In this paper, we introduce the annotation process of the Air Travel Information Systems (ATIS) Dataset as a parallel treebank in English and in Turkish. The ATIS Dataset was originally compiled as pilot data to measure the efficiency of Spoken Language Systems and it comprises human speech transcriptions of people asking for flight information on the automated inquiry systems. Our first annotated treebank, which is in English, includes 61.879 tokens (5.432 sentences) while the second treebank, which was translated into Turkish, contains 45.875 tokens for the same amount of sentences. First, both treebanks were morphologically annotated through a semi-automatic process. Later, the dependency annotations were performed by a team of linguists according to the Universal Dependencies (UD) guidelines. These two parallel annotated treebanks provide a valuable contribution to language resources thanks to the spontaneous/spoken nature of the data and the availability of cross-linguistic dependency annotation.
Cesur et al. (Mon,) studied this question.