Translation memory for indian languages

Joshi, Nisheeth; Mathur, Iti; Mathur, Sanjay

doi:10.1145/1980022.1980175

Cited by 9 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This type of model, where at one end we have a parse tree and on the other end we have a string, is termed as a hireo grammar. We also used an example based MT system [20] [21] that we had developed to understand the modalities of EBMT and later used it as a Translation Memory.…”

Section: Methodsmentioning

confidence: 99%

HEVAL: Yet Another Human Evaluation Metric

Joshi¹,

Mathur²,

Darbari³

et al. 2013

IJNLC

View full text Add to dashboard Cite

Machine translation evaluation is a very important activity in machine translation development. Automatic evaluation metrics proposed in literature are inadequate as they require one or more human reference translations to compare them with output produced by machine translation. This does not always give accurate results as a text can have several different translations. Human evaluation metrics, on the other hand, lacks inter-annotator agreement and repeatability. In this paper we have proposed a new human evaluation metric which addresses these issues. Moreover this metric also provides solid grounds for making sound assumptions on the quality of the text produced by a machine translation

show abstract

Section: Methodsmentioning

confidence: 99%

HEVAL: Yet Another Human Evaluation Metric

Joshi¹,

Mathur²,

Darbari³

et al. 2013

IJNLC

View full text Add to dashboard Cite

show abstract

“…Singh et al [18] developed a POS tagger for Marathi using supervised learning. Joshi et al [19] further developed a technique to using machine learning in evaluating MT engines. Tyagi et al [20] [21] developed an approach of translating complex English sentences by first simplifying them and then translating into Hindi.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Part of Speech Tagger Using Deep Learning

Singh*¹,

Verma²,

Seal³

et al. 2019

IJEAT

View full text Add to dashboard Cite

Part of speech tagging is the initial step in development of NLP (natural language processing) application. POS Tagging is sequence labelling task in which we assign Part-of-speech to every word (Wi) which is sequence in sentence and tag (Ti) to corresponding word as label such as (Wi/Ti…. Wn/Tn). In this research project part of speech tagging is perform on Hindi. Hindi is the fourth most popular language and spoken by approximately 4billion people across the globe. Hindi is free word-order language and morphologically rich language due to this applying Part of Speech tagging is very challenging task. In this paper we have shown the development of POS tagging using neural approach.

show abstract

“…The complex lexicalized distortion model gave nearly the same result for the reordering model which was informed only about how far and frequently the phrases were moved during decoding. Joshi et al [9] developed a mechanism to write in Hindi using English. They used statistical machine learning to predict a word when some of the initial characters are typed.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of English-Hindi Interactive Machine Translation

Sharma¹,

Seth²,

Syed³

et al. 2019

IJEAT

View full text Add to dashboard Cite

Machine Translation systems are still far from being perfect and to improve their performance the concept of Interactive Machine Translation (IMT) was introduced. This paper proposes an IMT system, which uses Statistical Machine Translation and a bilingual corpus on which several algorithms (Word error rate, Position Independent Error Rate, Translation Error Rate, n-grams) are implemented to translate text from English to Indian languages. The proposed system improves both the speed and productivity of the human translators as found through experiments.

show abstract

Translation memory for indian languages

Cited by 9 publications

References 4 publications

HEVAL: Yet Another Human Evaluation Metric

HEVAL: Yet Another Human Evaluation Metric

Development of Part of Speech Tagger Using Deep Learning

Development of English-Hindi Interactive Machine Translation

Contact Info

Product

Resources

About