no code implementations • 5 Oct 2017 • Sreelekha. S, Pushpak Bhattacharyya
Then we have augmented the training corpus with Indowordnet synset word entries of lexical database and further trained 110 models on top of the baseline system.
no code implementations • 5 Oct 2017 • Sreelekha. S, Pushpak Bhattacharyya
In this paper, we present our work on the creation of lexical resources for the Machine Translation between English and Hindi.
no code implementations • 5 Oct 2017 • Sreelekha. S, Pushpak Bhattacharyya
Lack of proper linguistic resources is the major challenges faced by the Machine Translation system developments when dealing with the resource poor languages.
no code implementations • 5 Oct 2017 • Sreelekha. S, Pushpak Bhattacharyya
We use this method with the phrase-based and factor-based experiments on two morphologically rich languages: Hindi and Marathi when translating from English.
no code implementations • 16 Sep 2017 • Sreelekha. S, Pushpak Bhattacharyya
It is very unlikely for a parallel corpus to contain all morphological forms of words.
no code implementations • 12 Aug 2017 • Sreelekha. S
In this paper we present our work on a case study between Statistical Machien Transaltion (SMT) and Rule-Based Machine Translation (RBMT) systems on English-Indian langugae and Indian to Indian langugae perspective.
no code implementations • 10 Mar 2017 • Sreelekha. S, Pushpak Bhattacharyya
We present in this paper our work on comparison between Statistical Machine Translation (SMT) and Rule-based machine translation for translation from Marathi to Hindi.
no code implementations • 4 Mar 2017 • Sreelekha. S, Pushpak Bhattacharyya
In this paper we describe some ways to utilize various lexical resources to improve the quality of statistical machine translation system.
no code implementations • 27 Feb 2017 • Sreelekha. S, Pushpak Bhattacharyya
In this paper we present our work on a case study on Statistical Machine Translation (SMT) and Rule based machine translation (RBMT) for translation from English to Malayalam and Malayalam to English.
no code implementations • LREC 2016 • Sreelekha. S, Pushpak Bhattacharyya
We explore different ways of utilizing lexical resources to improve the quality of English Malayalam statistical machine translation.