urdu literature has provided an outstanding treasure by using all persian literary genres presented in both verse and prose. among all literary genres of poetry elegy is the kind which some of the scholars and critics of the subcontinent consider as an independent genre from arabic and persian literature. there is no doubt that mourning and lamenting for the dead has always been part of every n...

Postpartum period is one of the sensitive in any women’s life. As Hung Stress Scale effective scale that measures level stress postpartum mothers. So, study was conducted to translate and adapt this for Pakistani population. The aim into Urdu language establish its psychometric properties. 343 mothers from government hospitals Bahawalpur were studied purpose. Exploratory Factor Analysis (EFA) v...

Classification of dialogue acts constitutes an integral part of various natural language processing applications. In this paper, we present an application of this task to Urdu language online multi-party discourse. With language specific modifications to established techniques such as permutation of word order in detected n-grams and variation of n-gram location, we developed an approach that i...

In almost all languages words usually have multiple senses or meanings. WSD (Word Sense Disambiguation) is a task of recognizing the correct sense of a word in a particular context. Identifying correct sense of an ambiguous word becomes very vital when a language is needed to be translated into another language or information is needed to be extracted using ambiguous words. There is a massive w...

Urdu language uses cursive script which results in connected characters constituting ligatures. For identifying characters within ligatures of different scales (font sizes), Convolution Neural Network (CNN) and Long Short Term Memory (LSTM) Network are used. Both network models are trained on formerly extracted ligature thickness graphs, from which models extract Meta features. These thickness ...

The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for training automatic classifiers can be highly imbalanced especially in the multilingual paradigm as generating annotations is an expensive task. In this work, we propose a cotraining approach for subjectivity analysis i...

Speech technology has enabled computer accessibility for users with visual impairments but the language barrier poses a great challenge. This project is an effort to overcome the hurdles faced by visually impaired people, in terms of language barrier, by providing them access to digital information through software which can communicate with them in Urdu. A survey was conducted in schools for b...

We present a language independent, unsupervised approach for transforming word embeddings from source language to target language using a transformation matrix. Our model handles the problem of data scarcity which is faced by many languages in the world and yields improved word embeddings for words in the target language by relying on transformed embeddings of words of the source language. We i...

Finite-state Transducers (FST) can be very efficient to implement inter-dialectal transliteration. We illustrate this on the Hindi and Urdu language pair. FSTs can also be used for translation between surface-close languages. We introduce UIT (universal intermediate transcription) for the same pair on the basis of their common phonetic repository in such a way that it can be extended to other l...

This paper reports on an exploratory investigation as to whether classes of Urdu N-V complex predicates can be identified on the basis syntactic patterns and lexical choices associated with the N-V complex predicates. Working with data from a POS annotated corpus, we show that choices with respect to the number of arguments, case marking on subjects and which light verbs are felicitous with whi...