Timur Gilmanov


The IUCL+ System: Word-Level Language Identification via Extended Markov Models
Levi King | Eric Baucom | Timur Gilmanov | Sandra Kübler | Dan Whyatt | Wolfgang Maier | Paul Rodrigues
Proceedings of the First Workshop on Computational Approaches to Code Switching

SWIFT Aligner, A Multifunctional Tool for Parallel Corpora: Visualization, Word Alignment, and (Morpho)-Syntactic Cross-Language Transfer
Timur Gilmanov | Olga Scrivner | Sandra Kübler
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

It is well known that word aligned parallel corpora are valuable linguistic resources. Since many factors affect automatic alignment quality, manual post-editing may be required in some applications. While there are several state-of-the-art word-aligners, such as GIZA++ and Berkeley, there is no simple visual tool that would enable correcting and editing aligned corpora of different formats. We have developed SWIFT Aligner, a free, portable software that allows for visual representation and editing of aligned corpora from several most commonly used formats: TALP, GIZA, and NAACL. In addition, our tool has incorporated part-of-speech and syntactic dependency transfer from an annotated source language into an unannotated target language, by means of word-alignment.