IBM Model 1

method ID: ibmmodel1

Related Papers

Improving IBM Word Alignment Model 1

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

We investigate a number of simple methods for improving the word-alignment accuracy of IBM Model 1. We demonstrate reduction in alignment error rate of approximately 30% resulting from (1) giving …...

36806

Inner-Outer Bracket Models for Word Alignment using Hidden Blocks

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Publication: TIPSTER (2005)

DOI: nan

Most statistical translation systems are based on phrase translation pairs, or “blocks”, which are obtained mainly from word alignment. We use blocks to infer better word alignment and improved word …...

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Triplet Lexicon Models for Statistical Machine Translation

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Publication: TIPSTER (2008)

DOI: nan

This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be- yond the local context of phrases …...

44886

Word association models and search strategies for discriminative word alignment

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

. This paper deals with core aspects of discriminative word alignment systems, namely basic word association models as well as search strategies. We compare various low-computational-cost word as- sociation models: …...

3412

On A Strictly Convex IBM Model 1

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

IBM Model 1 is a classical alignment model. Of the first generation word-based SMT models, it was the only such model with a concave objective function. For concave optimization problems …...

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A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments

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Publication: TIPSTER (2017)

DOI: nan

AbstractWhile cross-lingual word embeddings have been studied extensively in recent years, the qualitative differences between the different algorithms remain vague. We observe that whether or not an algorithm uses a …...

43097