We introduce a method for learning to predict text completion given a source text and partial translation. In our approach, predictions are offered aimed at alleviating users’ burden on lexical and grammar choices, and improving productivity. The method involves learning syntax-based phraseology and translation equivalents. At run-time, the source and its translation prefix are sliced into ngra...

In this paper, we present an automatic question generation system that can generate gap-fill questions for content in a document. Gap-fill questions are fill-in-the-blank questions with multiple choices (one correct answer and three distractors) provided. The system finds the informative sentences from the document and generates gap-fill questions from them by first blanking keys from the sente...

Pronunciation by analogy (PbA) is an emerging, data-driven technique with potential application in text-to-speech (TTS) systems, as well as being an influential psychological model of reading aloud. The underlying idea is that a pronunciation for an unknown word (i.e., one not in the dictionary, or lexicon, of the human or machine “reader”) is assembled by matching substrings of the input to su...

Abstract The new retranslation of the ballad “Hasanaginica” brings about an interpretation grounded in comprehensive scholarly research, which a linguo-stylistic analysis both its source text (ST) and 25 published (re)translations represent. This is designed to make notable difference reflected aspiration achieve optimal equivalence on all levels expression, minding metrics, rhythm, sound figur...

This paper is an analysis of lexical choices, pronunciation errors, and discourse features found in a corpus of student presentation speech. The speakers were Swedish natives studying Technical English. Particular emphasis is given to the pronunciation of the words most often used in academic texts. 93% of words used in the corpus came from the most frequent 2570 lexemes of academic written Eng...

We demonstrate a data collection and analysis system that can be used to analyze the relative contributions of dialect dependent variation in the lexical of speech-like Arabic text. We utilize Latent Dirichlet Allocation (LDA), a generative Probabilistic modeling method, to analyze a phonetic Latin Spelled Arabic online chat corpus. The corpus produces different word choices and word relations ...

Stylistics as an interdisciplinary field of study has evolved over the years it encompasses theories and approaches contemporary times from language, literature, sociology, pedagogy, psychology, anthropology. Since core to stylistics is present research aims address ramifications Colonization in poetic works Agha Shahid Ali. The sample for explore stylistic features Language Games. selected tex...

We investigate whether wording, stylistic choices, and online behavior can be used to predict the age category of blog authors. Our hypothesis is that significant changes in writing style distinguish pre-social media bloggers from post-social media bloggers. Through experimentation with a range of years, we found that the birth dates of students in college at the time when social media such as ...

In this paper, we introduce a system, Sentence Planning Using Description, which generates collocations within the paradigm of sentence planning. SPUD simultaneously constructs the semantics and syntax of a sentence using a Lexicalized Tree Adjoining Grammar (LTAG). This approach captures naturally and elegantly the interaction between pragmatic and syntactic constraints on descriptions in a se...

Human text is characterised by the individual lexical choices of a specific author. Significant variations exist between authors. In contrast, natural language generation systems normally produce uniform texts. In this paper we apply distributional similarity measures to help verb choice in a natural language generation system which tries to generate text similar to individual author. By using ...