Matches in SemOpenAlex for { <https://semopenalex.org/work/W1996248048> ?p ?o ?g. }
- W1996248048 abstract "Cognates are words in different languages that have similar spelling and meaning. The identification of cognates is very useful for many different Natural Language Processing tasks, and also in the process of learning a second language. This paper presents a new approach to classify pairs of words into cognates/false friends or not related classes. The proposed approach uses a fuzzy system to combine complementary string similarity measures in order to improve the cognate identification task. The underlying hypothesis is that the combination of different string measures by applying heuristic knowledge, can outperform those measures working separately. The results obtained by the proposed system confirm the previous hypothesis, and furthermore it also outperforms other systems that combine string measures by using a supervised approach. As an additional contribution, we have created a bilingual test data set which include pairs of cognates, false friends and unrelated words in Spanish and English, that is freely available for research purposes." @default.
- W1996248048 created "2016-06-24" @default.
- W1996248048 creator A5042675695 @default.
- W1996248048 creator A5046586196 @default.
- W1996248048 creator A5062411541 @default.
- W1996248048 creator A5080577159 @default.
- W1996248048 date "2012-06-01" @default.
- W1996248048 modified "2023-10-05" @default.
- W1996248048 title "Automatic cognate identification based on a fuzzy combination of string similarity measures" @default.
- W1996248048 cites W1497763703 @default.
- W1996248048 cites W1518614801 @default.
- W1996248048 cites W1526729636 @default.
- W1996248048 cites W1543107604 @default.
- W1996248048 cites W1569123402 @default.
- W1996248048 cites W1646278814 @default.
- W1996248048 cites W1647671624 @default.
- W1996248048 cites W1965438265 @default.
- W1996248048 cites W1966486562 @default.
- W1996248048 cites W1971446828 @default.
- W1996248048 cites W1980219648 @default.
- W1996248048 cites W1989842645 @default.
- W1996248048 cites W2005254050 @default.
- W1996248048 cites W2016004628 @default.
- W1996248048 cites W2022564164 @default.
- W1996248048 cites W2035121712 @default.
- W1996248048 cites W2077811574 @default.
- W1996248048 cites W2084413241 @default.
- W1996248048 cites W2091889711 @default.
- W1996248048 cites W2096166399 @default.
- W1996248048 cites W2116611851 @default.
- W1996248048 cites W2121415745 @default.
- W1996248048 cites W2122672490 @default.
- W1996248048 cites W2125257703 @default.
- W1996248048 cites W2130915832 @default.
- W1996248048 cites W2133990480 @default.
- W1996248048 cites W2138247936 @default.
- W1996248048 cites W2149823587 @default.
- W1996248048 cites W2157041604 @default.
- W1996248048 cites W2157134953 @default.
- W1996248048 cites W2163993443 @default.
- W1996248048 cites W2165612380 @default.
- W1996248048 cites W2169948249 @default.
- W1996248048 cites W2176198960 @default.
- W1996248048 cites W2745750801 @default.
- W1996248048 cites W2785479738 @default.
- W1996248048 cites W2808488628 @default.
- W1996248048 cites W3092181144 @default.
- W1996248048 cites W3104029765 @default.
- W1996248048 doi "https://doi.org/10.1109/fuzz-ieee.2012.6250802" @default.
- W1996248048 hasPublicationYear "2012" @default.
- W1996248048 type Work @default.
- W1996248048 sameAs 1996248048 @default.
- W1996248048 citedByCount "2" @default.
- W1996248048 countsByYear W19962480482013 @default.
- W1996248048 countsByYear W19962480482019 @default.
- W1996248048 crossrefType "proceedings-article" @default.
- W1996248048 hasAuthorship W1996248048A5042675695 @default.
- W1996248048 hasAuthorship W1996248048A5046586196 @default.
- W1996248048 hasAuthorship W1996248048A5062411541 @default.
- W1996248048 hasAuthorship W1996248048A5080577159 @default.
- W1996248048 hasBestOaLocation W19962480482 @default.
- W1996248048 hasConcept C103278499 @default.
- W1996248048 hasConcept C115961682 @default.
- W1996248048 hasConcept C116834253 @default.
- W1996248048 hasConcept C129792486 @default.
- W1996248048 hasConcept C130318100 @default.
- W1996248048 hasConcept C138885662 @default.
- W1996248048 hasConcept C154945302 @default.
- W1996248048 hasConcept C157486923 @default.
- W1996248048 hasConcept C162324750 @default.
- W1996248048 hasConcept C173801870 @default.
- W1996248048 hasConcept C177264268 @default.
- W1996248048 hasConcept C187736073 @default.
- W1996248048 hasConcept C195324797 @default.
- W1996248048 hasConcept C199360897 @default.
- W1996248048 hasConcept C204321447 @default.
- W1996248048 hasConcept C22820288 @default.
- W1996248048 hasConcept C2777392089 @default.
- W1996248048 hasConcept C2780451532 @default.
- W1996248048 hasConcept C32610155 @default.
- W1996248048 hasConcept C33923547 @default.
- W1996248048 hasConcept C37914503 @default.
- W1996248048 hasConcept C41008148 @default.
- W1996248048 hasConcept C41895202 @default.
- W1996248048 hasConcept C58166 @default.
- W1996248048 hasConcept C59822182 @default.
- W1996248048 hasConcept C68859911 @default.
- W1996248048 hasConcept C7757238 @default.
- W1996248048 hasConcept C86803240 @default.
- W1996248048 hasConceptScore W1996248048C103278499 @default.
- W1996248048 hasConceptScore W1996248048C115961682 @default.
- W1996248048 hasConceptScore W1996248048C116834253 @default.
- W1996248048 hasConceptScore W1996248048C129792486 @default.
- W1996248048 hasConceptScore W1996248048C130318100 @default.
- W1996248048 hasConceptScore W1996248048C138885662 @default.
- W1996248048 hasConceptScore W1996248048C154945302 @default.
- W1996248048 hasConceptScore W1996248048C157486923 @default.
- W1996248048 hasConceptScore W1996248048C162324750 @default.
- W1996248048 hasConceptScore W1996248048C173801870 @default.
- W1996248048 hasConceptScore W1996248048C177264268 @default.