailable
to those without access to computers or the skills to use them. As
the importance of interactive networks increases in commerce and daily life,
those who do not have access to computers or the skills to use them are further
handicapped from becoming productive members of society.

One of the most relevant character in this area is Uszkoreit who studied Linguistics and Computer Science at the Technical University of Berlin from 1973 to 1977 and the University of Texas at Austin from 1977 to 1981. During this time he also worked as a research associate in a large machine translation project at the Linguistics Research Center. He received the Ph. D. (Doctor in Philosophy) in linguistics from University of Texas in 1984. From 1982 until 1986, he worked as a computer scientist at the Artificial Intelligence Center of SRI International in Menlo Park, Ca. During this time he was also affiliated with the Center for the Study of Language and Information at Stanford University as a senior researcher and later as a project leader. In 1986 he spent six months in Stuttgart on an IBM (International Business Machines Corporation) Research Fellowship at the Science Division of IBM Germany. In December 1986 he returned to Sttutgart to work for IBM Germany as a project leader in the project LILOG (Linguistic and Logical Methods for the Understanding of German Texts). During this time, he also taught at the University of Stuttgart.
Among all his relevant publications and projects we can quote here some of them:

* Uszkoreit, H. (2007) Methods and Applications for Relation Detection. In: Proceedings of the Third IEEE International Conference on Natural Language Processing and Knowledge Engineering, Beijing, 2007.
* Uszkoreit, H., F. Xu, J. Steffen and I. Aslan (2006) The pragmatic combination of different cross-lingual resources for multilingual information services In Proceedings of LREC 2006, Genova, Italy, May, 2006.
* Uszkoreit, H. (2000): Sprache und Sprachtechnologie bei der Strukturierung digitalen Wissens. In: W. Kallmeyer (Ed.) Sprache in neuen Medien, Institut für Deutsche Sprache, Jahrbuch 1999, De Gruyter, Berlin.
* Uszkoreit, H. (1999): Sprachtechnologie für die Wissensgesellschaft: Herausforderungen und Chancen für die Computerlinguistik und die theoretische Sprachwissenschaft. In: F. Meyer-Krahmer und S. Lange (Eds.), Geisteswissenschaften und Innovationen, Physica Verlag.
* Uszkoreit, H. (1998): Cross-Lingual Information Retrieval: From Naive Concepts to Realistic Applications. In: Language Technology in Multimedia Information Retrieval, Proceedings of the14th Twente Workshop on Language Technology.

Retrieved 11:50, 02-Abr-2008


abril 2, 2008 - Posted by | Human Language Technologies |

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