Research Article
Explicitation in Generative AI Translation: A Comparative Analysis of ChatGPT and DeepSeek in Translating a Chinese Policy Text
Rui Sun*
Issue:
Volume 12, Issue 4, December 2026
Pages:
68-78
Received:
29 September 2026
Accepted:
14 October 2026
Published:
28 October 2026
Abstract: With the rapid development of generative AI, increasing attention has been paid to its potential in translation practice. This study aims to investigate generative AI’s use of explicitation in translation. It compares the official English translation of an international publicity text on China’s green and low-carbon industrial transition, released by the State Council Information Office, with translations generated by ChatGPT and DeepSeek. Drawing on focus-point analysis, the study first identifies focus points through a comparison between the Chinese source text and its official English translation to examine explicitation use, and subsequently examines how the two generative AI models address these points. The findings reveal that ChatGPT and DeepSeek demonstrate a tendency towards explicitation, with their outputs showing considerable similarity to the official translation. Both models are effective in making implicit linguistic relations explicit, including omitted subjects, possessive relations, and logical connections between linguistic elements. However, generative AI’s explicitation is primarily concentrated at the linguistic level. Compared with the official translation, the two models show limitations in preserving the stylistic features of the international publicity text and providing culture-specific background information. These findings suggest that while generative AI may serve as an effective tool for initial translation drafting, human involvement remains important for stylistic refinement and culturally informed decision-making. The study contributes to a better understanding of the capabilities and limitations of generative AI in Chinese-English translation and offers implications for the broader use of generative AI in international communication.
Abstract: With the rapid development of generative AI, increasing attention has been paid to its potential in translation practice. This study aims to investigate generative AI’s use of explicitation in translation. It compares the official English translation of an international publicity text on China’s green and low-carbon industrial transition, released ...
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Research Article
A Morphological Analysis of Verb Extensions in Kirombo
Issue:
Volume 12, Issue 4, December 2026
Pages:
79-92
Received:
10 October 2026
Accepted:
23 October 2026
Published:
31 October 2026
DOI:
10.11648/j.ijalt.20261204.12
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Abstract: Verb extensions are an important morphological feature of Bantu languages because they contribute to the modification of verb forms and meanings. Despite their significance in Bantu morphology, the verb-extension system of Kirombo (E623), particularly the Kimashati variety, remains insufficiently documented. This study aims to identify the morphemic affixes of verb extensions in Kirombo. It is guided by Basic Linguistic Theory (BLT) and employs a qualitative research design. Data are collected through questionnaires, recorded natural speech, and narrative elicitation from ten native speakers of Kirombo aged 55 years and above in Mrere Village. The analysis identifies five verb extensions in the Kimashati dialect of Kirombo, namely the applicative, causative, reciprocal, passive, and stative extensions. The applicative extension is realized by the morphemes -i-/-e-, the causative by -ish-/-esh-, the reciprocal by -an-, the passive by -w-/-iw-/-ew-, and the stative by -ik-/-ek-. The variation among the identified forms is associated with phonological conditioning, including vowel alternation and, in some cases, processes that may be related to Advanced Tongue Root (ATR) harmony and epenthesis. The findings demonstrate that Kirombo possesses a distinct and systematically organized set of morphological affixes for marking verb extensions. The study contributes to the grammatical documentation of Kirombo and provides empirical evidence for comparative studies of verb-extension morphology in Bantu languages.
Abstract: Verb extensions are an important morphological feature of Bantu languages because they contribute to the modification of verb forms and meanings. Despite their significance in Bantu morphology, the verb-extension system of Kirombo (E623), particularly the Kimashati variety, remains insufficiently documented. This study aims to identify the morphemi...
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