Automatic extraction of lexical relations from Chinese machine readable dictionary

2002 ◽  
Author(s):  
Su-Jian Li ◽  
Qun Liu ◽  
Shuo Bai ◽  
Xue-Qi Cheng
Keyword(s):  
Automatic Extraction ◽  
Machine Readable ◽  
Lexical Relations

Automatic Extraction of Hyponymy-Hypernymy Lexical Relations between Nouns from a Spanish Dictionary

2009 ◽  
pp. 227-234
Author(s):  
Rodolfo A. Pazos R. ◽  
José A. Martínez F. ◽  
Juan J. González B. ◽  
María Lucila Morales-Rodríguez ◽  
Jessica C. Rojas P.
Keyword(s):  
Automatic Extraction ◽  
Lexical Relations

scholarly journals Definitional verbal patterns for semantic relation extraction

Terminology ◽  
2008 ◽  
Vol 14 (1) ◽  
pp. 74-98 ◽  
Author(s):  
Gerardo Sierra ◽  
Rodrigo Alarcón ◽  
César Aguilar ◽  
Carme Bach
Keyword(s):  
Descriptive Analysis ◽  
Relation Extraction ◽  
Semantic Relations ◽  
Automatic Extraction ◽  
Starting Point ◽  
Different Types ◽  
Interesting Approach ◽  
Good Starting Point ◽  
Machine Readable

In this paper we present a description of the role of definitional verbal patterns for the extraction of semantic relations. Several studies show that semantic relations can be extracted from analytic definitions contained in machine-readable dictionaries (MRDs). In addition, definitions found in specialised texts are a good starting point to search for different types of definitions where other semantic relations occur. The extraction of definitional knowledge from specialised corpora represents another interesting approach for the extraction of semantic relations. Here, we present a descriptive analysis of definitional verbal patterns in Spanish and the first steps towards the development of a system for the automatic extraction of definitional knowledge.

scholarly journals Defining collocation for Slovenian lexical resources

2020 ◽  
Vol 8 (2) ◽  
pp. 1-27
Author(s):  
Iztok Kosem ◽  
Simon Krek ◽  
Polona Gantar
Keyword(s):  
Proper Names ◽  
Final Part ◽  
Automatic Extraction ◽  
Language Resources ◽  
Lexical Resources ◽  
The Creation ◽  
Key Aspects ◽  
Machine Readable ◽  
Point Of Departure

In this paper, we define the notion of collocation for the purpose of its use in machine-readable language resources, which will be used in the creation of electronic dictionaries and language applications for Slovene. Based on theoretical and lexicographically-driven studies we define collocation as a lexical phenomenon, defined by three key aspects: statistical, syntactic, and semantic. We take lexicographic relevance as a point of departure for defining collocations within the typology of word combinations, as well as for distinguishing them from free combinations. Free combinations are (frequent) syntactically valid word combinations without lexicographic value and consequently there is no need for the description of their meaning, or syntactic role. Next, we distinguish collocations from all multiword lexical units (compounds, phraseological units and lexico-grammatical units) using the lexicographic view that multiword lexical units, whose meaning is not a sum of its parts, require a description of their meaning whereas collocations do not. In the final part, we return to the three aspects of collocation and their role in automatic extraction of collocational information from corpora. Semantic criterion or dictionary relevance of extracted collocations has particularly exposed the problem of semantically broad collocates such as certain types of adverbs, adjectives and verbs, and word which feature in different syntactic roles (e.g. pronouns and adjuncts). We discuss a particular issue of collocations related to proper names and the decisions about their inclusion into the dictionary based on the evaluation of lexicographers.

Machine-readable codes

1986 ◽  
Vol 65 (1) ◽  
pp. 9
Author(s):  
C.W. Painter
Keyword(s):  
Machine Readable

The Use of Medical Record Linkage for Population and Genetic Studies

1969 ◽  
Vol 08 (01) ◽  
pp. 07-11 ◽  
Author(s):  
H. B. Newcombe
Keyword(s):  
Record Linkage ◽  
Large Scale ◽  
Medical Record Linkage ◽  
Canadian Province ◽  
Genetic Studies ◽  
Parental Characteristics ◽  
Family Histories ◽  
The Family ◽  
Large Populations ◽  
Machine Readable

Methods are described for deriving personal and family histories of birth, marriage, procreation, ill health and death, for large populations, from existing civil registrations of vital events and the routine records of ill health. Computers have been used to group together and »link« the separately derived records pertaining to successive events in the lives of the same individuals and families, rapidly and on a large scale. Most of the records employed are already available as machine readable punchcards and magnetic tapes, for statistical and administrative purposes, and only minor modifications have been made to the manner in which these are produced.As applied to the population of the Canadian province of British Columbia (currently about 2 million people) these methods have already yielded substantial information on the risks of disease: a) in the population, b) in relation to various parental characteristics, and c) as correlated with previous occurrences in the family histories.

A Structured Method for the Recognition of Complex Historical Tables

1997 ◽  
Vol 9 (1-3) ◽  
pp. 58-77
Author(s):  
Vitaly Kliatskine ◽  
Eugene Shchepin ◽  
Gunnar Thorvaldsen ◽  
Konstantin Zingerman ◽  
Valery Lazarev
Keyword(s):  
Nineteenth Century ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Complex Structure ◽  
Source Material ◽  
Historical Sources ◽  
Tax Assessment ◽  
Optical Character ◽  
Algorithmic Model ◽  
Machine Readable

In principle, printed source material should be made machine-readable with systems for Optical Character Recognition, rather than being typed once more. Offthe-shelf commercial OCR programs tend, however, to be inadequate for lists with a complex layout. The tax assessment lists that assess most nineteenth century farms in Norway, constitute one example among a series of valuable sources which can only be interpreted successfully with specially designed OCR software. This paper considers the problems involved in the recognition of material with a complex table structure, outlining a new algorithmic model based on ‘linked hierarchies’. Within the scope of this model, a variety of tables and layouts can be described and recognized. The ‘linked hierarchies’ model has been implemented in the ‘CRIPT’ OCR software system, which successfully reads tables with a complex structure from several different historical sources.

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