Three word-spotting experiments assessed the role of syllable onsets and offsets in lexical segmentation. Participants detected CVC words embedded initially or finally in bisyllabic nonwords with aligned (CVC.CVC) or misaligned (CV.CCVC) syllabic structure. A misalignment between word and syllable onsets (Experiment 1) produced a greater perceptual cost than a misalignment between word and syll...

This paper addresses two remaining challenges in Chinese word segmentation. The challenge in HLT is to find a robust segmentation method that requires no prior lexical knowledge and no extensive training to adapt to new types of data. The challenge in modelling human cognition and acquisition it to segment words efficiently without using knowledge of wordhood. We propose a radical method of wor...

The present study investigates whether the inferior frontal gyrus is activated for phonetic segmentation of both speech and sign. Early adult second language learners of Spanish and American Sign Language at the very beginning of instruction were tested on their ability to classify lexical items in each language based on their phonetic categories (i.e., initial segments or location parameter, r...

This paper describes the system that we use for Chinese segmentation task in the 3rd CIPS-SIGHAN bakeoff. We use character sequence labeling method for segmentation, and in order to improve segmentation accuracy over multi-domain, we present a CRF-based Chinese segmentation system integrating supervised, unsupervised and lexical features. We firstly preliminarily segment the target data using C...

The quality of text segmentation and annotation plays a significant role in Natural Language Processing especially in downstream applications. This paper presents the specification for word segmentation and named entity annotation targeted for novels in the Ming and Qing dynasties. The purpose of this work is to build the foundational work for computer-aided lexical semantic analysis of classic...

Word Segmentation is an important prerequisite for almost all Natural Language Processing (NLP) applications. Since word is a fundamental unit of any language, almost every NLP system first needs to segment input text into a sequence of words before further processing. In this paper, Shahmukhi word segmentation has been discussed in detail. The presented word segmentation module is part of Shah...

the present study aims at investigating the effect of different levels of lexical collocational density on efl learners’ reading comprehension. eighty sophomore students with different levels of proficiency studying at  zand institute of higher education in shiraz, iran were chosen from among eighty five learners based on their score distribution on a reduced toefl test constructed by education...