Search Results for "corpus"
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Showing 5 open source projects for "corpus"
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching... -
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Arabic Named Entity Gazetteer
Arabic Named Entity Gazetteer
...This gazetteer is compiled using an xml tags such as <class_name>Arabic Named Entity</class_name>. Each line has an Arabic entity (UTF-8 encoding). This release of WikiFANE_Gazet consists of 68343 entities categorised into 50 classes. To use this corpus, please cite the following publication: F. Alotaibi and M. Lee, "Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia", In Proceedings of IJCNLP, p392-400. Nagoya, Japan, October, 2013. Author URL: http://www.cs.bham.ac.uk/~fsa081/index.html http://fsalotaibi.kau.edu.sa Email: fsalotaibi {AT} kau.edu.sa fsa081 {AT} cs.bham.ac.uk -
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nardino1513
Latin texts from 1513: XML edition and XQueries
A TEI XML edition of a small corpus of Latin texts written in Dalmatian city of Zadar (today in Croatia, then under Venice rule) by two humanist teachers. The edition is accompanied by XQueries designed to discover interesting features of the corpus. Queries can be reproduced with an XML database (BaseX, eXist). -
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CorpusSearch finds syntactic structures in a corpus of annotated sentence trees. It can be used as a research tool on a corpus, or as a development tool for building the corpus.
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Kura is a complete, professional system for the handling of linguistic data, especially fieldwork data from small-corpus languages. It allows users to enter texts in any language and analyze those texts
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