Matches in SemOpenAlex for { <https://semopenalex.org/work/W125496762> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W125496762 abstract "We present two problems for statistically extracting bilingual lexicon: (1) How can noisy parallel corpora be used? (2) How can non-parallel yet comparable corpora be used? We describe our own work and contribution in relaxing the constraint of using only clean parallel corpora. DKvec is a method for extracting bilingual lexicons, from noisy parallel corpora based on arrival distances of words in noisy parallel corpora. Using DKvec on noisy parallel corpora in English/Japanese and English/Chinese, our evaluations show a 55.35% precision from a small corpus and 89.93% precision from a larger corpus. Our major contribution is in the extraction of bilingual lexicon from non-parallel corpora. We present a first such result in this area, from a new method—Convec. Convec is based on context information of a word to be translated. Even though the accuracy for top translation candidate is about 30% for 3 months of English and Chinese newspaper material, we show a dramatic increase of accuracy when we use a larger evaluation corpus in English and French. We find a 75% precision for the top three candidate translation of 75 content words, on English Wall Street Journal and French European News from different years." @default.
- W125496762 created "2016-06-24" @default.
- W125496762 creator A5065856469 @default.
- W125496762 date "2000-01-01" @default.
- W125496762 modified "2023-09-23" @default.
- W125496762 title "A statistical view on bilingual lexicon extraction" @default.
- W125496762 cites W1576928919 @default.
- W125496762 cites W1977182536 @default.
- W125496762 cites W2075728986 @default.
- W125496762 cites W2111895154 @default.
- W125496762 cites W2117684761 @default.
- W125496762 cites W2154384676 @default.
- W125496762 cites W3149550307 @default.
- W125496762 cites W4237192524 @default.
- W125496762 doi "https://doi.org/10.1007/978-94-017-2535-4_11" @default.
- W125496762 hasPublicationYear "2000" @default.
- W125496762 type Work @default.
- W125496762 sameAs 125496762 @default.
- W125496762 citedByCount "11" @default.
- W125496762 countsByYear W1254967622012 @default.
- W125496762 countsByYear W1254967622013 @default.
- W125496762 countsByYear W1254967622015 @default.
- W125496762 countsByYear W1254967622019 @default.
- W125496762 crossrefType "book-chapter" @default.
- W125496762 hasAuthorship W125496762A5065856469 @default.
- W125496762 hasConcept C104317684 @default.
- W125496762 hasConcept C105580179 @default.
- W125496762 hasConcept C112698675 @default.
- W125496762 hasConcept C144133560 @default.
- W125496762 hasConcept C149364088 @default.
- W125496762 hasConcept C151730666 @default.
- W125496762 hasConcept C154945302 @default.
- W125496762 hasConcept C185592680 @default.
- W125496762 hasConcept C201280247 @default.
- W125496762 hasConcept C203005215 @default.
- W125496762 hasConcept C204321447 @default.
- W125496762 hasConcept C2778121359 @default.
- W125496762 hasConcept C2779343474 @default.
- W125496762 hasConcept C28490314 @default.
- W125496762 hasConcept C2985367798 @default.
- W125496762 hasConcept C41008148 @default.
- W125496762 hasConcept C55493867 @default.
- W125496762 hasConcept C86803240 @default.
- W125496762 hasConceptScore W125496762C104317684 @default.
- W125496762 hasConceptScore W125496762C105580179 @default.
- W125496762 hasConceptScore W125496762C112698675 @default.
- W125496762 hasConceptScore W125496762C144133560 @default.
- W125496762 hasConceptScore W125496762C149364088 @default.
- W125496762 hasConceptScore W125496762C151730666 @default.
- W125496762 hasConceptScore W125496762C154945302 @default.
- W125496762 hasConceptScore W125496762C185592680 @default.
- W125496762 hasConceptScore W125496762C201280247 @default.
- W125496762 hasConceptScore W125496762C203005215 @default.
- W125496762 hasConceptScore W125496762C204321447 @default.
- W125496762 hasConceptScore W125496762C2778121359 @default.
- W125496762 hasConceptScore W125496762C2779343474 @default.
- W125496762 hasConceptScore W125496762C28490314 @default.
- W125496762 hasConceptScore W125496762C2985367798 @default.
- W125496762 hasConceptScore W125496762C41008148 @default.
- W125496762 hasConceptScore W125496762C55493867 @default.
- W125496762 hasConceptScore W125496762C86803240 @default.
- W125496762 hasLocation W1254967621 @default.
- W125496762 hasOpenAccess W125496762 @default.
- W125496762 hasPrimaryLocation W1254967621 @default.
- W125496762 hasRelatedWork W1479719301 @default.
- W125496762 hasRelatedWork W152090050 @default.
- W125496762 hasRelatedWork W2102749417 @default.
- W125496762 hasRelatedWork W2106565308 @default.
- W125496762 hasRelatedWork W2118606687 @default.
- W125496762 hasRelatedWork W2233998645 @default.
- W125496762 hasRelatedWork W2250332852 @default.
- W125496762 hasRelatedWork W2251914791 @default.
- W125496762 hasRelatedWork W2383860274 @default.
- W125496762 hasRelatedWork W2468033056 @default.
- W125496762 hasRelatedWork W2500014740 @default.
- W125496762 hasRelatedWork W2599085705 @default.
- W125496762 hasRelatedWork W2760335859 @default.
- W125496762 hasRelatedWork W2772644762 @default.
- W125496762 hasRelatedWork W3204963350 @default.
- W125496762 hasRelatedWork W71111251 @default.
- W125496762 hasRelatedWork W91489440 @default.
- W125496762 hasRelatedWork W2028636005 @default.
- W125496762 hasRelatedWork W2524010971 @default.
- W125496762 hasRelatedWork W34279430 @default.
- W125496762 isParatext "false" @default.
- W125496762 isRetracted "false" @default.
- W125496762 magId "125496762" @default.
- W125496762 workType "book-chapter" @default.