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Semantics and world knowledge in MT

What it is about

A position statement for a seminar. The author shows that even simple newspaper paragraphs need more than syntax to translate: knowledge about the world, inference, and what he calls preference rules, which choose between readings that are all grammatical. The problems he names are word sense ambiguity, case structure and pronoun reference. He describes a small English-to-French system that reads paragraphs and translates them through an interlingua of deep meaning structures with inference rules, and he argues for a middle path between brute-force systems and fully knowledge-based ones. The text is short and gives no numbers.

Ideas

For Mova

The preference rule is the nearest idea to a world-level choice in prag and world, and it can be built from counts rather than hand rules. The pronoun link is part of the function-word and boundary work in the translator's ranked problems. The recorded inference is in line with the transparency rule of Mova. The paper gives no evaluation, so each idea has to be measured against the Bible pairs first.

Topics: Machine translation

Cite

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

@inproceedings{wilks1976semantics,
  title = {{Semantics and world knowledge in MT}},
  author = {Wilks, Yorick},
  booktitle = {Foreign Broadcast Information Service Seminar on Machine Translation},
  year = {1976},
  url = {https://aclanthology.org/1976.earlymt-1.20/}
}

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