A Synchronization Structure Of SSTC And Its Applications In Machine Translation
نویسندگان
چکیده
In this paper, a flexible annotation schema called (SSTC) is introduced. In order to describe the correspondence between different languages, we propose a variant of SSTC called synchronous SSTC (S-SSTC). We will also describe how S-SSTC provides the flexibility to treat some of the non-standard cases, which are problematic to other synchronous formalisms. The proposed S-SSTC schema is well suited to describe the correspondence between different languages, in particular, relating a language with its translation in another language (i.e. in Machine Translation). Also it can be used as annotation for translation systems that automatically extract transfer mappings (rules or examples) from bilingual corpora. The S-SSTC is very well suited for the construction of a Bilingual Knowledge Bank (BKB), where the examples are kept in form of S-SSTCs.
منابع مشابه
Synchronous Structured String-Tree Correspondence (S-SSTC)
In this paper, a flexible annotation schema called Structured String-Tree Correspondence (SSTC) is introduced. We propose a variant of SSTC called synchronous SSTC. Synchronous SSTC can be used to describe the correspondence between different languages. We will also describe how synchronous SSTC provides the flexibility to treat some of the non-standard cases, which are problematic to other syn...
متن کاملExample-Based Machine Translation Based on the Synchronous SSTC Annotation Schema
In this paper, we describe an Example-Based Machine Translation (EBMT) system for EnglishMalay translation. Our approach is an examplebased approach which relies sorely on example translations kept in a Bilingual Knowledge Bank (BKB). In our approach, a flexible annotation schema called Structured String-Tree Correspondence (SSTC) is used to annotate both the source and target sentences of a tr...
متن کاملLearning-to-Translate Based on the S-SSTC Annotation Schema
We present the S-SSTC framework for machine translation (MT), introduced in 2002 and developed since as a set of working MT systems (SiSTeC-ebmt). Our approach is example-based, but differs from other EBMT approaches in that it uses alignments of string-tree alignments, and in that supervised learning is an integral part of the approach. Our model directly deals with three main difficulties in ...
متن کاملA Hybrid Machine Translation System Based on a Monotone Decoder
In this paper, a hybrid Machine Translation (MT) system is proposed by combining the result of a rule-based machine translation (RBMT) system with a statistical approach. The RBMT uses a set of linguistic rules for translation, which leads to better translation results in terms of word ordering and syntactic structure. On the other hand, SMT works better in lexical choice. Therefore, in our sys...
متن کاملProtein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches
DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002