Designing spelling correctors for inflected languages using lexical transducers

Aldezabal, Izaskun; Alegria, Iñaki; Ansa, Olatz; Arriola, Jose Maria; Ezeiza, Nerea; Aduriz, Itziar; Costa, André Oliveira

doi:10.3115/977035.977078

Cited by 3 publications

(3 citation statements)

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“…However, the Basque corrector XUXEN (Agirre et al, 1992), and the spell checker for Turkish of Oflazer (1996), use a two-level morphological analyzer adapted from Koskenniemi (1994). XUXEN-II (Aldezabal et al, 1999) is based on finite-state transducers. SPELLER (de Haan & Oppenhuizen, 1994) is an intelligent tutoring system which uses phoneme-grapheme conversion rules to help Dutch-speaking learners of English to solve orthographic problems.…”

Section: Related Workmentioning

confidence: 99%

FipsOrtho: A spell checker for learners of French

L'haire

2007

ReCALL

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This paper presents FipsOrtho, a spell checker targeted at learners of French, and a corpus of learners’ errors which has been gathered to test the system and to get a sample of specific language learners’ errors. Spell checkers are a standard feature of many software products, however they are not designed for specific language learners’ errors. After a brief review of the state of the art, we describe the system’s architecture and interfaces. Then we describe our error typology and detail the techniques used to retrieve words and to order proposals appropriately: alphacode, phoneticization, ad-hoc, capitalization, apostrophe, and word separation error methods. Proposals are sorted by a score depending on the method(s) used to retrieve them, on the expected lexical category, gender, number and person, and on the string proximity with the unknown word. Then the test results are presented: a list of individual words containing errors was submitted to the alphacode and phoneticization methods; a corpus of authentic learners’ errors was gathered and analyzed. Finally we conclude the paper with some limitations of the system and ideas for future research.

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Section: Related Workmentioning

confidence: 99%

FipsOrtho: A spell checker for learners of French

L'haire

2007

ReCALL

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“…2 In some systems lemmas corresponding to unknown words are added to the lexicon in a previous step, but if we want to built a robust system this is not be acceptable.…”

Section: The Design Of the Morphological Analysermentioning

confidence: 99%

“…The main components developed are a general and robust morphological analyser/generator ) and a spelling checker/corrector for Basque named Xuxen (Aldezabal et al 1999). The analyser is a basic tool for current and future work on NLP of Basque, for example the lemmatiser/tagger Euslem (Ezeiza et al 1998), an Intranet search engine (Aizpurua et al 2000) or an assistant for versemaking (Arrieta et al 2000) These tools are implemented using lexical transducers.…”

Section: Introductionmentioning

confidence: 99%

Using Finite State Technology in Natural Language Processing of Basque

Alegria

Aranzabe

Ezeiza

et al. 2002

Implementation and Application of Automata

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Abstract. This paper describes the components used in the design and implementation of NLP tools for Basque. These components are based on finite state technology and are devoted to the morphological analysis of Basque, an agglutinative pre-Indo-European language. We think that our design can be interesting for the treatment of other languages. The main components developed are a general and robust morphological analyser/generator and a spelling checker/corrector for Basque named Xuxen. The analyser is a basic tool for current and future work on NLP of Basque, such as the lemmatiser/tagger Euslem, an Intranet search engine or an assistant for verse-making.

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