Recursive Comparison as a Basis to Translation Equivalents Search in Agglutinative and Inflectional Languages

S. Bredikhin, Stanislav Sidorenko
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Abstract

The study offers a developed algorithm, aimed to observe cognitive-communicative syntactic specifiers based on recursive comparison in the process of computer-aided translation of statements in agglutinating languages. The key method that enables fast and adequate search for translation equivalent in the languages with different structures is the multilevel recursive comparison of interim forms with dictionary equivalents, as well with contextual matches within the frameworks of prospective modelling in the course of an invariant thesaurus development according to dynamic complicated codes. The combination of cognitive-semantic and semantemic-morphological parallel comparison with spiral references will make it possible to create not only an equivalent version of the target text that meets the requirements of lexico-morphological correctness, but also to ensure the transfer of cognitive and consituational elements of the original utterance. The inclusion of cognitive-communicative syntactic samples in the recursive comparison algorithm during automatic processing of the utterance, as the final stage of generating the target utterance, is designed to solve the problem of polysemic, synonymous and homonymous barriers that arise at the stage of generating the target text. The described automated analysis algorithm is demonstrated on the utterances in languages with different structures (Turkish, Russian and English). The article also provides examples of the interaction of the invariant thesaurus of commonly used constructions with variant correspondences while connecting recursive comparison with elements of cognitive-communicative syntax.
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以递归比较为基础的黏着和屈折语言翻译对等搜索
本研究提出了一种基于递归比较的算法,旨在观察黏着语言语句计算机辅助翻译过程中的认知交际句法指示符。在基于动态复杂代码的不变词库开发过程中,在前瞻性建模框架内,多级递归比较临时形式与词典对等物以及上下文匹配,是实现对不同结构语言翻译对等物快速、充分搜索的关键方法。认知语义平行比较和语义形态平行比较与螺旋引用相结合,不仅可以创造出符合词汇形态正确性要求的对等文本,而且可以确保原话语的认知和情境要素的转移。作为生成目标话语的最后阶段,在话语自动处理过程中将认知交际句法样本纳入递归比较算法中,旨在解决目标文本生成阶段出现的多义、同义、同音障碍问题。对不同结构语言(土耳其语、俄语和英语)的话语进行了自动分析。在递归比较与认知交际句法要素的联系中,还举例说明了常用结构的不变同义表与变异对应关系的相互作用。
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来源期刊
CiteScore
0.20
自引率
50.00%
发文量
87
审稿时长
6 weeks
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