We describe our experience in adapting an existing high-quality, interlingual, unidirectional machine translation system to a new domain and bidirectional translation for a new language pair (English and Italian). We focus on the interlingua design changes which were necessary to achieve high quality output in view of the language mismatches between English and Italian. The representation we propose contains features that are interpreted differently, depending on the translation direction. This decision simplified the process of creating the interlingua for individual sentences, and allows the system to defer mapping of language-specific features (such as tense and aspect), which are realized when the target syntactic feature structure is created. We also describe a set of problems we encountered in translating modal verbs, and discuss the representation of modality in our interlingua.
CITATION STYLE
Cavalli-Sforza, V., Czuba, K., Mitamura, T., & Nyberg, E. (2000). Challenges in adapting an interlingua for bidirectional English-Italian translation. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 1934, pp. 169–178). Springer Verlag. https://doi.org/10.1007/3-540-39965-8_17
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