A Weighted Finite-State Transducer Implementation of Phoneme Rewrite Rules for English to Korean Pronunciation Conversion

Koo, Hahn

doi:10.1016/j.sbspro.2011.10.599

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…That is, based on a contrastive analysis hypothesis and in line with the principles of the structuralist view of language which stand for the various surface structure differences between languages, two or more languages would undergo contrastive analysis to formulate a framework whereby the difficulty level of target language learning would be recognized (Salehuddin, Kim Hua & Maro, 2006;Ling & Grabe, 1999;Giannoni, 2002;Yeh, 2004;Sajavaara & Dufva, 2001;MacKay, Meador, & Flege, 2001;Demirezen, 2010;Koo, 2011). Different language levels, have been subject to such studies.…”

Section: Introductionmentioning

confidence: 99%

Frequency System of Phonemes: Contrastive Analysis of Common Standard Persian and English Consonants in Context-Based Corpora

Nejad¹,

Qaracholloo²

2013

ASS

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This paper is concerned with the contrastive analysis of the frequency system of common standard Persian and English consonants. Two corpora were selected from Iranian newspapers. One of them is Keyhan newspaper that is published in Persian and the other one is Tehran Times newspaper that goes under press in English in Iran. Common standard Persian and English consonants were enumerated and analyzed by themselves and with respect to parts of speech, manner of articulation and place of articulation. Results indicated a significant difference between the frequency of eleven Persian consonants and their English counterparts. Nouns comprised the highest frequency of consonants and while prepositions, determiners and conjunctions had the lowest. With respect to manner of articulation, there was a significant difference between both languages in all manners with stops as the most frequent in both. As for the place of articulation, there was a significant difference between both languages and alveolars were the most frequent in both. Regarding manner of articulation, English stops and liquids were more frequent than those of Persian. With respect to place of articulation, just English alveolars were more frequent than the Persian ones. The frequency of all other places was higher in Persian. In spite of frequent differences between both languages, many similarities were also identified in terms of their frequency systems, and the frequency of consonants with respect to parts of speech, manner of articulation and place of articulation.

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Section: Introductionmentioning

confidence: 99%

Frequency System of Phonemes: Contrastive Analysis of Common Standard Persian and English Consonants in Context-Based Corpora

Nejad¹,

Qaracholloo²

2013

ASS

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Word Transduction for Addressing the OOV Problem in Machine Translation for Similar Resource-Scarce Languages

Sharma¹,

Singh

2017

Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing (FSMNLP 2017

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Similar languages have a large number of cognate words which can be exploited to deal with Out-Of-Vocabulary (OOV) words problem. This problem is especially severe for resource-scarce languages. We propose a method for 'word transduction' for addressing this problem. We take advantage of the fact that, although it is difficult to prepare sentence aligned parallel corpus for such languages, it is much easier to prepare 'parallel' list of word pairs which are cognates and have similar pronunciations. We can try to learn pronunciations (or orthographic representations) of OOV words from such a parallel list. This could be done by using phrase-based machine translation (PBMT). We show that, for small amount of data, a model based on weighted rewrite rules for phoneme chunks outperforms a PBMT-based approach. An additional point that we make is that word transduction can also be used to borrow words from another similar language and adapt them to the phonology of the target language.

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A Weighted Finite-State Transducer Implementation of Phoneme Rewrite Rules for English to Korean Pronunciation Conversion

Cited by 2 publications

References 12 publications

Frequency System of Phonemes: Contrastive Analysis of Common Standard Persian and English Consonants in Context-Based Corpora

Frequency System of Phonemes: Contrastive Analysis of Common Standard Persian and English Consonants in Context-Based Corpora

Word Transduction for Addressing the OOV Problem in Machine Translation for Similar Resource-Scarce Languages

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