Xiaofei Lu
List of John Benjamins publications for which Xiaofei Lu plays a role.
Journal
ISSN 2215-1478 | E-ISSN 2215-1486
Articles
2019. Chapter 12. Linguistic metaphor identification in Chinese. Metaphor Identification in Multiple Languages: MIPVU around the world, Nacey, Susan, Aletta G. Dorst, Tina Krennmayr and W. Gudrun Reijnierse (eds.), pp. 247–265
Chapter
2018. Investigating effects of criterial consistency, the diversity dimension, and threshold variation in formulaic language research: Extending the methodological considerations of O’Donnell et al. (2013). International Journal of Corpus Linguistics 23:2, pp. 158–182
O’Donnell et al. (2013) considered four measures of formulaicity and reported that they produced different results concerning the effects of expertise and first/second language status on formulaic sequence usage in academic writing. The current study explores several additional methodological… read more | Article
2015. Automatic analysis of thematic structure in written English. International Journal of Corpus Linguistics 20:1, pp. 81–101
This paper proposes and describes a computational system for the automatic analysis of thematic structure, as defined in Systemic Functional Linguistics, in written English. The system takes an English text as input and produces as output an analysis of the thematic structure of each sentence in… read more | Article
2014. Lexical difficulty and diversity of American elementary school reading textbooks: Changes over the past century. International Journal of Corpus Linguistics 19:1, pp. 94–117
Article
2013. A corpus-based comparison of syntactic complexity in NNS and NS university students’ writing. Automatic Treatment and Analysis of Learner Corpus Data, Díaz-Negrillo, Ana, Nicolas Ballier and Paul Thompson (eds.), pp. 249–264
This paper reports on a corpus-based comparison of syntactic complexity in NNS and NS university students’ writing. We analysed 600 essays from the Written English Corpus of Chinese Learners and the Louvain Corpus of Native English Essays using 10 syntactic complexity measures to investigate… read more | Article
2010. Review of Xiao, Rayson & McEnery (2009): A Frequency Dictionary of Mandarin Chinese: Core Vocabulary for Learners. Chinese Language and Discourse 1:1, pp. 125–129
Review
2010. Automatic analysis of syntactic complexity in second language writing. International Journal of Corpus Linguistics 15:4, pp. 474–496
We describe a computational system for automatic analysis of syntactic complexity in second language writing using fourteen different measures that have been explored or proposed in studies of second language development. The system takes a written language sample as input and produces fourteen… read more | Article
2009. Automatic measurement of syntactic complexity in child language acquisition. International Journal of Corpus Linguistics 14:1, pp. 3–28
We describe a heuristics-based system for automatic measurement of syntactic complexity using the revised Developmental Level (D-Level) scale (Rosenberg & Abbeduto 1987; Covington et al. 2006). The system takes a raw sentence as input and assigns it to an appropriate developmental level on the… read more | Article
2008. Hybrid models for sense guessing of Chinese unknown words. International Journal of Corpus Linguistics 13:1, pp. 99–128
This paper addresses the problem of classifying Chinese unknown words into fine-grained semantic categories defined in a Chinese thesaurus, Cilin (Mei et al. 1984). We present three novel knowledge-based models that capture the relationship between the semantic categories of an unknown word and… read more | Article
2008. Improving part-of-speech guessing of Chinese unknown words using hybrid models. International Journal of Corpus Linguistics 13:2, pp. 169–193
This paper presents a hybrid model for part-of-speech (POS) guessing of Chinese unknown words. Most previous studies on this task have developed a unified statistical model for all Chinese unknown words and have rejected rule-based models without testing. We argue that models that use different… read more | Article