Results 41 to 50 of about 191,011 (278)
Fast and Accurate Neural Word Segmentation for Chinese
, 2017 Neural models with minimal feature engineering have achieved competitive performance against traditional methods for the task of Chinese word segmentation.
Cai, Deng +5 more
core +1 more source
Language-universal constraints on the segmentation of English [PDF]
, 2000 Two word-spotting experiments are reported that examine whether the Possible-Word Constraint (PWC) [1] is a language-specific or language-universal strategy for the segmentation of continuous speech.
Butterfield, S. +4 more
core +6 more sources
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
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
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
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
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
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
, 2017 Different linguistic perspectives causes many diverse segmentation criteria for Chinese word segmentation (CWS). Most existing methods focus on improve the performance for each single criterion.
Chen, Xinchi +3 more
core +1 more source
AAA+ protein unfoldases—the Moirai of the proteome
FEBS Letters, EarlyView.AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source