Project MorphZord Replications

This webpage contains R scripts and data tables for replication studies conducted in conjunction with Project MorphZord. These scripts and data tables are publicly available can be downloaded freely. The first two data files go with the Carl and Schaeffer (2017) R script, and the last data file goes with the Ogawa et al. (2021) R script.

Project MorphZord is an ongoing research project conducted by Devin Gilbert, Cristina Toledo-Báez, Michael Carl, and Haydeé Espino. One of the main goals of this project is to determine how different word-alignment methodologies impact results derived from CRITT TPR-DB data, especially results relating to word translation entropy. There is a forthcoming publication on this exact subject titled 'Impact of Word Alignment on Word Translation Entropy and Other Metrics: A Comparison of Translation Process Research Findings Derived from Different Word Alignment Methods', to be published in (title TBD).

Much of this publication details studies we conducted where we replicate past findings with the CRITT TPR-DB "BML12" dataset but with multiple sets of word alignments. Creating different word alignments (both manual and automatic) made it so we could determine the effect of word alignment on translation process research findings. References for the two studies we replicated are provided below. For more details on Project MorphZord research, please look for the above mentioned publication by Gilbert et al. or contact Devin Gilbert: dg@devrobgilb.com.

Carl, Michael, and Moritz Jonas Schaeffer. 2017. “Why Translation Is Difficult: A Corpus-Based Study of Non-Literality in Post-Editing and From-Scratch Translation.” HERMES - Journal of Language and Communication in Business, no. 56 (October): 43–57. https://doi.org/10.7146/hjlcb.v0i56.97201.

Ogawa, Haruka, Devin Gilbert, and Samar A. Almazroei. 2021. “redBird: Rendering Entropy Data and ST-Based Information Into a Rich Discourse on Translation: Investigating Relationships between MT Output and Human Translation.” In Explorations in Empirical Translation Process Research, ed. by Michael Carl, PAGE NUMBERS TBD. Machine Translation: Technologies and Applications. Springer.