AnnCorra: Building Tree-banks in Indian Languages
نویسندگان
چکیده
This paper describes a dependency based tagging scheme for creating tree banks for Indian languages. The scheme has been so designed that it is comprehensive, easy to use with linear notation and economical in typing effort. It is based on Paninian grammatical model. 1.BACKGROUND The name AnnCorra, shortened for "Annotated Corpora", is for an electronic lexical resource of annotated corpora. The purpose behind this effort is to fill the lacuna in such resources for Indian languages. It will be an important resource for the development of Indian language parsers, machine learning of grammars, lakshancharts (discrimination nets for sense disambiguation) and a host of other such tools. 2. AIMS AND OBJECTIVE The aim of the project is to : develop a generalised linear syntactosemantic tag scheme for all Indian languages annotate training corpus for all Indian languages develop parallel tree-banks for all Indian languages To fulfill the above aim a marathon task a collaborative model has been concieved. Any collaborative model implies involvement of several people with varying levels of expertise. This case, becomes further complicated as the tag scheme to be designed has to be equally efficient for all the Indian languages. These languages, though quite similar, are not identical in their syntactic structures. Thus the tag scheme demands the following properties :comprehensive enough to capture various sysntactic relations across languages. simple enough for anyone, with some background in linguistics, to use. economical in typing effort (the corpus has to be manually annotated). 3. AN ILLUSTRATION The task can be better understood with the help of an illustration. Look at the following sentence from Hindi 0:: rAma ne moHana ko 'Rama' 'ErgPostP' 'Mohan' 'PostP' nIlI kitAba dI 'blue' 'book' 'gave' 'Rama gave the blue book to Mohan.' Tree-1 is a representation of the above verb, argument relationship within the various constituents of sentence 0 dI ------------------------| | | k1 | k4| k2| | | | rAma_ne moHana_ko kitAba | |nmod | nIlI
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