The Syllable’s Role in the Segmentation of Stress Languages
نویسندگان
چکیده
THE " SYLLABLE EFFECT " If French listeners are asked to detect, as rapidly as possible, the phonologica l fragment ba-in a series of spoken words, they respond faster to the word balance than to balcon; conversely, the target bal-is detected more rapidly in balcon than in balance. Syllable boundaries in French are clear: The rst syllable of balance is ba-and the rst syllable of balcon is bal-. Thus listeners consistently respond faster to targets which correspond precisely to the initial syllable of a word. This " syllable effect " discovered by Mehler, Dommergues, Frauenfelder and Segui (1981) has prompted (so far!) a decade and a half of follow-up work (Frauenfelder & Kearns, 1996). The nding is important because it suggests a mechanism by which listeners can attack the problem of continuity of spoken utterances: Clear cues to where words begin and end are rare, but listeners can only understand utterances by decomposing (i.e. segmenting) them into the individual words of which they are made up. Restricting the possible points at which words might conceivably begin to the set of detected syllable boundaries would simplify this segmentation problem. Syllable effects are extremely robust in experiments with French listeners. They appear in the fragment detection task as described above not only with native materials, but also with materials in non-native languages, such as
منابع مشابه
Word segmentation in Persian continuous speech using F0 contour
Word segmentation in continuous speech is a complex cognitive process. Previous research on spoken word segmentation has revealed that in fixed-stress languages, listeners use acoustic cues to stress to de-segment speech into words. It has been further assumed that stress in non-final or non-initial position hinders the demarcative function of this prosodic factor. In Persian, stress is retract...
متن کاملTibetan Word Segmentation as Sub-syllable Tagging with Syllable's Part-of-Speech Property
When Tibetan word segmentation task is taken as a sequence labelling problem, machine learning models such as ME and CRFs can be used to train the segmenter. The performance of the segmenter is related to many factors. In the paper, three factors, namely strategy on abbreviated syllables, tag set, and the syllable’s Part-Of-Speech property, are compared. Experiment data show that: first, if eac...
متن کاملThe Role of Self-Regulatory Approach in Iranian Learners' Lexical Segmentation: The case of authentic materials
The present research investigated the effect of self-regulatory approach (with two components of self-checking and self-efficacy) on pre-intermediate Iranian learners' lexical segmentation in listening comprehension via authentic listening comprehension texts. To achieve this purpose, the investigators administered an Oxford Placement Test (2007) to ninety-eight students of two girls’ private j...
متن کاملThe Role of Self-Regulatory Approach in Iranian Learners' Lexical Segmentation: The case of authentic materials
The present research investigated the effect of self-regulatory approach (with two components of self-checking and self-efficacy) on pre-intermediate Iranian learners' lexical segmentation in listening comprehension via authentic listening comprehension texts. To achieve this purpose, the investigators administered an Oxford Placement Test (2007) to ninety-eight students of two girls’ private j...
متن کاملA New IRIS Segmentation Method Based on Sparse Representation
Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001