machine translation

But there are two important limitations that users of this or any other statistical machine translation system need to understand.

This work shows that it is possible to construct a means of query translation at a much lower cost than a machine translation system.

But the results of machine translation are usually in an unnatural form of language and sometimes just plain weird.

Internet thinkers say both machine translation and human translating projects will continue to improve rapidly over the next decade.

If this marketing company and its clients had expected machine translation, the news would have been acceptable.

The following four sub-paragraph text (I All rights reserved, please do not spread) translated into English, refused to machine translation.

I take the trouble to help translated into English, thank you, not the machine translation!

In return, it will provide Google with access to its translated patents, enabling Google to optimise its machine translation technology.

Machine translation has removed the barrier for communication between people who do not share the same language.

Question: What do you think about machine translation, machine-aided translation and human translation?

At the outset, let me confess that machine translation usually sucks.

The phrase-base statistical machine translation model is an important research direction in machine translation field.

When expectations are properly set, particularly for low-value text, unedited machine translation can be quite useful.

Machine translation remains the sub-division of computational linguistics dealing with having computers translate between languages.

Glossaries in either TMX or TBX format can be used by CAT tools to provide partial translations in a Machine Translation-like style.

Machine translation has proved helpful in more urgent situations as well.

Google Translate is a statistical machine translation system, which means that it doesn't try to unpick or understand anything.

For a wealth of resources on globalization, machine translation, and related issues.

Translation Server is a server-side program that acts as a service provider for machine translation services.

The approach extract related terms between documents and query through statistical machine translation model, then expand into query.

In recent years, the phrase-based statistical machine translation model has obtained more attention for its good translation performance.

Google Translate has achieved more in machine translation than the rest of the world's artificial intelligence experts combined.

The father of machine translation, William Weaver, chose to regard Russian as a "code" obscuring the real meaning of the text.

Those words, as long as the translation above translation, machine translation not artificial.

Machine Translation System( MTS ) is a typical nature language disposal system, and language technique is a main technique in MTS .

The phrase based statistical machine translation model is widely studied and applied in the circle of machine translation research.

Translation equivalence is very useful for bilingual lexicography, machine translation system and cross-lingual information retrieval.

Traditional method of personal name machine translation relies on pre-established comparative dictionary.

Japanese syntactic analysis is the kernel content in natural language processing and machine translation.

Understand current methods for statistical approaches to machine translation.

Ostler argues that machine translation is improving, although it does struggle with nuance and figurative language.

If the question is changed to "Can machine translation exactly replace human translation? " It will be much easier to answer.

Syntactic transfer and tense treatment are two important stages of mix Chinese-English machine translation.

The Internet provides a brighter future for Language development, and machine translation becomes the hot spot.

Machine Translation Website Translation please step aside, the outcome of plagiarism I would tell the former.

The automatic evaluation of output quality for machine translation systems is a difficult problem.

Patten matching is the key factor which influences the performance of pattern based machine translation.

Nishino Fumihito , born in 1956. Master of engineering . His main research fields are machine translation and natural language processing .

Translation example base is the main knowledge source of example-based machine translation system.

Statistical method has gradually become the mainstream in machine translation field.

The current mainstream approach to statistical machine translation is the phrase-based model.

French experts for translation, machine translation of the Bypass.

Professional translation is offered via a link on the page that displays machine translation results.

Machine Translation and Computer Aided Translation are two concepts interrelated with each other yet different in nature.

In recent years, statistical machine translation systems achieved good results in some machine translation evaluation test.

The need for crude machine translation goes back to the start of the cold war.

A site with lots of interesting links to on-line dictionaries, free machine translation, translators wanted, and other resources.

The retrieval of similar sentence pairs is very important in the corpus-based machine translation for the translation quality.

The translator clicks on a sentence and receives its machine translation (MT) .

and tracking are also important in the field of information extraction, automatic question answering and machine translation.

These principles are even understood by Google and other companies that build and market machine translation products.

Meng Yao , born in 1970. Doctor of engineering . Her main research fields: natural language parsing and machine translation .

Google Translate supports automatic machine translation between 1640 language pairs.

If you look at the progress in machine translation and corresponding advances in voice recognition, there has been huge progress recently.

Fully Automatic Machine Translation?

PS: disregard of machine translation, colloquial point as far as possible, words simply, is released said.

In any event, I still feel that man-made bit by bit to the translation machine translation than in the modified much better.

Machine Translation is the use of software to translate your own or another's words into another language.

This column has previously mentioned many other incidents resulting from improper use of machine translation.

Sorry but I do not speak chinese. . . this is a machine translation.

In terms of user experience I think it's a quantum leap in machine translation.

This paper describes a Chinese-English machine translation system based on the combination of target language phrases.

How to improve the quality of the translation result is a difficult problem in research and development of machine translation system.

Machine translation can certainly help in these cases.

Then the machine translation engine translates the English text into foreign language text.

Extraction of Machine Translation Units Based on "Similarity and Difference"

FAHQ MT Full Automatic High Quality Machine Translation ?

Do not use machine translation, which is the product that is not wrong.

MT (Machine Translation) refers to the use of computers to translate texts from one language to another.

Therefore or can see with machine translation I drops.

The identification of this phrase has great value for NLPS such as syntax parsing, machine translation.

Many think a big part of the solution will be machine translation.

Some people think that machine translation is highly developed in today's society.

In a task such as machine translation, semantical reasons also come into play.

From this paper, we can understand the importance of analysis of Chinese syntax in machine translation.

In the past ten years, statistical methods have been more and more popular in the research of machine translation.

The textual work of this article has three parts: The first part introduces the machine translation and its present situation;

Style guide creation, terminology management, translation memory management, and optimization of machine translation output

Bilingual Corpus Construction and its Management for Chinese-English Machine Translation

Discussion on approximate translation algorithms and ambiguity processing methods in Chinese-English machine translation

A Explanation on the Grammatical Properties of the Mongolian Words in Chinese - Mongolian Machine Translation Dictionary

The Pattern-Based Generation Algorithm in An English-Chinese Machine Translation System

On Present English-Chinese Machine Translation Performances and Trustworthy Machine Translation

Multi- step strategies of statistical disambiguation in Chinese- English machine translation system

Advances of Machine Translation Technology and its Applications

Design and Implementation of Multi-language Oriented Machine Translation Support Environment

Construction of Dictionary Class Library with Object-Oriented Technology in Machine Translation System

Word Meaning Disambiguation Using Everyday Language Knowledge in Machine Translation

Semantic Chunk Transforming Processing in Chinese-English Machine Translation

Problems and Countermeasures of Current English-Chinese Machine Translation Systems

International Association for Machine Translation

Retrieval Approach of Candidate Translation Examples in Interactive Hybrid Strategies Machine Translation System IHSMTS

Knowledge-Base Refinement Mechanism towards Machine Translation

Application and Advance of Machine Translation Technology in Information Retrieval

Application and Analysis of String-Similarity-Based Machine Translation Evaluation

Machine Translation Oriented Understanding and Synthesis of Chinese Sign Language

Researches on Ontology-based Technical Lexicons for Specialty Machine Translation

Trustworthy Degree of Machine Translation and Human Intervention

A Model of Semantic Processing in a Chinese-English Machine Translation System

Research on processing of Chinese directional verbs in Chinese-English machine translation

The Phrase-Template Alignment Based Statistical Machine Translation

Automatic Acquisition Method of Part-of-Speech Collocation Rules in Machine Translation

Machine Understanding of Chinese and Chinese-English Machine Translation

The death of the translator in machine translation: A bilingual poetry project Tong King Lee

Machine Translation on the Internet and Its New Development Trend

Comparison of Machine translation applications

The Design of an English-Mongolian Machine Translation System

Multi-Layer Filtering Based Statistical Machine Translation

The Improvement of Automatic Machine Translation Evaluation

Clause Recognition Method for English-Chinese Machine Translation

Research on Non-contiguous Phrase-based Model for Statistical Machine Translation

Research on Example-Matching Algorithm in Example-Based Machine Translation

Treatment of Onomatopoeia in Chinese-English Machine Translation SHI Mandel

Two machine learning methods and their application in machine translation

Study on the Coordination Methods Between Rules and Templates in Machine Translation

Research and Discussion on Source Language Analysis in Machine Translation

A Temporal Information System Model for Chinese Texts in Chinese-English Machine Translation

A Regulation and corpus-based English to Tibetan Machine translation system Design Model

Cognitive Science and Machine Translation Research

An Analysis of Divergences and Mapping Operations in Machine Translation

Implementing Cross-Language Information Retrieval Based on English-Chinese Machine Translation

A New Approach to Phrase Segmentation for Statistical Machine Translation

The Initial Discussion of Machine Translation for Natural Language

An Implement of English-Mongolian Machine Translation System

Machine cognition and human cognition in machine translation

Research on Parsing Technology in Machine Translation System

On the Research of Information Technology and Machine Translation

Design of Bi-directional English-Chinese Machine Translation SystemsBased on Hybrid Strategy

List of research laboratories for machine translation

Application of Analog Inference in Machine Translation and Search

for a Machine Translation System of Advanced Design;

Controlled Language in Machine Translation

Fuzzy Matching in Machine Translation Evaluation

The Promotive Effect of Machine Translation on Translation Teaching

Brief Analysis of Machine Translation and Human Translation

Processing of Tense and Aspect in Chinese-English Machine Translation

The Link Grammar and Rule Set for English-Mongolian Machine Translation System

Machine Translation and Human Translation in the Information Age

Research of Machine Translation Markup Language

Practice and Analysis in Evaluation of Machine Translation

Syntactic analysis of machine translation

Machine translation research in Microsoft

A Hybrid Approach to English-Chinese Machine Translation System

A probe into machine translation and computer-aided translation

A Study on the Dictionary in Japanese-Uyghur Machine Translation System

Improve the Quality of Machine Translation by Using Fall-information Pattern

Machine Translation Theory and Technique

Research on Adapting Machine Translation System to New Domain

The Research on Machine Translation's Transfer and Generating

Statistical Machine Translation Model Based on Hierarchical Chunking Phrase

Association for Machine Translation in the Americas

Machine Translation Based on Universal Algorithm of Indexed Templates Matching and Replacing

A probe into some treatment methods for machine translation

Method and Issues of Example-Based Machine Translation

Analysis about the Developing Trend of Machine Translation

Study on the theory model and the phrasing analysis of machine translation

Statistical machine translation based on multi-level linguistic knowledge

The Present and Future of Japanese-Chinese Machine Translation

A Japanese-to-Chinese Machine Translation System Based on Case Grammar and Transformation Strategy

Comparison of human and machine translation

On Some Problems about Machine Translation

A Brief Reflection on Machine Translation

Machine Translation Architecture Based on Micro-Engine Pipeline

High Speed Multi-Language Machine Translation Based on Pruning on the Tree of Representations of Semantic Elements

Machine Translation Model Based on Neural Networks Technology

An English-to-Chinese Machine Translation Method Based on Rules Transferring

Pre-fill with source text instead of machine translation

Pre-fill with machine translation instead of source text

Auto evaluation of machine translation based on BLEU method

Two Algorithms Based on Machine Translation

An Approach of Machine Translation Based on Weaken Syntax

English Ambiguity and Disambiguation in English-Chinese Machine Translation

Recognizing Unknown Words in English-Chinese Machine Translation

Knowledge Bases in English-Chinese Machine Translation System ECT

Recognizing Unknown Words Based on Similarity and Guessing Rules in English-Chinese Machine Translation