Statistical Machine Translation Between New Language Pairs Using Multiple Intermediaries

نویسندگان

  • Anke Holler
  • Armin Schmidt
چکیده

Acknowledgements I want to thank Dr. Andreas Eisele who first introduced me to the topic of statistical machine translation and who supported me throughout with excellent ideas, useful advice, and a very pleasant sense of humour. Further, I would like to thank Jan Strunk who provided me with his sentence boundary detector Punkt and who invested quite some time in order to get the program working with my data. Last but not least, a huge thank you to Katja Filippova and Torsten Marek for proofreading the script late at night and for being very honest.

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

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

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

Weighted Alignment Matrices for Statistical Machine Translation

Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment mistakes. We propose a new structure called weighted alignment matrix to encode all possible alignments for a parallel text compactly. The key idea is to assign a probability to each word pair to indicate how well the...

متن کامل

On the Importance of Pivot Language Selection for Statistical Machine Translation

Recent research on multilingual statistical machine translation focuses on the usage of pivot languages in order to overcome resource limitations for certain language pairs. Due to the richness of available language resources, English is in general the pivot language of choice. In this paper, we investigate the appropriateness of languages other than English as pivot languages. Experimental res...

متن کامل

Building a Bilingual Lexicon Using Phrase-based Statistical Machine Translation via a Pivot Language

This paper proposes a novel method for building a bilingual lexicon through a pivot language by using phrase-based statistical machine translation (SMT). Given two bilingual lexicons between language pairs Lf–Lp and Lp–Le, we assume these lexicons as parallel corpora. Then, we merge the extracted two phrase tables into one phrase table between Lf and Le. Finally, we construct a phrase-based SMT...

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 2007