Learning translation relationships among words
US7366654B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 13, 2006 |
| Grant date | Apr 29, 2008 |
| Priority date | — |
| Expiry date | Jan 13, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A parallel bilingual training corpus is parsed into its content words. Word association scores for each pair of content words consisting of a word of language L1 that occurs in a sentence aligned in the bilingual corpus to a sentence of language L2 in which the other word occurs. A pair of words is considered “linked” in a pair of aligned sentences if one of the words is the most highly associated, of all the words in its sentence, with the other word. The occurrence of compounds is hypothesized in the training data by identifying maximal, connected sets of linked words in each pair of aligned sentences in the processed and scored training data. Whenever one of these maximal, connected sets contains more than one word in either or both of the languages, the subset of the words in that language is hypothesized as a compound.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.