In order to circumvent the data scarcity issue, in this paper we propose the use of linguisticallymotivated synthetically generated CM data (as a supplement to real CM data) for development of CM NLP systems.
we use the Equivalence Constraint Theory (Poplack, 1980;Sankoff, 1998) for generating linguistically valid CM sentences from a pair of parallel sentences in the two languages.