Topic segmentation was addressed by a large amount of work from which it is not easy to draw conclusions, especially about the need for knowledge. In this article, we propose in the same framework two methods for improving the results of a topic segmenter based on lexical reiteration. The first one is endogenous and exploits the distributional similarity of the words of a document for discoveri...

The distal prosodic patterning established at the beginning of an utterance has been shown to influence downstream word segmentation and lexical access. In this study, we investigated whether distal prosody also affects word learning in a novel (artificial) language. Listeners were exposed to syllable sequences in which the embedded words were either congruent or incongruent with the distal pro...

Recent data have been considered as evidence for a role of phonological constraints in speech segmentation processes. A distributional analysis of consonant sequences in the French lexicon shows that these results may be accounted for by lexical competition or by transitional probability models in which no claim is made about the usefulness of phonology in speech perception. Two word-spotting e...

This paper applies Chinese subword representations, namely character and syllable n-grams, into the TextTiling-based automatic story segmentation of Chinese broadcast news. We show the robustness of Chinese subwords against speech recognition errors, out-of-vocabulary (OOV) words and versatility in word segmentation in lexical matching on errorful Chinese speech recognition transcripts. We prop...

This thesis focuses on the integration of lexical and syntactic resources of French in two fundamental tasks of Natural Language Processing [NLP], that are probabilistic part-of-speech tagging and probabilistic parsing. In the case of French, there are a lot of lexical and syntactic data created by automatic processes or by linguists. In addition, a number of experiments have shown interest to ...

In this paper, we introduce the notion of speech cohesion for topic segmentation of a spoken content. The aim is to integrate speaker information and lexical information within a single cohesion value. Based on a lexical cohesion system, we propose an approach that directly integrates the speaker distribution when processing the cohesion. A potential boundary is effective if the joint distribut...

Two word-spotting experiments are reported that examine whether the Possible-Word Constraint (PWC) is a language-speciŽc or languageuniversal strategy for the segmentation of continuous speech. The PWC disfavours parses which leave an impossible residue between the end of a candidate word and any likely location of a word boundary, as cued in the speech signal. The experiments examined cases wh...

In Mandarin speech, the Prosodic Word (PW) is the basic rhythmic unit instead of Lexical Word (LW), and the naturalness of TTS will be directly influenced by the segmentation of PW. Most of the PWs are the combination of some LWs. In this paper, three models, i.e. a directed acyclic graph (DAG) model, segmentation model and Markov Model (MM) combined with Transformation-Based Error Driven (TBED...