SimpleNLG-IT: adapting SimpleNLG to Italian

By Alessandro Mazzei, Cristina Battaglino, Cristina Bosco. 2016

41 citations recorded by the source corpus.

This paper describes the SimpleNLG-IT re-aliser, i.e. the main features of the porting of the SimpleNLG API system (Gatt and Reiter, 2009) to Italian. The paper gives some details about the grammar and the lexicon employed by the system and reports some results about a ﬁrst evaluation based on a dependency tree-bank for Italian. A comparison is developed with the previous projects developed for this task for English and French, which is based on the morpho-syntactical differences and similarities between Italian and these languages.

Subfields: Artificial Intelligence, Natural Language Processing

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Citations in the corpus

Neural Generation for Czech: Data and Baselines (2019, background): “…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, 2018).”
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation (2017, background): “, 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; Mazzei et al., 2016).”
SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin (2018, methodology): “Mazzei et al. (2016) tested the coverage and scalability of their system by automatically mapping 20 dependency trees from the Universal Dependency corpus.”
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data (2018, methodology): “To this end, we will exploit the similarity among their syntaxes in the micro-planning task and we will reuse their respective SimpleNLG versions (Mazzei et al., 2016; Bollmann, 2011; Vaudry and Lapalme, 2013; Ramos-Soto et al., 2017) for the realization task.”
Going Dutch: Creating SimpleNLG-NL (2018, methodology): “other than English, such as German (Bollmann, 2011), Brazilian-Portuguese (De Oliveira and Sripada, 2014) and Italian (Mazzei et al., 2016).”
Enriching the WebNLG corpus (2018, background): “…an emerging theme in NLG research community – see, for instance, the increased availability of SimpleNLG tools to languages other than English (Mazzei et al., 2016; Bollmann, 2011; Vaudry and Lapalme, 2013; Ramos-Soto et al., 2017) and the recent Multilingual Surface Real-ization task…”
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).”
Using NLG for speech synthesis of mathematical sentences (2019, methodology): “In Section 5.1 we will give some details on the rule-based sentence planner designed for managing mathematical sentences and in Section 5.2 we will describe the use of the SimpleNLG-it realizer (Mazzei et al., 2016) for the case of mathematical domain.”