Cognates False Friends Identification of False Friends Parallel Corpus Cross-Lingual Semantic Similarity Web as a Corpus
Issue Date:
2009
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Serdica Journal of Computing, Vol. 3, No 2, (2009), 133p-158p
Abstract:
False friends are pairs of words in two languages that are perceived as
similar but have different meanings. We present an improved
algorithm for acquiring false friends from sentence-level aligned parallel corpus
based on statistical observations of words occurrences and co-occurrences
in the parallel sentences. The results are compared with an entirely semantic
measure for cross-lingual similarity between words based on using the Web
as a corpus through analyzing the words’ local contexts extracted from the
text snippets returned by searching in Google. The statistical and semantic
measures are further combined into an improved algorithm for identification
of false friends that achieves almost twice better results than previously
known algorithms. The evaluation is performed for identifying cognates
between Bulgarian and Russian but the proposed methods could be adopted
for other language pairs for which parallel corpora and bilingual glossaries
are available.