Results 31 to 40 of about 25,624 (260)

Method of Word Segmentation in Laos Based on Maximal Matching of Syllables

open access: yesMATEC 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]

open access: yesPLoS 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

BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain

open access: yesAnnals 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]

open access: yesF1000Research, 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]

open access: yesPeerJ, 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

Word Segmentation as Graph Partition

open access: yesCoRR, 2018
We propose a new approach to the Chinese word segmentation problem that considers the sentence as an undirected graph, whose nodes are the characters. One can use various techniques to compute the edge weights that measure the connection strength between characters.
Yuanhao Liu, Sheng Yu 0002
openaire   +3 more sources

State-of-the-art Vietnamese word segmentation [PDF]

open access: yes2016 2nd International Conference on Science in Information Technology (ICSITech), 2016
Word segmentation is the first step of any tasks in Vietnamese language processing. This paper reviews stateof-the-art approaches and systems for word segmentation in Vietnamese. To have an overview of all stages from building corpora to developing toolkits, we discuss building the corpus stage, approaches applied to solve the word segmentation and ...
Song Nguyen Duc Cong   +2 more
openaire   +3 more sources

Periodicity and unbordered segments of words

open access: yesDiscrete Mathematics, 1979
AbstractA nonempty word β is said to be a border of a word α if and only if α = λβ = βρ for some nonempty words λ and ρ. For an arbitrary (possibly infinite) sequence α the expression # α denotes the (possibly infinite) supremum of the set of all |β| for β an unbordered finite segment of α.
Andrzej Ehrenfeucht, D. M. Silberger
openaire   +1 more source

Unfolding Prosody Guides the Development of Word Segmentation

open access: yesLanguages
Prosody is known to scaffold the learning of language, and thus understanding prosodic development is vital for language acquisition. The present study explored the unfolding prosody model of prosodic development (proposed in Frota’s et al. study in 2016)
Sónia Frota   +2 more
doaj   +1 more source

Competition and segmentation in spoken word recognition [PDF]

open access: yes3rd International Conference on Spoken Language Processing (ICSLP 1994), 1994
Spoken utterances contain few reliable cues to word boundaries, but listeners nonetheless experience little difficulty identifying words in continuous speech. The authors present data and simulations that suggest that this ability is best accounted for by a model of spoken-word recognition combining competition between alternative lexical candidates ...
Norris, D., McQueen, J., Cutler, A.
openaire   +7 more sources

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