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This paper describes the problems faced while us- ing Kimmo's two-level model to describe certain Indian languages such as Tamil and Hindi. The two-level model is shown to be descriptively …...

In this paper we investigate named entity transliteration based on a phonetic scoring method. The phonetic method is computed using phonetic features and carefully designed pseudo features. The proposed method …...

We describe our effort in developing a Named Entity Recognition (NER) system for Hindi using Maximum Entropy (Max- Ent) approach. We developed a NER an- notated corpora for the purpose. …...

Recent work has shown how a parallel corpus can be leveraged to build syntac- tic parser for a target language by project- ing automatic source parse onto the target sentence …...

Recent work on bilingual Word Sense Disam- biguation (WSD) has shown that a resource deprived language (L1) can benefit from the annotation work done in a resource rich lan- guage …...

AbstractWhen dealing with languages of South Asia from an NLP perspective, a problem that repeatedly crops up is the treatment of complex predicates. This paper presents a first approach to …...

Cross-Lingual Learning provides a mech- anism to adapt NLP tools available for la- bel rich languages to achieve similar tasks for label-scarce languages. An efficient cross-lingual tool significantly reduces the …...

AbstractWe present a text-to-speech (TTS) system designed for the dialect of Bengali spoken in Bangladesh. This work is part of an ongoing effort to address the needs of under-resourced languages. …...

Linguistic research on multilingual societies has indicated that there is usually a preferred language for expression of emotion and sen- timent (Dewaele, 2010). Paucity of data has limited such studies …...

AbstractWe present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as …...

AbstractEvent Extraction is an important task in the widespread field of Natural Language Processing (NLP). Though this task is adequately addressed in English with sufficient resources, we are unaware of …...

AbstractCognates are present in multiple variants of the same text across different languages (e.g., “hund” in German and “hound” in the English language mean “dog”). They pose a challenge to …...

AbstractIndia is a country where several tens of languages are spoken by over a billion strong population. Text-to-speech systems for such languages will thus be extremely beneficial for wide-spread content …...

AbstractThe widespread presence of offensive language on social media motivated the development of systems capable of recognizing such content automatically. Apart from a few notable exceptions, most research on automatic …...

AbstractIn this paper, we present a novel approachfor domain adaptation in Neural MachineTranslation which aims to improve thetranslation quality over a new domain. Adapting new domains is a highly challeng-ing …...

AbstractBack-translation (BT) of target monolingual corpora is a widely used data augmentation strategy for neural machine translation (NMT), especially for low-resource language pairs. To improve effectiveness of the available BT …...

Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstream tasks for low-resource languages, there are …...

AbstractThough recent works have focused on modeling high resource languages, the area is still unexplored for low resource languages like Bengali and Hindi. We propose an end to end trainable …...

AbstractThis paper presents a number of possible criteria for systems that transliterate South Asian languages from their native scripts into the Latin script, a process known as romanization. These criteria …...

AbstractText simplification is a method for improving the accessibility of text by converting complex sentences into simple sentences. Multiple studies have been done to create datasets for text simplification. However, …...

AbstractSocial media platforms such as Twitter have evolved into a vast information sharing platform, allowing people from a variety of backgrounds and expertise to share their opinions on numerous events …...

AbstractWe present a completed, publicly available corpus of annotated semantic relations of adpositions and case markers in Hindi. We used the multilingual SNACS annotation scheme, which has been applied to …...

AbstractKārakas from ancient Paninian grammar form a concise set of semantic roles that capture crucial aspect of sentence meaning pivoted on the action verb. In this paper, we propose employing …...