A Novel Data Driven Algorithm for Tamil Morphological Generator

Kumar, Anand; Rekha, Dhanalakshmi V. R. U.; Soman, K. P.; Rajendran, Suresh

doi:10.5120/1121-1470

Cited by 17 publications

(7 citation statements)

References 3 publications

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“…The inclusion of auxiliaries to the same word can give rise to more than 1800 forms of the word. In addition, if the word is combined with another word in the process of agglutination, the number of word formations cannot be ascertained at all [11,12].…”

Section: Discussionmentioning

confidence: 99%

Prosody Prediction for Tamil Text-to-Speech Synthesizer Using Sentiment Analysis

Rajendran

Kumar

2017

Asian J Pharm Clin Res

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A speech synthesizer which sounds similar to a human voice is preferred over a robotic voice, and hence to increase the naturalness of a speech synthesizer an efficacious prosody model is imperative. Hence, this paper is focused on developing a prosody prediction model using sentiment analysis for a Tamil speech synthesizer. Two variations of prosody prediction models using SentiWordNet are experimented: one without a stemmer and the other with a stemmer. The prosody prediction model with a stemmer performs much more efficiently than the one without a stemmer as it tackles the highly agglutinative and inflectional words in Tamil language in a better way and is exemplified clearly, in this paper. The performance of the prosody prediction model with a stemmer has a higher classification accuracy of 77% on the test set in comparison to the 57% accuracy by the prosody model without a stemmer.

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Section: Discussionmentioning

confidence: 99%

Prosody Prediction for Tamil Text-to-Speech Synthesizer Using Sentiment Analysis

Rajendran

Kumar

2017

Asian J Pharm Clin Res

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“…Some Tamil morphological generators were developed using FSA, paradigm-based approach and sandhi rules [3] [7]. The various methods used for developing a Morphological generator are rule-based methods [8], corpus based methods [11] and fmite state methods [lO].…”

Section: Department Of Linguisticsmentioning

confidence: 99%

Manipuri morphological generator

Devi

Singh

Devi

2015

2015 International Symposium on Advanced Computing and Communication (ISACC)

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The present paper deals with the design and development of a morphological generator for Manipuri language, a Tibeto-Burman language. It is highly agglutinating language. The input of the morphological generator would be the root word which then inflects the word to the morphology of the language and gives the target forms of the word. The Morphological structure of Manipuri Noun is quite complex since it caters to gender, diminutive, numbers, case and number markings etc. Manipuri nouns are broadly classified into 27 categories according to ending characters and phonological factors. Also Manipuri verbs are classified into 15 main categories. The coverage of the system is directly related to the size of the root list.

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“…Several recent syntactic frameworks include: lexical-functional grammar (Kaplan & Bresman, 1982), generalized phrase structure grammar (Gazdar, Klein, Pullum, & Sag, 1985) and lexicase (Starosta, 1985). Data-driven framework algorithms for morpho-syntactic analysis are available in Starosta and Nomura (1986), Kumar, Dhanalakshmi and Rajendran (2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Morpho-Syntactic Analysis Framework for Tone Language Text-to-Speech Systems

Ekpenyong¹,

Udoh²

2012

CIS

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This paper presents a morpho-syntactic analysis framework using data-driven methodology. The proposed framework complements the front-end design of a recent text-to-speech (TTS) project and is generic for other tone language systems. We experiment the design for Ibibio (ISO 693-2: nic; Ethnologue: IBB), a Lower Cross language of the (New) Benue Congo language family, widely spoken in the south-eastern region of Nigeria. Implementation shows that the design is sufficient for morpho-syntactic parsing and useful for prosody improvement in TTS systems. Also, the methodology adopted detaches a greater part of the linguistic features specification from the program code. This allows for easy morphological alterations of utterances and replication of the synthesizer for other languages.

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A Novel Data Driven Algorithm for Tamil Morphological Generator

Cited by 17 publications

References 3 publications

Prosody Prediction for Tamil Text-to-Speech Synthesizer Using Sentiment Analysis

Prosody Prediction for Tamil Text-to-Speech Synthesizer Using Sentiment Analysis

Manipuri morphological generator

Morpho-Syntactic Analysis Framework for Tone Language Text-to-Speech Systems

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