Results 41 to 50 of about 192,314 (323)
A Trie-Structured Bayesian Model for Unsupervised Morphological Segmentation
, 2017 In this paper, we introduce a trie-structured Bayesian model for unsupervised morphological segmentation. We adopt prior information from different sources in the model.
Can, Burcu +2 more
core +1 more source
Recurrent Multimodal Interaction for Referring Image Segmentation [PDF]
, 2017 In this paper we are interested in the problem of image segmentation given natural language descriptions, i.e. referring expressions. Existing works tackle this problem by first modeling images and sentences independently and then segment images by ...
Lin, Zhe +5 more
core +2 more sources
Mostly-Unsupervised Statistical Segmentation of Japanese Kanji Sequences
, 2002 Given the lack of word delimiters in written Japanese, word segmentation is generally considered a crucial first step in processing Japanese texts.
Ando, Rie Kubota, Lee, Lillian
core +2 more sources
From segmentation bootstrapping to transcription-to-word conversion [PDF]
, 2013 The mapping of a raw phonetic transcription to an orthographic word sequence is carried out in three steps: First, a syllable segmentation of the transcription is bootstrapped, based on unsupervised subtractive learning.
Reichel, Uwe D.
core +1 more source
Unfolding Prosody Guides the Development of Word Segmentation
LanguagesProsody 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
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones [PDF]
, 2017 Syllabification does not seem to improve word-level RNN language modeling quality when compared to character-based segmentation. However, our best syllable-aware language model, achieving performance comparable to the competitive character-aware model ...
Assylbekov, Zhenisbek +3 more
core +4 more sources
Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation [PDF]
, 2000 We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and ...
Andreas Stolcke +6 more
core +6 more sources
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Analysing the Methods of Dzongkha Word Segmentation
Applied Computer Systems, 2017 In both Chinese and Dzongkha languages, the greatest challenge is to identify the word boundaries because there are no word delimiters as it is in English and other Western languages.
Dhungyel Parshu Ram +1 more
doaj +1 more source
R-PHOC: Segmentation-Free Word Spotting using CNN
, 2017 This paper proposes a region based convolutional neural network for segmentation-free word spotting. Our net- work takes as input an image and a set of word candidate bound- ing boxes and embeds all bounding boxes into an embedding space, where word ...
Ghosh, Suman, Valveny, Ernest
core +1 more source