Writing in English might be one of the most difficult tasks for EFL (English as a Foreign Language) learners. This paper presents FLOW, a writing assistance system. It is built based on first-language-oriented input function and context sensitive approach, aiming at providing immediate and appropriate suggestions including translations, paraphrases, and n-grams during composing and revising pro...

We present the 1.0 release of our paraphrase database, PPDB. Its English portion, PPDB:Eng, contains over 220 million paraphrase pairs, consisting of 73 million phrasal and 8 million lexical paraphrases, as well as 140 million paraphrase patterns, which capture many meaning-preserving syntactic transformations. The paraphrases are extracted from bilingual parallel corpora totaling over 100 mill...

In this working note we describe our submission to the FIRE2017 IRMiDiS track. We participated in both sub-tasks, the first of which was directed at identifying the need or availability of specific resources and the second at matching tweets expressing the need for a resource with tweets mentioning their availability. Our linguistically motivated approach using pattern matching of word n-grams ...

This study assesses the potential for computational indices to predict human ratings of essay quality. The results demonstrate that linguistic indices related to type counts, given/new information, personal pronouns, word frequency, conclusion n-grams, and verb forms predict 43% of the variance in human scores of essay quality.

Predicting an author’s age, gender and personality traits by analyzing his/her documents is important in forensics, marketing and resolving authorship disputes. Our system combines different styles, lexicons, topics, familial tokens and different categories of character n-grams as features to build a logistic regression model for four different languages: English, Spanish, Italian and Dutch. Wi...

In this paper, we present an unsupervised two-phase approach to extract keywords from Arabic documents that combines statistical analysis and linguistic information. The first phase detects all the N-grams that may be considered keywords. In the second phase, the N-grams are analyzed using a morphological analyzer to replace the words of the N-grams with their base forms that are the roots for ...

INTRODUCTION To investigate and highlight the effect of formaldehyde induced weight reduction in transurethral resection of prostate (TURP) and radical robotically-assisted prostatectomy (RALP) specimen as a result of standard chemical fixation. MATERIALS AND METHODS 51 patients were recruited from January 2013 to June 2013 who either underwent a TURP (n=26) or RALP (n=25). Data was collected...

Collage systems are a general framework for representing outputs of various text compression algorithms. We consider the all q-gram frequency problem on a compressed string represented as a collage system, and present an O((q + h log n)n)-time O(qn)-space algorithm for calculating the frequencies for all q-grams that occur in the string. Here, n and h are respectively the size and height of the...

We investigate the influence of term selection and query operations on the text retrieval component of video search. Our main finding is that the greatest gain is to be found in the combination of character n-grams, stemmed text, and proximity terms.