The final decade has visible computational implementations of huge home made usual language grammars in formal frameworks comparable to Tree-Adjoining Grammar (TAG), Combinatory specific Grammar (CCG), Head-driven word constitution Grammar (HPSG), and Lexical useful Grammar (LFG). Grammars in those frameworks usually affiliate linguistically prompted wealthy descriptions (Supertags) with phrases. With the provision of parse-annotated corpora, grammars within the TAG and CCG frameworks have additionally been immediately extracted whereas retaining the linguistic relevance of the extracted Supertags. In those frameworks, Supertags are designed in order that complicated linguistic constraints are localized to function in the area of these descriptions. whereas this localization raises neighborhood ambiguity, the method of disambiguation (Supertagging) presents a special method of mixing linguistic and statistical info. This quantity investigates the subject matter of using statistical techniques with linguistically prompted representations and its impression on common Language Processing initiatives. particularly, the participants describe learn during which phrases are linked to Supertags which are the primitives of alternative grammar formalisms together with Lexicalized Tree-Adjoining Grammar (LTAG). ContributorsJens Bäcker, Srinivas Bangalore, Akshar Bharati, Pierre Boullier, Tomas by means of, John Chen, Stephen Clark, Berthold Crysmann, James R. Curran, Kilian Foth, Robert Frank, Karin Harbusch, Saša Hasan, Aravind Joshi,Vincenzo Lombardo, Takuya Matsuzaki, Alessandro Mazzei, Wolfgang Menzel, Yusuke Miyao, Richard Moot, Alexis Nasr, Günter Neumann, Martha Palmer, Owen Rambow, Rajeev Sangal, Anoop Sarkar, Giorgio Satta, Libin Shen, Patrick Sturt, Jun'ichi Tsujii, ok. Vijay-Shanker, Wen Wang, Fei Xia