Some quantitative aspects of written and spoken French based on syntactically annotated corpora

Poiret, Rafaël; Liu, Haitao

doi:10.1017/s0959269519000334

Cited by 7 publications

(4 citation statements)

References 57 publications

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“…Because of its strict usage, important documents such as strict laws are written in French internationally. e United Nations has designated French as the first speech language and the first written language [2].…”

Section: Introductionmentioning

confidence: 99%

Research on Machine Learning-Based Error Correction Algorithm for Spoken French

Gao

2021

Security and Communication Networks

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In order to overcome the problems of low error capture accuracy and long response time of traditional spoken French error correction algorithms, this study designed a French spoken error correction algorithm based on machine learning. Based on the construction of the French spoken pronunciation signal model, the algorithm analyzes the spectral features of French spoken pronunciation and then selects and classifies the features and captures the abnormal pronunciation signals. Based on this, the machine learning network architecture and the training process of the machine learning network are designed, and the operation structure of the algorithm, the algorithm program, the algorithm development environment, and the identification of oral errors are designed to complete the correction of oral French errors. Experimental results show that the proposed algorithm has high error capture accuracy and short response time, which prove its high efficiency and timeliness.

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Section: Introductionmentioning

confidence: 99%

Research on Machine Learning-Based Error Correction Algorithm for Spoken French

Gao

2021

Security and Communication Networks

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“…This finding showed an interaction between dependency distance and dependency types. In a more recent research, differences in the MDD of individual dependency types were also observed in spoken and written French (Poiret and Liu, 2020). Based on two treebanks, Poiret and Liu (2020) found that the MDDs of major dependency types (e.g., subject, oblique object) are greater in written French than in spoken French.…”

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confidence: 96%

“…In a more recent research, differences in the MDD of individual dependency types were also observed in spoken and written French (Poiret and Liu, 2020). Based on two treebanks, Poiret and Liu (2020) found that the MDDs of major dependency types (e.g., subject, oblique object) are greater in written French than in spoken French. As a result, further investigation into the diachronic change of dependency types is needed to examine their effects on DDM.…”

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confidence: 96%

Dependency distance minimization: a diachronic exploration of the effects of sentence length and dependency types

Liu

Zhu

Lei

2022

Humanit Soc Sci Commun

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Dependency distance is regarded as an index of memory load and a measure of syntactic difficulty. Previous research has found that dependency distance tends to minimize both synchronically and diachronically due to the limited resource of working memory. However, little is known concerning the effects of different dependency types on the dependency distance minimization. In addition, previous studies showed inconsistent results on the anti-minimization of dependency distance in shorter sentences. Hence, a more fine-grained investigation is needed on the diachronic change of dependency distance with shorter sentences such as those of three or four words. To address these issues, this study intends to explore the diachronic change of dependency distance in terms of two variables, i.e., dependency types and sentence length. Results show that anti-minimization does exist in short sentences diachronically, and sentence length has an effect on diachronic dependency distance minimization of dependency types. More importantly, not all dependency types present a decreasing trend, while only nine types of dependency relations are responsible for the dependency distance minimization. Possible explanations for the findings are offered.

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“…Different languages [25] and genres [26] have different syntactic expressions, and the four treebanks can minimise the influence of languages and genres as much as possible. The format of treebanks is CoNLL-X [27], and the required content extracted from it can be seen in table 1.…”

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confidence: 99%

The role of syntax in the formation of scale-free language networks

Yang¹,

Liu²

2022

EPL

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The overall structure of a network is determined by its micro features, which are different in both syntactic and non-syntactic networks. However, the fact that most language networks are small-world and scale-free raises the question: does syntax play a role in forming the scale-free feature? To answer this question, we build syntactic networks and co-occurrence networks to compare the generation mechanisms of nodes, and to investigate whether syntactic and non-syntactic factors have distinct roles. The results show that frequency is the foundation of the scale-free feature, while syntax is beneficial to enhance this feature. This research introduces a microscopic approach, which may shed light on the scale-free feature of language networks.

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Some quantitative aspects of written and spoken French based on syntactically annotated corpora

Cited by 7 publications

References 57 publications

Research on Machine Learning-Based Error Correction Algorithm for Spoken French

Research on Machine Learning-Based Error Correction Algorithm for Spoken French

Dependency distance minimization: a diachronic exploration of the effects of sentence length and dependency types

The role of syntax in the formation of scale-free language networks

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