Imageability ratings across languages

Metacognitive (Rending) Strategies Across Languages and Techniques

Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings

Recent studies in metaphor extraction across several languages (Broadwell et al., 2013; Strzalkowski et al., 2013) have shown that word imageability ratings are highly correlated with the presence of metaphors in text. Information about imageability of words can be obtained from the MRC Psycholinguistic Database (MRCPD) for English words and Léxico Informatizado del Español Programa (LEXESP) fo...

The Validation of MRCPD Cross-language Expansions on Imageability Ratings

In this article, we present a method to validate a multi-lingual (English, Spanish, Russian, and Farsi) corpus on imageability ratings automatically expanded from MRCPD (Liu et al., 2014). We employed the corpus (Brysbaert et al., 2014) on concreteness ratings for our English MRCPD+ validation because of lacking human assessed imageability ratings and high correlation between concreteness ratin...

Talker discrimination across languages

This study investigated the extent to which listeners are able to discriminate between bilingual talkers in three language pairs English-German, English-Finnish and English-Mandarin. Native English listeners were presented with two sentences spoken by bilingual talkers and were asked to judge whether they thought the sentences were spoken by the same person. Equal amounts of cross-language and ...

Entity Clustering Across Languages

Standard entity clustering systems commonly rely on mention (string) matching, syntactic features, and linguistic resources like English WordNet. When co-referent text mentions appear in different languages, these techniques cannot be easily applied. Consequently, we develop new methods for clustering text mentions across documents and languages simultaneously, producing cross-lingual entity cl...