We present DisMo, a multi-level annotator for spoken language corpora that integrates part-of-speech tagging with basic disfluency detection and annotation, and multi-word unit recognition. DisMo is a hybrid system that uses a combination of lexical resources, rules, and statistical models based on Conditional Random Fields (CRF). In this paper, we present the first public version of DisMo for ...

In order to assess the role of visual, lexical, and contextual information on word identification during Korean sentence reading, a self-paced reading experiment was conducted. It was found, in regard to word length variables, that the number of syllables and the number of visual features affected reading times significantly, but the other sub-lexical units (i.e., phonemes and letters) did not....

Abstract As is well-known, code-mixing particularly frequent at clause boundaries and with elements expressing pragmatic meaning. However, most of the literature has focussed on switching simple such as conjunctions discourse markers. This paper, in contrast, analyses peripheral involving two complex constructions: left dislocations pseudo-clefts. The data are from English-Spanish bilingual con...

76 Introduction The examination of the nature of the underlying mechanisms that associate a printed word with its correct lexical unit (i.e., the process of lexical access) is one of the most basic issues in the research on reading. There are several reasons for this relevance. First, lexical access is a central component of sentence reading (Besner & Humphreys, 1991). Second, many reading diso...

Topic Segmentation is the task of breaking documents into topically coherent multi-paragraph subparts. In particular, Topic Segmentation is extensively used in Passage Retrieval and Text Summarization to provide more coherent results by taking into account raw document structure. However, most methodologies are based on lexical repetition that show evident reliability problems or rely on harves...

Despite the proliferation of speech-enabled applications and devices, speech-driven human-machine interaction still faces several challenges. One of theses issues is the new word or the out-of-vocabulary (OOV) problem, which occurs when the underlying automatic speech recognizer (ASR) encounters a word it does not ”know”. With ASR being deployed in constantly evolving domains such as restaurant...

Monolingual corpora were first thought of as an excellent basis for lexicographical research but, as time went on, research projects extended to various kinds of analysis, from the lexicon, to syntactic patterns to various aspects of text structure. Nowadays the study of the general lexicon covers the analysis of single and multi-word units in context, collocations, lexical groups, lexical 'bun...

In multi-word utterances, target words need to be selected in the context of other target words. In the present study, three hypotheses were tested that differed in their assumptions about whether the lexical selection mechanism considers the activation levels of the other target lexical representations, and whether it takes into account their grammatical class properties. Participants produced...

Phone-like units (PLUs) for automatic speech recognition are derived using a decision tree algorithm. In our approach we use information such as target phone label, immediate context, lexical stress level and function word affiliation in the decision tree analysis. The resulting PLUs are shown to improve phone and word recognition.