Pattern-Based Machine Translation

نویسنده

  • Koichi Takeda
چکیده

In this 1)a,l)er, we (les(:ril)(~ a. "l)a.ttern-I)a.s(,d" ma.c[fine transla.tion (MT) a.pproa.(:h tha.t we followed in designing a. l)(:rsona.1 tool for ilS(:rs who [1,3,VO, ;t,C(:(~SS tO la.rg(: v()Ittlll('.s of text in la.ngua.ges other tha.n their owu, su(:h as WWW pa.gas. Sore(: of the critica.1 issues involv(:d it, th(: design of such a. tool in

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Pattern-Based Statistical Machine Translation for NTCIR-10 PatentMT

Pattern-based machine translation is a very traditional machine translation method that uses translation patterns and translation word (phrase) dictionaries. The characteristic of this translation method is that high-quality translation results can be obtained if the input sentence matches the translation pattern and this translation pattern is correct. However, translation patterns and transla...

متن کامل

A new model for persian multi-part words edition based on statistical machine translation

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

متن کامل

A Comparative Study of English-Persian Translation of Neural Google Translation

Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated...

متن کامل

A 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 کامل

MetaMorpho: A Pattern-Based Machine Translation System

This paper describes an efficient real-time comprehension assistance and machine translation method. Combining the advantages of example-based (EBMT) and rule-based machine translation (RBMT), a new paradigm, pattern-based translation is presented. A system based on these principles that features an innovative user-friendly interface has been built. Called MetaMorpho, the system has been tested...

متن کامل

The Correlation of Machine Translation Evaluation Metrics with Human Judgement on Persian Language

Machine Translation Evaluation Metrics (MTEMs) are the central core of Machine Translation (MT) engines as they are developed based on frequent evaluation. Although MTEMs are widespread today, their validity and quality for many languages is still under question. The aim of this research study was to examine the validity and assess the quality of MTEMs from Lexical Similarity set on machine tra...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996