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    <abstract>Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the user. This method, however, cannot deal with the common case where a set of different paradigms generate exactly the same set of inflected word forms, although with different inflection information attached. In this paper, we propose the use of an n-gram-based model of lexical categories and inflection information to select a single paradigm in cases where more than one paradigm generates the same set of word forms. Results obtained with a Spanish monolingual dictionary show that the correct paradigm is chosen for around 75% of the unknown words, thus making the resulting system (available under an open-source license) of valuable help to enlarge the monolingual dictionaries used in MT involving non-expert users without technical linguistic knowledge.</abstract>
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%0 Conference Proceedings
%T Choosing the correct paradigm for unknown words in rule-based machine translation systems
%A Sánchez-Cartagena, V. M.
%A Esplà-Gomis, M.
%A Sánchez-Martínez, F.
%A Pérez-Ortiz, J. A.
%Y España-Bonet, Cristina
%Y Ranta, Aarne
%S Proceedings of the Third International Workshop on Free/Open-Source Rule-Based Machine Translation
%D 2012
%8 jun 13 15
%C Gothenburg, Sweden
%F sanchez-cartagena-etal-2012-choosing
%X Previous work on an interactive system aimed at helping non-expert users to enlarge the monolingual dictionaries of rule-based machine translation (MT) systems worked by discarding those inflection paradigms that cannot generate a set of inflected word forms validated by the user. This method, however, cannot deal with the common case where a set of different paradigms generate exactly the same set of inflected word forms, although with different inflection information attached. In this paper, we propose the use of an n-gram-based model of lexical categories and inflection information to select a single paradigm in cases where more than one paradigm generates the same set of word forms. Results obtained with a Spanish monolingual dictionary show that the correct paradigm is chosen for around 75% of the unknown words, thus making the resulting system (available under an open-source license) of valuable help to enlarge the monolingual dictionaries used in MT involving non-expert users without technical linguistic knowledge.
%U https://aclanthology.org/2012.freeopmt-1.4
%P 27-40

Markdown (Informal)

[Choosing the correct paradigm for unknown words in rule-based machine translation systems](https://aclanthology.org/2012.freeopmt-1.4) (Sánchez-Cartagena et al., FreeOpMT 2012)

• Choosing the correct paradigm for unknown words in rule-based machine translation systems (Sánchez-Cartagena et al., FreeOpMT 2012)

ACL

• V. M. Sánchez-Cartagena, M. Esplà-Gomis, F. Sánchez-Martínez, and J. A. Pérez-Ortiz. 2012. Choosing the correct paradigm for unknown words in rule-based machine translation systems. In Proceedings of the Third International Workshop on Free/Open-Source Rule-Based Machine Translation, pages 27–40, Gothenburg, Sweden.