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Roots & patterns vs. stems plus grammar-lexis specifications: on what basis should a multilingual database centred on Arabic be built?

What it is about

The authors argue that a multilingual lexical database for Arabic machine translation should be stem-based: each entry is an actual lexeme with grammar-lexis specifications, such as the kinds of complement a verb takes, rather than a root-and-pattern database that generates stems. Their evidence is about size and fit. The Xerox analyser's roughly 90,000 stems, combined by rule, give about 72 million abstract word-forms, most of which do not occur; the stem-based DIINAR.1 database of about 130,000 lemmas gives about 6.2 million attested word-forms. Rule-generated lemmas carry little grammar-lexis information, and selection restrictions can only be stored at stem level: the verb qaraʾa does not take an enclitic plural pronoun for human objects. They keep the root as useful information for indexing, meaning and teaching, but not as the generator of word-forms.

Ideas

For Mova

I1 goes into The lexicon, with a link to complement selection in Syntax: the clause and the sentence. I2 and I3 are design checks for macula dict.

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@inproceedings{dichy2003roots,
  title = {{Roots \& patterns vs. stems plus grammar-lexis specifications: on what basis should a multilingual database centred on Arabic be built?}},
  author = {Dichy, Joseph and Farghaly, Ali},
  booktitle = {Workshop on Machine Translation for Semitic languages: issues and approaches},
  year = {2003},
  url = {https://aclanthology.org/2003.mtsummit-semit.5/}
}

References

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