Adapting SimpleNLG for Brazilian Portuguese realisation
By Rodrigo de Oliveira, Somayajulu Gowri Sripada. 2014
28 citations recorded by the source corpus.
This paper describes the ongoing implementation and the current coverage of SimpleNLG-BP, an adaptation of SimpleNLG-EnFr (Vaudry and Lapalme, 2013) for Brazilian Portuguese.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kees van Deemter
- Guanyi Chen
- Emiel Krahmer
- Chenghua Lin
- Albert Gatt
- Thiago Castro Ferreira
- Filip Jurvc'ivcek
- Ondrej Dusek
In Electrical and Electronic Engineering
- Filip Jurvc'ivcek
- Alessandro Mazzei
- Mariët Theune
- Ondrej Dusek
- Cristina Battaglino
- Cristina Bosco
- Ruud de Jong
In Natural Language Processing
- Kees van Deemter
- Guanyi Chen
- Chenghua Lin
- Filip Jurvc'ivcek
- Ondrej Dusek
- Emiel Krahmer
- Thiago Castro Ferreira
- Mariët Theune
Citations in the corpus
- Neural Generation for Czech: Data and Baselines (2019, methodology): “The procedural Sim-pleNLG realizer (Gatt and Reiter, 2009) has also been ported into multiple languages (Bollmann, 2011; Vaudry and Lapalme, 2013; de Oliveira and Sripada, 2014; Mazzei et al., 2016; Ramos-Soto et al., 2017; Cascallar-Fuentes et al., 2018; Chen et al., 2018; de Jong and Theune,…”
- Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, background): “…or ‘off the shelf’ modules (e.g., Kasper, 1989), something which has motivated the development of simple realisation engines which provide syntax and morphology apis, but leave choice-making up to the developer(Gatt et al., 2009; Vaudry & Lapalme, 2013; Bollmann, 2011; de Oliveira & Sripada, 2014).”
- Going Dutch: Creating SimpleNLG-NL (2018, methodology): “To accommodate making a choice in the trade-off between larger lexicons that take longer execution time and smaller lexicons that may miss required entries (cf. (De Oliveira and Sripada, 2014)), two smaller lexicons were generated based on subsets of the larger lexicon.”
- SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin (2018, background): “To date, the original English SimpleNLG has been adapted to German (Bollmann, 2011), French (Vaudry and Lapalme, 2013), Portuguese (De Oliveira and Sripada, 2014), Italian (Mazzei et al., 2016), Spanish (Soto et al., 2017), Filipino (Ong et al., 2011) and Telugu (Dokkara et al., 2015).”
- SimpleNLG-IT: adapting SimpleNLG to Italian (2016, methodology): “Similar to French and Brazilian Portuguese (de Oliveira and Sripada, 2014), Italian provides a morphophonological mechanism to contract the articles and the prepositions which are associated with them in prepositional articles.”
- Adapting SimpleNLG to Galician language (2018, background): “Some versions of this library have been created to support different languages: English-French (Vaudry and La-palme, 2013), Italian (Mazzei et al., 2016), Brazilian Portuguese (de Oliveira and Sripada, 2014), German (Bollmann, 2011) and English-Spanish (Ramos-Soto et al., 2017).”
- RDF2PT: Generating Brazilian Portuguese Texts from RDF Data (2018, methodology): “To this end, we perform this step by relying on a Brazilian adaptation of SimpleNLG (De Oliveira and Sripada, 2014).”