Lexical Cohesion is a commonly studied linguistic feature as it is easily identified from the surface of a text. However, the purposes for studying lexical cohesion are varied, and each purpose requires different methods. This study analyzes two short movie review texts for four different research purposes using lexical cohesion: text evaluation, text segmentation, text summarization, and text ...

We present a mathematically rigorous framework for modeling the statistical behavior of lexical chains for automatic story segmentation of broadcast news audio. Lexical chains were first proposed in [1] to connect related terms within a story, as an embodiment of lexical cohesion. The vocabulary within a story tends to be cohesive, while a change in the vocabulary distribution tends to signify ...

This study compared the use of lexical knowledge and stress cues in segmentation by Mandarin second language (L2) of English. Previous research has shown that native English speakers reliably use lexical cues but not stress cues. However, L2 learners may have difficulty using lexical knowledge in segmentation due to their limited vocabulary size. Instead, Mandarin L2 learners may rely on stress...

This artificial language learning (ALL) study investigates how multiple sublexical cues contribute simultaneously to lexical segmentation in French. Previous research [9] has explored segmentation in lexical identification by presenting conflicting sublexical cues in the same experiment. We argue that this method of pitting conflicting cues against each other pairwise does not allow the researc...

We propose a maximum lexical cohesion (MLC) approach to news story segmentation. Unlike sentence-dependent lexical methods, our approach is able to detect story boundaries at finer word/subword granularity, and thus is more suitable for speech recognition transcripts which have no sentence delimiters. The proposed segmentation goodness measure takes account of both lexical cohesion and a prior ...

This paper presents a robust method of lexical analysis for Chinese text-to-speech (TTS) synthesis using a pair-based Language Model (LM). The traditional way of Chinese lexical analysis simply regards the word segmentation and part-of-speech (POS) tagging as two separated phases. Each of them utilizes its own algorithms and models. Actually, the POS information is useful for word segmentation,...

A central question in psycholinguistic research is how listeners isolate words from connected speech despite the paucity of clear word-boundary cues in the signal. A large body of empirical evidence indicates that word segmentation is promoted by both lexical (knowledge-derived) and sublexical (signal-derived) cues. However, an account of how these cues operate in combination or in conflict is ...

One challenge for theories of word recognition is to determine how the listener recovers the intended lexical segmentation in continuous speech. We argue that syllable structure provides one source of constraint on lexical segmentation and more precisely, that syllable onsets constitute potential alignment points for the mapping process. We present an overview of several studies using explicit ...

It has been posited that the role of prosody in lexical segmentation is elevated when the speech signal is degraded or unreliable. Using predictions from Cutler and Norris' [J. Exp. Psychol. Hum. Percept. Perform. 14, 113-121 (1988)] metrical segmentation strategy hypothesis as a framework, this investigation examined how individual suprasegmental and segmental cues to syllabic stress contribut...