betweenphrasesandawordlevelalignment between single words. Wepresentresultsus-ingtheVerbmobiltask (German-English, 6000-word vocabulary) whichisalimited-domain spoken-language task. Theexperimentaltests wereperformedonboththetext transcription and thespeechrecognizeroutput.

The word-by-word time-course of spoken language understanding was investigated in two experiments, focussing simultaneously on word-recognition (local) processes and on structural and interpretative (global) processes. Both experiments used three word-monitoring tasks, which varied the description

for the various forms of ellipsis, which preempt the need to plan the detailed shape of one or more constituents and thereby reduce the size of planning units. Because working memory load tends to be higher in spoken than in written language, one expects that speakers, in comparison with writers, will more

System spoken language corpus. Finally, the new algorithm has better time complexity than the original one when sufficient bracketing is provided. 1

This paper describes the details of the system, and includes relevant measurements of size, efficiency, and performance of each of its components

Abstract—The importance of automatically recognizing emotions from human speech has grown with the increasing role of spoken language interfaces in human-computer interaction applications. This paper explores the detection of domain-specific emotions using language and discourse information

With growing interest in Chinese Language Processing, numerous NLP tools (e.g., word segmenters, part-of-speech taggers, and parsers) for Chinese have been developed all over the world. However, since no large-scale bracketed corpora are available to the public, these tools are trained on corpora

without a treebank. In our experiments, hierarchical pruning greatly accelerates parsing with no loss in empirical accuracy. Second, we compare various inference procedures for state-split PCFGs from the standpoint of risk minimization, paying particular attention to their practical tradeoffs. Finally, we

The DARPA Spoken Language System (SLS) community has long taken a leadership position in designing, implementing, and globally distributing significant speech corpora widely used for advancing speech recognition research. The Wall Street Journal (WSJ) CSR Corpus described here is the newest

nvestigated the implications of this information for the representation and processing of spoken language. Research on phonotactics in linguistics has examined the representations of various types of sequential constraints and segmental co-occurrence relations in syllables and words (Frisch, Broe