This study aims to develop a new computing method for extracting contiguous phraseological sequences (PSs) of various lengths from academic text corpora by measuring internal associations of n-grams. We construct a new normalizing algorithm of probability-weighted average for refining the MI measure and enhancing precision in extracting PSs from corpora. This computing method is applied to the data in a medium-sized text corpus of academic English. Results indicate that the resultant new MI measure can provide statistics which better reveal internal associations within an n-gram, regardless of size. Lexico-grammatical sequences extracted with this method are more complete and less arbitrary in terms of grammar and semantics. The method can be applied to treating a variety of linguistic phenomenon, ranging from well-established phrases to likely phrasal entities, thus having potentially practical applications in corpus-based studies of phraseology and natural language processing.
2024. Chunk Extraction in Business English Correspondences. In An MT-Oriented Study of Corresponding Lexical Chunks in Business Correspondences from English to Chinese, ► pp. 37 ff.
Zhou, Qihong & Li Mou
2024. A Corpus-Based Study of Lexical Chunks in Chinese Academic Discourse: Extraction, Classification, and Application. In Chinese Lexical Semantics [Lecture Notes in Computer Science, 14515], ► pp. 257 ff.
2020. Exploring Multi-Word Combinations as Measures of Linguistic Accuracy in Second Language Writing. In Learner Corpus Research Meets Second Language Acquisition, ► pp. 96 ff.
Chen, Alvin Cheng‐Hsien
2019. Assessing Phraseological Development in Word Sequences of Variable Lengths in Second Language Texts Using Directional Association Measures. Language Learning 69:2 ► pp. 440 ff.
García Salido, Marcos, Marcos Garcia & Margarita Alonso-Ramos
2019. Identifying Lexical Bundles for an Academic Writing Assistant in Spanish. In Computational and Corpus-Based Phraseology [Lecture Notes in Computer Science, 11755], ► pp. 144 ff.
2017. Computational learning of construction grammars. Language and Cognition 9:2 ► pp. 254 ff.
Jeaco, Stephen
2017. Helping Language Learners Put Concordance Data in Context. International Journal of Computer-Assisted Language Learning and Teaching 7:2 ► pp. 22 ff.
Jeaco, Stephen
2020. Helping Language Learners Put Concordance Data in Context. In Language Learning and Literacy, ► pp. 71 ff.
Yoon, Hyung-Jo
2016. Association strength of verb-noun combinations in experienced NS and less experienced NNS writing: Longitudinal and cross-sectional findings. Journal of Second Language Writing 34 ► pp. 42 ff.
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