GF: A Multilingual Grammar Formalism

Ranta, Aarne

doi:10.1111/j.1749-818x.2009.00155.x

Cited by 7 publications

(2 citation statements)

References 37 publications

(55 reference statements)

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“…A computational grammar library for Sindhi (Perso-Arabic) in Grammatical Framework 4 (Ranta, 2009) was developed by Jherna Devi Oad (2012). This library has 44 categories, 190 functions and 360 lexical entries.…”

Section: Related Workmentioning

confidence: 99%

Developing language technology tools and resources for a resource-poor language: Sindhi

Motlani¹

2016

Proceedings of the NAACL Student Research Workshop

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Sindhi, an Indo-Aryan language with more than 75 million native speakers 1 is a resourcepoor language in terms of the availability of language technology tools and resources. In this thesis, we discuss the approaches taken to develop resources and tools for a resourcepoor language with special focus on Sindhi. The major contributions of this work include raw and annotated datasets, a POS Tagger, a Morphological Analyser, a Transliteration and a Machine Translation System.

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Section: Related Workmentioning

confidence: 99%

Developing language technology tools and resources for a resource-poor language: Sindhi

Motlani¹

2016

Proceedings of the NAACL Student Research Workshop

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“…The queries in natural language are automatically translated into SPARQL. The translation is based on three grammars that we developed in the Grammatical Framework [10], [11]: 1) one abstract grammar, derived from the Lela ontology; 2) one concrete grammar for the Romanian language 3) one concrete grammar for the SPARQL. First, the abstract grammar in figure 6 is based on the main concepts and roles of the Lela ontology.…”

Section: Languagementioning

confidence: 99%

LELA - A natural language processing system for Romanian tourism

Varga¹,

Miron²,

Roth³

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-This paper presents a commercial semantic-based system for the Romanian tourism. The Lela system exploits both open linked data from Romanian and international sources, and also proprietary databases in the tourism domain. We present the process of creating the linked data set, based on: i) engineering the LELA Romanian tourism ontology, and ii) populating the ontology by linking open data. The system also provides a natural language interface for the Romanian language. The queries are automatically translated into SPARQL based on a controlled vocabulary derived from the Lela ontology.

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Learning Domain-Specific Grammars from a Small Number of Examples

Lange

Ljunglöf

2021

Studies in Computational Intelligence

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In this paper we investigate the problem of grammar inference from a different perspective. The common approach is to try to infer a grammar directly from example sentences, which either requires a large training set or suffers from bad accuracy. We instead view it as a problem of grammar restriction or sub-grammar extraction. We start from a large-scale resource grammar and a small number of examples, and find a subgrammar that still covers all the examples. To do this we formulate the problem as a constraint satisfaction problem, and use an existing constraint solver to find the optimal grammar. We have made experiments with English, Finnish, German, Swedish and Spanish, which show that 10-20 examples are often sufficient to learn an interesting domain grammar. Possible applications include computer-assisted language learning, domainspecific dialogue systems, computer games, Q/A-systems, and others.

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GF: A Multilingual Grammar Formalism

Cited by 7 publications

References 37 publications

Developing language technology tools and resources for a resource-poor language: Sindhi

Developing language technology tools and resources for a resource-poor language: Sindhi

LELA - A natural language processing system for Romanian tourism

Learning Domain-Specific Grammars from a Small Number of Examples

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