Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions

Oliver Adams; Graham Neubig; Trevor Cohn; Steven Bird

Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions

Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

We investigate induction of a bilingual lexicon from a corpus of phonemic transcriptions that have been sentence-aligned with English translations. We evaluate existing models that have been used for this purpose and report on two additional models, which demonstrate performance improvements. The first performs monolingual segmentation followed by alignment, while the second performs both tasks jointly. We show that monolingual and bilingual lexical entries can be learnt with high precision from corpora having just 1k 10k sentences. We explain how our results support the application of alignment algorithms to the task of documenting endangered languages.

Original language	English
Title of host publication	Proceedings of the International Workshop on Spoken Language Translation
Number of pages	8
Publication status	Published - 2015
Externally published	Yes

Cite this

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title = "Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions",

abstract = "We investigate induction of a bilingual lexicon from a corpus of phonemic transcriptions that have been sentence-aligned with English translations. We evaluate existing models that have been used for this purpose and report on two additional models, which demonstrate performance improvements. The first performs monolingual segmentation followed by alignment, while the second performs both tasks jointly. We show that monolingual and bilingual lexical entries can be learnt with high precision from corpora having just 1k 10k sentences. We explain how our results support the application of alignment algorithms to the task of documenting endangered languages.",

author = "Oliver Adams and Graham Neubig and Trevor Cohn and Steven Bird",

year = "2015",

language = "English",

booktitle = "Proceedings of the International Workshop on Spoken Language Translation",

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AU - Adams, Oliver

AU - Neubig, Graham

AU - Cohn, Trevor

AU - Bird, Steven

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N2 - We investigate induction of a bilingual lexicon from a corpus of phonemic transcriptions that have been sentence-aligned with English translations. We evaluate existing models that have been used for this purpose and report on two additional models, which demonstrate performance improvements. The first performs monolingual segmentation followed by alignment, while the second performs both tasks jointly. We show that monolingual and bilingual lexical entries can be learnt with high precision from corpora having just 1k 10k sentences. We explain how our results support the application of alignment algorithms to the task of documenting endangered languages.

AB - We investigate induction of a bilingual lexicon from a corpus of phonemic transcriptions that have been sentence-aligned with English translations. We evaluate existing models that have been used for this purpose and report on two additional models, which demonstrate performance improvements. The first performs monolingual segmentation followed by alignment, while the second performs both tasks jointly. We show that monolingual and bilingual lexical entries can be learnt with high precision from corpora having just 1k 10k sentences. We explain how our results support the application of alignment algorithms to the task of documenting endangered languages.

M3 - Conference Paper published in Proceedings

BT - Proceedings of the International Workshop on Spoken Language Translation

ER -

Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions

Abstract

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Cite this