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1
Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels
In: Front Psychol (2021)
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2
Linguistic emergence from a networks approach: The case of modern Chinese two-character words
In: PLoS One (2021)
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3
The evolutionary pattern of language in scientific writings: A case study of Philosophical Transactions of Royal Society (1665–1869) [<Journal>]
Sun, Kun [Verfasser]; Liu, Haitao [Verfasser]; Xiong, Wenxin [Verfasser]
DNB Subject Category Language
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4
Valency Dictionaries and Chinese Vocabulary Acquisition for Foreign Learners
In: Lexikos; Vol. 30 (2020) ; 2224-0039 (2020)
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5
Statistical patterns of word frequency suggesting the probabilistic nature of human languages ...
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6
<Titel nicht gefunden>
Altmann, Gabriel [Herausgeber]; Best, Karl-Heinz [Herausgeber]; Liu, Haitao [Herausgeber]. - 2019
DNB Subject Category Language
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7
Quantitative Analysis of Dependency Structures
Jiang, Jingyang [Herausgeber]; Liu, Haitao [Herausgeber]. - Berlin/Boston : De Gruyter, 2018
DNB Subject Category Language
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8
Quantitative analysis of dependency structures
Jiang, Jingyang (Herausgeber); Liu, Haitao (Herausgeber). - Boston : De Gruyter Mouton, 2018
BLLDB
UB Frankfurt Linguistik
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9
Zipf's law in 50 languages: its structural pattern, linguistic interpretation, and cognitive motivation ...
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10
How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks
Chen, Heng; Chen, Xinying; Liu, Haitao. - : Public Library of Science, 2018
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11
Motifs in language and text
Liu, Haitao [Herausgeber]; Liang, Junying [Herausgeber]. - Berlin : de Gruyter Mouton, 2017
DNB Subject Category Language
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12
Motifs in Language and Text
Liu, Haitao [Herausgeber]; Liang, Junying [Herausgeber]. - Berlin/Boston : De Gruyter, 2017
DNB Subject Category Language
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13
Motifs in Language and Text
Liang, Junying [Herausgeber]; Liu, Haitao [Herausgeber]. - Berlin/Boston : De Gruyter, 2017
DNB Subject Category Language
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14
Microscopic and macroscopic approaches to the mental representations of second languages
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15
Dependency Distance Differences across Interpreting Types: Implications for Cognitive Demand
Liang, Junying; Fang, Yuanyuan; Lv, Qianxi. - : Frontiers Media S.A., 2017
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16
Dependency Distance Motifs in 21 Indo- European Languages
In: Jing, Yingqi; Liu, Haitao (2017). Dependency Distance Motifs in 21 Indo- European Languages. In: Liu, Haitao; Liang, Junying. Motifs in Language and Text. Berlin: de Gruyter, 133-150. (2017)
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17
The distribution of information content in English sentences ...
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18
Chinese Writing of Deaf or Hard-of-Hearing Students and Normal-Hearing Peers from Complex Network Approach
Jin, Huiyuan; Liu, Haitao. - : Frontiers Media S.A., 2016
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19
Can Learning a Foreign Language Foster Analytic Thinking?—Evidence from Chinese EFL Learners' Writings
Jiang, Jingyang; Ouyang, Jinghui; Liu, Haitao. - : Public Library of Science, 2016
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20
The influence of Chunking on Dependency Crossing and Distance ...
Lu, Qian; Xu, Chunshan; Liu, Haitao. - : arXiv, 2015
Abstract: This paper hypothesizes that chunking plays important role in reducing dependency distance and dependency crossings. Computer simulations, when compared with natural languages,show that chunking reduces mean dependency distance (MDD) of a linear sequence of nodes (constrained by continuity or projectivity) to that of natural languages. More interestingly, chunking alone brings about less dependency crossings as well, though having failed to reduce them, to such rarity as found in human languages. These results suggest that chunking may play a vital role in the minimization of dependency distance, and a somewhat contributing role in the rarity of dependency crossing. In addition, the results point to a possibility that the rarity of dependency crossings is not a mere side-effect of minimization of dependency distance, but a linguistic phenomenon with its own motivations. ... : 6 figures ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1509.01310
https://arxiv.org/abs/1509.01310
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