Mining language resources from institutional repositories

2008

Recently, language resources (LRs) are becoming indispensable for linguistic research. Unfortunately, it is not easy to find their usages by searching the web even though they must be described in the Internet or academic articles. This indicates that the intrinsic value of LRs is not recognized very well. In this research, therefore, we extract a list of usage information for each LR to promote the efficient utilization of LRs. In this paper, we proposed a method for extracting a list of usage information from academic articles by using rules based on syntactic information. The rules are generated by focusing on the syntactic features that are observed in the sentences describing usage information. As a result of experiments, we achieved 72.9% in recall and 78.4% in precision for the closed test and 60.9% in recall and 72.7% in precision for the open test.

LREC 2004 (4th Int. …, 2004

The INTERA and ECHO projects were partly intended to create a critical mass of open and linked metadata descriptions of language resources, helping researchers to understand the benefits of an increased visibility of language resources in the Internet and motivating them to participate. The work was based on the new IMDI version 3.0.3 which is a result of experiences with the earlier versions and new requirements coming from the involved partners. While in INTERA major data centers in Europe are participating, the ECHO project focuses on resources that can be seen as part of cultural heritage. Currently, 27 institutions and projects are active with the goal of having a large browsable and searchable domain by the summer of 2004. Experience shows that the creation of high quality metadata is not trivial and asks for a considerable amount of effort and skills, since manual work alone is too time consuming.

Computing Research Repository, 2001

As language data and associated technologies proliferate and as the language resources community rapidly expands, it has become difficult to locate and reuse existing resources. Are there any lexical resources for such-and-such a language?

2008

The National Institute of Information and Communications Technology (NICT) and Nagoya University have been jointly constructing a large scale database named SHACHI by collecting detailed meta information on language resources (LRs) in Asia and Western countries, for the purpose of effectively combining LRs. The purpose of this project is to investigate languages, tag sets, and formats compiled in LRs throughout the world, to systematically store LR metadata, to create a search function for this information, and to ultimately utilize all this for a more efficient development of LRs. This metadata database contains more than 2,000 compiled LRs such as corpora, dictionaries, thesauruses and lexicons, forming a large scale metadata of LRs archive. Its metadata, an extended version of OLAC metadata set conforming to Dublin Core, which contain detailed meta information, have been collected semi-automatically. This paper explains the design and the structure of the metadata database, as well as the realization of the catalogue search tool. Additionally, the website of this database is now open to the public and accessible to all Internet users.

2019

e-Science and Grid Computing, 2006

The DAM-LR (Distributed Access Management for Language Resources) project aims at virtually integrating various European language resource archives that allow users to navigate and operate in a single unified domain of language resources. This type of integration introduces Grid technology to the humanities disciplines and forms a federation of archives. It is the basis for establishing a research infrastructure for

2003

Language scientists and technologists are increasingly turning to the web as a source of language data, because other resources are not large enough, because they do not contain the types of language the researcher is interested in, or simply because it is free and instantly available. The default means of access to the web is through a search engine such as Google. While the web search engines are dazzlingly efficient pieces of technology and excellent at the task they set themselves, for the linguist they are frustrating.

Computing Research Repository, 2001

The Open Language Archives Community (OLAC) is a new project to build a worldwide system of federated language archives based on the Open Archives Initiative and the Dublin Core Metadata Initiative. This paper aims to disseminate the OLAC vision to the language resources community in Asia, and to show language technologists and linguists how they can document their tools and data in such a way that others can easily discover them. We describe OLAC and the OLAC Metadata Set, then discuss two key issues in the Asian context: language classification and multilingual resource classification.

2006

The DAM-LR project aims at virtually integrating various European language resource archives that allow users to navigate and operate in a single unified domain of language resources. This type of integration introduces Grid technology to the humanities disciplines and forms a federation of archives. It is the basis for establishing a research infrastructure for language resources which will finally enable eHumanities. Currently, the complete architecture is designed based on a few well-known components and some components are already tested. Based on the technological insights gathered and due to discussions within the international DELAMAN network the ethical and organizational basis for such a federation is defined.

The DAM-LR project aims at virtually integrating various European language resource archives that allow users to navigate and operate in a single unified domain of language resources. This type of integration introduces Grid technology to the humanities disciplines and forms a federation of archives. The complete architecture is designed based on a few well-known components .This is considered the basis for building a research infrastructure for Language Resources as is planned within the CLARIN project. The DAM-LR project was purposefully started with only a small number of participants for flexibility and to avoid complex contract negotiations with respect to legal issues. Now that we have gained insights into the basic technology issues and organizational issues, it is foreseen that the federation will be expanded considerably within the CLARIN project that will also address the associated legal issues.