This paper compares several methods (MI,T-score, Dice) for the extraction of collocations and presents a new method called Gravity Counts. The respective methods are evaluated and compared, measuring the combinability and collocability for each pair of words within the moving span of three words in the corpus of “The Times” newspaper for the year 1995. The collocability of words is the basis for detection of the collocational chains, i.e. frequent recurrent uninterrupted strings of word-forms, with clear-cut boundaries, found in the corpus. Collocational chains obtained with the help of different methods are compared and their lexical, grammatical and semantic features discussed.
2020. Analyzing Co-occurrence Data. In A Practical Handbook of Corpus Linguistics, ► pp. 141 ff.
Siyanova‐Chanturia, Anna & Stefania Spina
2020. Multi‐Word Expressions in Second Language Writing: A Large‐Scale Longitudinal Learner Corpus Study. Language Learning 70:2 ► pp. 420 ff.
Kochetkova, Nataliya, Ekaterina Pronoza & Elena Yagunova
2018. News Headline as a Form of News Text Compression. In Social Informatics [Lecture Notes in Computer Science, 11186], ► pp. 139 ff.
Schneider, Ulrike
2018. ΔP as a measure of collocation strength. Corpus Linguistics and Linguistic Theory 0:0
Wahl, Alexander & Stefan Th. Gries
2018. Multi-word Expressions: A Novel Computational Approach to Their Bottom-Up Statistical Extraction. In Lexical Collocation Analysis [Quantitative Methods in the Humanities and Social Sciences, ], ► pp. 85 ff.
2017. Frequency Consolidation Among Word N-Grams. In Computational and Corpus-Based Phraseology [Lecture Notes in Computer Science, 10596], ► pp. 432 ff.
DUNN, JONATHAN
2017. Computational learning of construction grammars. Language and Cognition 9:2 ► pp. 254 ff.
2017. Reading Comprehension of Natural Language Instructions by Robots. In Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation [Communications in Computer and Information Science, 716], ► pp. 288 ff.
Matsuno, Kazuko
2017. Processing collocations: Do native speakers and second language learners simultaneously access prefabricated patterns and each single word?. Journal of the European Second Language Association 1:1 ► pp. 61 ff.
2013. Semi-supervised Learning of Action Ontology from Domain-Specific Corpora. In Information and Software Technologies [Communications in Computer and Information Science, 403], ► pp. 173 ff.
2014. Ontology Learning in Practice. In E-Learning as a Socio-Cultural System [Advances in Educational Technologies and Instructional Design, ], ► pp. 158 ff.
Mukherjee, Joybrato & Marco Schilk
2012. Exploring variation and change in New Englishes: Looking into the International Corpus of English (ICE) and beyond. In The Oxford Handbook of the History of English, ► pp. 189 ff.
Spina, Stefania & Elena Tanganelli
2012. Les collocations comme indice pour distinguer les genres textuels. Corpus :11
Theijssen, Daphne, Lou Boves, Hans van Halteren & Nelleke Oostdijk
2012. Evaluating automatic annotation: automatically detecting and enriching instances of the dative alternation. Language Resources and Evaluation 46:4 ► pp. 565 ff.
Daudaravicius, Vidas
2010. The Influence of Collocation Segmentation and Top 10 Items to Keyword Assignment Performance. In Computational Linguistics and Intelligent Text Processing [Lecture Notes in Computer Science, 6008], ► pp. 648 ff.
Daudaravicius, Vidas
2016. A Framework for Keyphrase Extraction from Scientific Journals. In Semantics, Analytics, Visualization. Enhancing Scholarly Data [Lecture Notes in Computer Science, 9792], ► pp. 51 ff.
EunJooLee
2008. An analysis of corpus-based research on TEFL and applied linguistics.. English Teaching 63:2 ► pp. 283 ff.
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