Results 31 to 40 of about 1,323,874 (288)
Word-based largest chunks for Agreement Groups processing: Cross-linguistic observations
LingBaW, 2020 The present study reports results from a series of computer experiments seeking to combine word-based Largest Chunk (LCh) segmentation and Agreement Groups (AG) sequence processing.
László Drienkó
doaj +1 more source
Word Segmentation for Burmese (Myanmar) [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2016 Experiments on various word segmentation approaches for the Burmese language are conducted and discussed in this note. Specifically, dictionary-based, statistical, and machine learning approaches are tested. Experimental results demonstrate that statistical and machine learning approaches perform significantly better than dictionary-based approaches ...
Chenchen Ding +3 more
openaire +1 more source
Early syllabic segmentation of fluent speech by infants acquiring French. [PDF]
PLoS ONE, 2013 Word form segmentation abilities emerge during the first year of life, and it has been proposed that infants initially rely on two types of cues to extract words from fluent speech: Transitional Probabilities (TPs) and rhythmic units.
Louise Goyet +2 more
doaj +1 more source
Systran's Chinese word segmentation [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 SYSTRAN's Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules. It works on general-purpose texts from different Chinese-speaking regions, with comparable performance.
Jin Yang, Jean Senellart, Rémi Zajac
openaire +2 more sources
Component-based Segmentation of words from handwritten Arabic text [PDF]
, 2009 Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
AlKhateeb, J. H. +3 more
core +5 more sources
Method of Word Segmentation in Laos Based on Maximal Matching of Syllables
MATEC Web of Conferences, 2017 Word segmentation is an important support of semantic analysis, Machine Translation, QA, knowledge mapping research work, mainly used in information retrieval, text processing, data processing and many other areas of Natural Language Processing ...
Huo Wenjie +3 more
doaj +1 more source
Experience with a second language affects the use of fundamental frequency in speech segmentation. [PDF]
PLoS ONE, 2017 This study investigates whether listeners' experience with a second language learned later in life affects their use of fundamental frequency (F0) as a cue to word boundaries in the segmentation of an artificial language (AL), particularly when the cues ...
Annie Tremblay +7 more
doaj +1 more source
Annals of GIS, 2023 Unlike alphabet-based languages such as English, the Chinese language has no specifying word boundaries. Segmentation, particularly for the Chinese language, is a fundamental step towards Chinese text processing, information retrieval, and knowledge ...
Qinjun Qiu, Zhong Xie, Kai Ma, Miao Tian
doaj +1 more source
Detecting “protein words” through unsupervised word segmentation [PDF]
F1000Research, 2015 Unsupervised word segmentation methods were applied to analyze protein sequences. Protein sequences, such as “MTMDKSELVQKA…,” were used as input to these methods. Segmented protein word sequences, such as “MTM DKSE LVQKA,” were then obtained.
Liang Wang, Kaiyong Zhao
openaire +3 more sources
Unsupervised segmentation of greenhouse plant images based on modified Latent Dirichlet Allocation [PDF]
PeerJ, 2018 Agricultural greenhouse plant images with complicated scenes are difficult to precisely manually label. The appearance of leaf disease spots and mosses increases the difficulty in plant segmentation.
Yi Wang, Lihong Xu
doaj +2 more sources