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SCIENTEXT: A Corpus of French & English Academic & Scientific Texts Alice Henderson (for the Scientext team) LLS research group– Université de Savoie Chambéry,

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Presentation on theme: "SCIENTEXT: A Corpus of French & English Academic & Scientific Texts Alice Henderson (for the Scientext team) LLS research group– Université de Savoie Chambéry,"— Presentation transcript:

1 SCIENTEXT: A Corpus of French & English Academic & Scientific Texts Alice Henderson (for the Scientext team) LLS research group– Université de Savoie Chambéry, France BAAL, University of Newcastlem September 3-5, 2009

2 English academic French Ecrits universitaires ss writing textbooks Ecrits de recherche articles theses = scientifique

3 Outline General overview of the Scientext project End product & applications Goals of the linguistic study Details of the corpus & tagging Presentation of the beta version

4 General Overview Project financed by the French ANR CORPUS ET OUTILS DE LA RECHERCHE EN SCIENCES HUMAINES ET SOCIALES (2007- 2010). Goals: Create a freely-available corpus of scientific & academic writing in French & English Devise tools for studying linguistic markers of stance/positioning AND reasoning Intended Users: Linguists, epistemologists, information retrieval specialists, scientists, language teachers. Long-Term Applications: L1 & FL/L2 teaching Lexicography & writing aids Information retrieval in scientific & technical fields

5 General Overview Draws on several branches of linguistics: Corpus linguistics: creation & study of a large corpus of scientific & academic texts Natural Language Processing: processing & study of a corpus using a syntactic dependency parser (Bourigaults Syntex). Traditional branches of linguistics: discourse analysis, lexicology, enunciation, syntax and semantics Projet coordinatedby LIDILEM research group (F. Grossmann, A. Tutin), 3 teams = multidisciplinary LIDILEM (Grenoble) : F. Grossmann, A. Tutin, F. Boch, C. Cavalla, O. Kraif, M. Florez, I. Novakova, M.L. Nguyen, F. Rinck. LLS (Chambéry) : J. Osborne, A. Henderson, R. Barr. LiCorN (Lorient) : G. Williams, H. Maury, C. Ropers.

6 General Overview Language teachers Corpus linguists Lexicographers Computational linguists

7 End Product & Applications 1) Web site with several ways of selecting sub- parts of texts. Query search (complex & simple) and text view Search for traces of stance/positioning and reasoning using local pre-established grammars Downloading of XML corpus (for authors who gave permission, Creative Commons) Downloading of search results (zip format, CSV format for statistics)

8 End Product & Applications 1) Website allowing selection of sub-parts of texts 2) Teaching applications for both L1 and L2 learners: research into university writing, second language production, etc. 3) Lexicographical applications including assistance with encoding strategies using reference corpora. 4) Targeted information retrieval in scientific and technical fields.

9 The Linguistic Study Focus on 2 essential features of the texts: Authors use stance to situate themselves in relation to previous and contemporary research whilst demonstrating what is specific to their work and the choices made. The intellectual process upon which findings and deductions are based can be revealed via the analysis of authorial reasoning. Test two hypotheses: Stance is expressed by a phraseology that is shared (partly? largely?) across fields This phraseology is more characteristic of genres than of fields

10 The Linguistic Study Distinguish between 3 main parameters: Field, Text genre (and sub-genres), Text section Scientific sub-genres Scientific articles Conference proceedings PhD theses, HDR Academic sub-genres (Learner corpus) 2 nd year English majors, Long Essays 3rd year English majors, Language Policy analyses

11 Details: French scientific corpus Articles & presentations ThesesHDRs Social sciences154328 Linguistics6684 Education6382 NLP881 Psychology1781 Natural sciences21100 Biology670 Medicine1530 Applied sciences081 Electronics040 Mechanical engineering041 TOTAL175509 234 texts (1997-2008), 5 million words

12 Details: English corpora Academic (learner) corpus (Chambery,1997- 2007) 1.1 million words, 300 texts, 4000-5000 words long Scientific corpus (Lorient, 33 million words hoovered from BMC Corpus of Biology and Medical Texts POS & lemmatised Theoretical analysis of meaning transfers for the analysis of diachronic & synchronic meaning changes in context through collocational resonance Creation of a bottom-up dictionary of verb patterns with corpus-driven thematic and conceptual groupings for NNS scientists

13 Corpus Tagging (French sci. + Eng academic/learner) XML format (Text Encoding Initiative) Tagged elements Header: Type of tagging, information about the text, availability of the text Text Structure (semi-automatic tagging): Identification of text sections: abstract, introduction, body of the text, conclusion, notes, references. Lay-out (when available): bold, italics, structure of lists Linguistic Tagging (automatic): Morpho-syntactic tagging & identification of syntactic dependencies (Bourigaults Syntex – 2007 version)

14 Outline General overview of the Scientext project End product & applications Goals of the linguistic study Details of the corpus & tagging Presentation of the beta version

15 Web site available on-line: Interface created by Achille Falaise, using the query language Concquest developed by Olivier Kraif (Université Grenoble 3)

16 Step1 : Choosing the field, genre, & text section (French scientific corpus)

17 Step 2 : Searching in the texts 3 search modes Simple interface, with scroll-menus and predefined values Complex query language, so grammars can be created/written Local grammars, involving stance/positioning or reasoning Example: grammar of scientific affiliation

18 Example of a simple query Selection of predicate adjectives used with the noun policy.

19 Examples of predefined searches Verbs of feeling: hate, love, feel, like, … Verbs of opinion: consider, think find, … Evaluative adjectives: true, great, important, best, new, right, …

20 Example of a complex query (advanced search) 1. Search for syntactic dependency + co-occurrence <>* :: (SUJ,#2,#1); Verbs which come after the lemma hypothèse, where hypothèse is the subject of the verb. 2. Search for a disjunction of lemmas + syntactic dependency && && :: (SUJ,#2,#1) AND (ADJ,#1,#3) ; The lemmas hypothèse, notion or concept functioning as subjects & accompanied by an adjective

21 Example of a local grammar (to write an advanced search) Using variables Re-defining a relation Ex : (ATTSUJ,#2,#1) = (ATTS,#3,#1) AND (SUJ,#3,#2)

22 Step 3 : Display KWIC display, can be customised

23 Displaying a wider context Display of a wider context

24 Displaying syntactic structure


26 Statistical calculations & display of results

27 Graphic display of results: we 2 nd Year: 728 occs.3 rd Year: 1607 occs.

28 Conclusion

29 Conclusion Project still running (through early 2010) Constitution of corpus & tagging : LONG … & fastidious Interface still being developed Linguistic model still needs finalising More grammars need to be developed Teaching materials need developing & piloting Issues: interface between lexis & rhetorical functions Future Research Linguistic study of markers : positioned citations markers of scientific affiliation Teaching materials need piloting & evaluating

30 Thank you!! (and please try it out)

31 Publications & resources linked to Scientext project Boch F., Grossmann F. (2002). Se référer au discours dautrui : quelques éléments de comparaison entre experts et néophytes. Lécrit dans lenseignement supérieur. Enjeux,:Brussels, pp41-51. Boch F., Grossmann F., Rinck (2007). Conformément à nos attentes... ou létude des marqueurs de convergence/divergence dans larticle scientifique. Revue Française de Linguistique Appliquée. Voll. XII-2, pp109-122. Bourigault D. (2007). SYNTEX, analyseur syntaxique opérationnel. Mémoire dhabilitation à diriger des recherches, Université Toulouse Le Mirail. Chavez I. (2008). La démarcation dans les écrits scientifiques - Les collocations transdisciplinaires comme aide à lécrit universitaire auprès des étudiants étrangers, Mémoire de Master 2 Français Langue Etrangère Recherche, C. Cavalla (supervisor), Université Stendhal-Grenoble3: Grenoble. Garcia P.P. (2008). Etude des marques de la filiation dans les écrits scientifiques. Master 1 thesis, Université Stendhal-Grenoble3:, F. Grossmann and A. Tutin (supervisors). Grossmann F., Tutin A. (2008). Evidential Markers in French Scientific Writing: the Case of the French Verb voir. Evidentiality Workshop, Bamberg, 27-29 February 2008. Henderson, A. & R. Barr (2009), Corpus-based L2 Writing Instruction : Raising Awareness of Authorial Stance, Journal of Writing Research, (forthcoming). Rinck, F. (2006). Larticle de recherche en Sciences du Langage et en Lettres, Figure de lauteur et approche disciplinaire du genre. Doctoral thesis, Sciences du Langage, F. Boch and F. Grossmann (supervisors), Université Stendhal-Grenoble3: Grenoble.

32 Rinck, F., Boch, F., Grossmann, F. (2007). Quelques lieux de variation du positionnement énonciatif dans larticle de recherche, in Lambert P., Millet A., Rispail, M.Trimaille C. (eds). Variations au coeur et aux marges de la sociolinguistique. LHarmattan, Espaces Discursifs, Paris. Tutin A. (2008). Evaluative adjectives in academic writings. Interpersonality in written academic discourse: perspectives across languages and cultures, 11-13 December, Zaragoza, Spain. Tutin A. (2007a) (ed) Lexique et écrits scientifiques. Revue Française de Linguistique Appliquée, volume XII-2, December 2007. Tutin, A. (2007b). Modélisation linguistique et annotation des collocations : application au lexique transdisciplinaire des écrits scientifiques, in S. Koeva, D. Maurel, M. Silberztein (eds). Formaliser les langues avec lordinateur. Presses universitaires de Franche-Comté: Besançon. Williams G & Millon C. (2009). The General and the Specific: Collocational resonance of scientific language. Proceedings Corpus Linguistics 2009, University of Liverpool. (forthcoming) Williams G & Millon C. (2009.) Les verbes et la science: la construction dun dictionnaire organique. Actes des Journées de la Linguistique de Corpus 2009. Texte et Corpus. (forthcoming) Williams G. (2008). Le Corpus et le dictionnaire dans les langues de spécialité, in Maniez et al (eds). Corpus et dictionnaires de langues de spécialité. Presses Universitaires de Grenoble, pp 135-151. Wiliams G. (2008) Verbs of Science and the Learners Dictionary. Proceedings Thirteenth EURALEX International CongressBarcelona, Spain. 15-19 July 2008, pp797-806.

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