Spoken language processing requires speech and natural language integration. Moreover, spoken Korean calls for unique processing methodology due to its linguistic characteristics. This paper presents SKOPE, a connectionist/symbolic spoken Korean processing engine, which emphasizes that: 1) connectionist and symbolic techniques must be selectively applied according to their relative strength and...

This paper presents an Information Extraction (IE) approach for spoken language understanding. The goal in IE is to find proper values for pre-defined slots of given templates. IE for spoken language understanding proposes a concept spotting approach for spoken language because IE approach is interested in only pre-defined concept slots. In spite of this partial understanding, we can acquire ne...

While the field of Information Retrieval originally had the search for the most relevant documents in mind, it has become increasingly clear that in many instances, what the user wants is a piece of coherent information, derived from a set of relevant documents and possibly other sources. Reducing relevant documents, passages, and sentences to their core is the task of text summarization or inf...

The Spoken Language Systems Lab was formally created in 2001, bringing together the expertise of several research groups that shared a common goal: to bridge the gap between natural spoken language and the underlying semantic information, focusing on European Portuguese. This paper describes our efforts towards this long-term goal, starting by the two main areas of activity: semantic processing...

This chapter describes the types of information that can be used to characterize spoken languages. Automatic spoken language identification (LID) systems, which are tasked with determining the identity of the language of speech samples, can utilize a variety of information sources in order to distinguish among languages. In this chapter, we first define what we mean by a language (as opposed to...

Some 15 years ago, when Machine Translation had become fashionable again in Europe, few people would be prepared to consider seriously embarking upon spoken language translation (SLT). After all, where neither machine translation of written text, nor speech understanding or speech production had led to any significant results yet, it seemed clear that putting three not even halfway understood s...

Spoken language speech recognition systems need better understanding of natural spoken language phenomenon than their dictation counterparts. Current language models are mostly based on written text and/or very tedious Wizard of Oz or real dialog experiments. In this paper we propose to use Internet documents as a very rich source of information for spoken language modeling. Through detailed ex...