TransAhead: a computer-assisted translation and writing tool

Authors:
Chung-chi Huang;Ping-che Yang;Keh-jiann Chen;Jason S. Chang
Affiliations:
ISA, NTHU, HsinChu, Taiwan, R. O. C.;III, Taipei, Taiwan, R. O. C.;IIS, Academia Sinica, Taipei, Taiwan, R. O. C.;CS, NTHU, HsinChu, Taiwan, R. O. C.
Venue:
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Year:
2012

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Abstract

We introduce a method for learning to predict text completion given a source text and partial translation. In our approach, predictions are offered aimed at alleviating users' burden on lexical and grammar choices, and improving productivity. The method involves learning syntax-based phraseology and translation equivalents. At run-time, the source and its translation prefix are sliced into ngrams to generate and rank completion candidates, which are then displayed to users. We present a prototype writing assistant, TransAhead, that applies the method to computer-assisted translation and language learning. The preliminary results show that the method has great potentials in CAT and CALL with significant improvement in translation quality across users.