Balancing up Efficiency and Accuracy in Translation Retrieval.

Abstract

This research looks at the effects of segment order and segmentation on translation retrieval performance for an experimental Japanese-English translation memory system. We implement a number of both bag-of-words and segment order-sensitive string comparison methods, and test each over character-based and word-based indexing. The translation retrieval performance of each system configuration is evaluated empirically through the notion of segment edit distance between the translation output and model translation.Our results indicate that character-based indexing is consistently superior to word-based indexing in terms of raw accuracy, although segmentation does have an accelerating effect on TM search times in combination with a number of retrieval optimisation techniques. Segment order-sensitive approaches are demonstrated to generally outperform bag-of-words methods, with 3-operation edit distance proving the most effective comparison method. We additionally reproduced the same basic results over alphabetised data as for lexically differentiated data containing kanji characters.

Equivalence Problems in the Translation of Student Translators

“…The deletion-related equivalence problem found in the translation of the student translators can also be seen in (8). (8) means that Machu Picchu is one of the few major pre-Columbian ruins found nearly intact; however, the TT means that Machu Picchu is the only major pre-Columbian ruin, showing that the meaning contained in the ST is partially deleted in the TT. Such deletion influences the TL readers' understanding of the pre-Columbian ruins found nearly intact.…”

“…In addition, componential analysis is helpful to bridge the gap for culture differences [7]. In addition to human translation, other studies have also been conducted to examine the accuracy of translation performed by translation machines ( [8]; [9]; [10]). They found that, despite their small number of weaknesses, translation machines are helpful in achieving accuracy in translation.…”

Strategies in Solving Equivalent-related Problems in Translation: Implications to Cross-cultural Understanding

“…In addition, componential analysis is helpful to bridge the gap for culture differences (Chen-Chen & Jin-Zhu, 2016). In addition to human translation, other studies have also been conducted to examine the accuracy of translation performed by translation machines (Baldwin & Tanaka, 2001;Aiken et al, 2009;Aiken & Bal-an, 2011). They found that, despite their small number of weaknesses, translation machines are helpful in achieving accuracy in translation.…”