This article presents a new approach of us-ing dependency treebanks in theoretical syn-tactic research: the view of dependency treebanks as combined networks. This al-lows the usage of advanced tools for net-work analysis that quite easily provide novel insight into the syntactic structure of lan-guage. As an example of this approach, we will show how the network approach can provide clear structural distinctions among the Chinese function words, which are very difficult to obtain directly from the original treebank. We hope to illustrate the enor-mous potential of the language network ap
Lexical semantic information plays an important role in supervised dependency parsing. In this paper...
This paper proposes an approach to en-hance dependency parsing in a language by using a translated t...
We study the correlations in the connectivity patterns of large scale syntactic dependency networks....
Abramov O, Mehler A. Automatic Language Classification by means of Syntactic Dependency Networks. Jo...
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependen...
Deep semantic parsing is the key to understand sentence meaning. This paper integrates some Chinese ...
In this paper, we show some properties of function words in dependency trees. Function words are gra...
peer reviewedThis paper scrutinizes various dependency-based representations of the syntax of functi...
During the last decade, the Computational Linguistics community has shown an increased interest in D...
In this study, the complex-network approaches are employed to investigate the word form networks and...
The article examines the Universal Dependencies (UD) annotation scheme. The UD project is an interna...
Many languages are spoken on Earth. Despite their diversity, many robust language universals are kno...
Network theory provides a suitable framework to model the structure of language as a complex system....
This paper presents a truly full character-level neural dependency parser together with a newly rele...
International audienceThis paper scrutinizes various dependency based representations of the syntax ...
Lexical semantic information plays an important role in supervised dependency parsing. In this paper...
This paper proposes an approach to en-hance dependency parsing in a language by using a translated t...
We study the correlations in the connectivity patterns of large scale syntactic dependency networks....
Abramov O, Mehler A. Automatic Language Classification by means of Syntactic Dependency Networks. Jo...
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependen...
Deep semantic parsing is the key to understand sentence meaning. This paper integrates some Chinese ...
In this paper, we show some properties of function words in dependency trees. Function words are gra...
peer reviewedThis paper scrutinizes various dependency-based representations of the syntax of functi...
During the last decade, the Computational Linguistics community has shown an increased interest in D...
In this study, the complex-network approaches are employed to investigate the word form networks and...
The article examines the Universal Dependencies (UD) annotation scheme. The UD project is an interna...
Many languages are spoken on Earth. Despite their diversity, many robust language universals are kno...
Network theory provides a suitable framework to model the structure of language as a complex system....
This paper presents a truly full character-level neural dependency parser together with a newly rele...
International audienceThis paper scrutinizes various dependency based representations of the syntax ...
Lexical semantic information plays an important role in supervised dependency parsing. In this paper...
This paper proposes an approach to en-hance dependency parsing in a language by using a translated t...
We study the correlations in the connectivity patterns of large scale syntactic dependency networks....