From the above diagrams and descriptions, we can see the relationship between all of these terms about similarity and difference. But where it becomes confusing is with the terms that are in themselves similar! Three of the terms are completely prescriptive, with no ambiguity in their meaning: ...
Using two different similarity metrics (BLEU and Levenshtein edit distance), we found out that automatic translations are closer to each ot her than they are to manual translations. We also use phylogenetic trees to provide a visual representation of the distances between pairs of individual ...
However, because nonsense words, like real words, show some kind of systematic relationship between detail in production and lexical similarity neighborhoods, the differences in phonetic implementation must not be encoded directly in the representation, as nonwords have no long-term representations. ...
For the quantitative analysis, we used four Coh-Metrix measures of syntactic features: sentence length, sentence similarity across paragraphs, left embeddedness, number of modifiers per noun clause. The mean scores of left embeddedness (M = 3.86; SD = 1.64) and number of modifiers per ...
The results also demonstrate that the similarity between the hanzi and kanji characters provides a positive effect for translating technical terms. 展开 关键词: bilingual lexicon statistical machine translation pivot anguage han characters hanzi kanji ...
The Samburu dialect is closelyrelatedto Camus dialect (88% to 94%lexicalsimilarity) and to the South Maasai dialects (77% to 89%lexicalsimilarity). WikiMatrix Lexical reorientation, according to Matras, is defined as "the conscious shifting of the linguistic field that is responsible for encoding...
The orthographic Levenshtein distance for a character is the average number of pixels that differ between that character and its 20 closest neighbors. Phonological neighborhood density has been shown to influence lexical processing as well. Lexical decision latencies in English, for instance, are ...
It does so by: (1) exploring the similarity of our measures to some of the most commonly used consistency measures previously published in the literature; (2) assessing how well our measures explain naming and lexical decision data from the English Lexicon Project (ELP; Balota et al., ...
Lexical similarity in visual word recognition: The effect of syllabic neighborhood in French. One further proof of the reliability of this finding is that the inhibitory effect of syllable frequency has been replicated in other languages (e.g., French: =-=Mathey & Zagar, 2002-=-; German: Con...
Our primary goal was to determine whether lexical similarity between the L1 and L2 plays a role in the efficiency of word access, especially for false friends, but the study allowed us to further test all our predictions with a separate group of bilingual children. General discussion Balanced ...