Creating Lexical Resources in TEI P5

Automatically Creating Multilingual Lexical Resources

The thesis proposes creating bilingual dictionaries and Wordnets for languages without many lexical resources using resources of resource-rich languages. Our work will have the advantage of creating lexical resources, reducing time and cost and at the same time improving the quality of resources created.

Creating Lexical Resources for Endangered Languages

This paper examines approaches to generate lexical resources for endangered languages. Our algorithms construct bilingual dictionaries and multilingual thesauruses using public Wordnets and a machine translator (MT). Since our work relies on only one bilingual dictionary between an endangered language and an “intermediate helper” language, it is applicable to languages that lack many existing r...

LERIL: Collaborative Effort for Creating Lexical Resources

The paper reports on efforts taken to create lexical resources pertaining to Indian languages, using the collaborative model. The lexical resources being developed are: (1) transfer lexicon and grammar from English to several Indian languages, and (2) dependency tree bank of annotated corpora for several Indian languages. The dependency trees are based on the Paninian model. (3) is an attempt t...

TEI P5 as an XML Standard for Treebank Encoding∗

The aim of the paper is to show that a subset of Text Encoding Initiative Guidelines is a reasonable choice as a standard for stand-off XML encoding of syntactically annotated corpora. The proposed TEI schema — actually employed in the National Corpus of Polish — is compared to other such candidate standards, including TIGER-XML, SynAF and PAULA.

Automatic Extraction of TEI Structures in Digitized Lexical Resources using Conditional Random Fields