Machine Translation will not Work
نویسنده
چکیده
Large expenditures on fundamental scientific research are usually limited to the hard sciences. It is therefore entirely reasonable to suppose that, if large sums of money are spent on machine translations, it will be with the clear expectation that what is being purchased is principally development and engineering, and that the result will contribute substantially to the solution of some pressing problem.
منابع مشابه
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 کاملMachine Translation already does Work
The first difficulty in answering a question like "Does machine translation work is that the question itself is ill-posed. It takes for granted that there is one single thing called machine translation and that everyone is agreed about what it is. But in fact, even a cursory glance at the systems already around, either in regular operational use or under development, will reveal a wide range of...
متن کاملLINGSTAT: An Interactive, Machine-Aided Translation System
The goal of LINGSTAT is to produce an interactive machine translation system designed to increase the productivity of a user, with little knowledge of the source language, in translating or extracting information from foreign language documents. This system will make use of statistical information gathered from parallel and singlelanguage corpora, and linguistic information at all levels (lexic...
متن کاملAutomated Translation between Lexicon and Corpora
In this work we will show the role of lexical resources in machine translation processes, giving several examples after a brief overview of Machine Translation studies. Then we will advocate the need for a richer lexicon in MT processes and sketch a methodology to obtain it through a mix of corpus-based and machine learning approaches.
متن کاملGender Issues in Machine Translation
Along with the growing need for intercultural and translingual communication in an increasingly globalized world, machine translation (MT) becomes more and more important both in assisting language professionals in their daily work and in helping non-professionals understand and create texts in foreign languages. Based on the frequent assumption that it is machine translation's aim to replace h...
متن کامل