EMILLE, A 67-Million Word Corpus of Indic Languages: Data Collection, Mark-up and Harmonisation
By Paul Baker, Andrew Hardie, Tony McEnery, Hamish Cunningham, Robert J. Gaizauskas. 2002
76 citations recorded by the source corpus.
The paper describes developments to date on the EMILLE Project (Enabling Minority Language Engineering) being carried out at the Universities of Lancaster and Sheffield. EMILLE was established to construct a 67 million word corpus of South Asian languages. In addition to undertaking this corpus construction, the project has had to address a number of related issues in the context of establishing a language engineering (LE) environment for South Asian language processing, such as translating 8-bit language data into Unicode and producing a number of basic LE tools. The development of tools on EMILLE has contributed to the on-going development of the LE architecture GATE.
Subfields: Artificial Intelligence, Natural Language Processing, Evaluation & Benchmarks
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In Artificial Intelligence
- Philipp Koehn
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- Ondrej Bojar
- Kenneth Heafield
- Felix Stahlberg
- Barry Haddow
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In Natural Language Processing
- Philipp Koehn
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- Nadir Durrani
- Barry Haddow
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In Evaluation & Benchmarks
- Ondrej Bojar
- Barry Haddow
- Philipp Koehn
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- Kenneth Heafield
- Yvette Graham
- Lucia Specia
Citations in the corpus
- Edinburgh’s Phrase-based Machine Translation Systems for WMT-14 (2014, methodology): “We initially trained a Urdu-to-Hindi SMT sys-tem using a very tiny EMILLE 1 corpus (Baker et al., 2002).”
- HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation (2014, background): “This corpus (Baker et al., 2002) consists of three components: monolingual, parallel and annotated corpora.”
- Improving machine translation via triangulation and transliteration (2014, unknown): “Our baseline Urdu-to-Hindi system is built us-ing a small EMILLE corpus (Baker et al., 2002) which contain roughly 12000 sentences of Hindi and Urdu sentences which are not exactly parallel.”