Linguistic databases Ed. by John Nerbonne

Language ◽  
2000 ◽  
Vol 76 (1) ◽  
pp. 209-209
Author(s):  
Boudewijn Rempt
Keyword(s):  
Linguistic Databases

scholarly journals Foreign language linguistic databases in the digital dictionary of metaphors

2021 ◽  
Author(s):  
Olesya V. Avramenko ◽  
Keyword(s):  
Foreign Language ◽  
Linguistic Databases

The model of lexicographic description of English, Italian and Kazakh language figurative means explicating metaphorical rethinking of the gastronomic sphere phenomena in the digital “Multilingual Dictionary of Metaphors” is presented.

scholarly journals Using XML Format in Lexicography: Creating an XML Schema for the Dictionary of Slovenian Synonyms

2015 ◽  
Vol 18 (1) ◽  
Author(s):  
Nina Ledinek ◽  
Andrej Perdih
Keyword(s):  
Decision Making ◽  
Technical Aspect ◽  
Practical Aspect ◽  
Xml Schema ◽  
Formal Structure ◽  
Standard Format ◽  
Hierarchical Structuring ◽  
Linguistic Databases

This article explains why XML format has become established as the standard format for multilevel hierarchical structuring of linguistic databases and how an XML Schema can be used to manage the formal structure and content of elements in a dictionary database. Various aspects that must be taken into account when structuring complex dictionary databases in XML format are presented: the lexicographic or content aspect, the practical aspect, and the technical aspect. Decision-making is illustrated with the example of designing an XML Schema for the Dictionary of Slovenian Synonyms.

scholarly journals Lexical Simplification with Pretrained Encoders

2020 ◽  
Vol 34 (05) ◽  
pp. 8649-8656
Author(s):  
Jipeng Qiang ◽  
Yun Li ◽  
Yi Zhu ◽  
Yunhao Yuan ◽  
Xindong Wu
Keyword(s):  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Parallel Corpus ◽  
Complex Word ◽  
Original Sentence ◽  
Complex Words ◽  
The Given ◽  
Linguistic Databases

Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification approaches only rely on the complex word itself regardless of the given sentence to generate candidate substitutions, which will inevitably produce a large number of spurious candidates. We present a simple LS approach that makes use of the Bidirectional Encoder Representations from Transformers (BERT) which can consider both the given sentence and the complex word during generating candidate substitutions for the complex word. Specifically, we mask the complex word of the original sentence for feeding into the BERT to predict the masked token. The predicted results will be used as candidate substitutions. Despite being entirely unsupervised, experimental results show that our approach obtains obvious improvement compared with these baselines leveraging linguistic databases and parallel corpus, outperforming the state-of-the-art by more than 12 Accuracy points on three well-known benchmarks.

Management of Linguistic Databases

1996 ◽  
Vol 24 (1) ◽  
pp. 61-70 ◽  
Author(s):  
William A. Kretzschmar ◽  
Rafal Konopka
Keyword(s):  
Linguistic Databases

Linguistic Databases

Language ◽  
2000 ◽  
Vol 76 (1) ◽  
pp. 209
Author(s):  
Boudewun Rempt ◽  
John Nerbonne
Keyword(s):  
Linguistic Databases

The Linguistic Expression of a Semantic Relation

1998 ◽  
Vol 12 ◽  
pp. 175-188
Author(s):  
Sophie Aslanides
Keyword(s):  
Natural Language ◽  
Syntactic Structure ◽  
Semantic Representation ◽  
Semantic Relation ◽  
Linguistic Knowledge ◽  
Linguistic Expression ◽  
Generation System ◽  
Language Generation ◽  
Linguistic Databases ◽  
Linguistic Means

Abstract. This article sets out some of the results of wider research on the linguistic databases of a natural language generation system. One of the necessary steps in the building of such databases is to determine the linguistic means the generator must have in order to produce a linguistic form that corresponds to the semantic representation given as an input. We wish to focus here on the theoretical choices and issues rather than on the application itself. We assume that texts have a syntactic structure, whose characteristics are partly comparable to the syntactic structure of a sentence, and that a connective can be considered as a textual predicate which has arguments that are constrained in the same way as the arguments of a verb. This article will concentrate more specifically on one particular semantic relation — the simultaneity of two events — and will show how the taxonomy of the associated connectives can be elaborated. Finally, we will set out some of the major developments of this research, which concern the interface between conceptual and linguistic knowledge.

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