Spelling is an important aspect of using the correct Indonesian language. This study aims to describe writing punctuation, capital letters, and non-standard words (spelling) in WhatsApp chats. research a qualitative descriptive study. The results this are form punctuation errors, including periods, commas, question marks. Mistakes errors letters at beginning sentences, as elements people's name...

In the present paper, I will examine Yosef ben Abraham Giqatilla’s philosophical poems on Hebrew vowels that are included in his three early works “punctuation:” third section from larger Ginnat Egoz (“The Nut Garden”), longer version of Sefer ha-Niqqud Book Punctuation”), and a short latter. Scholarship chronology these texts has been inconclusive. argue textual comparison an analysis their pa...

It is all too common for systems processing natural language, whether for input (automatic speech recognition, text queries, dialogue etc.) or output (text-to-speech), to ignore or strip out punctuation. The effect of prosodic factors, such as intonation and pausing, on language processing remains controversial. While there is an obvious relationship between punctuation and prosody it cannot be...

Fully automatic text-to-speech systems must accept as input any texts in whatever form they might be stored on a computer. As such, the role of punctuation characters in marking sentences, phrases and other textual constructs has to be exploited to produce natural sounding synthetic speech. Some characters not in the alpha-numeric set can, however, act both as text and as punctuation in differe...

In this paper, we describe our Hybrid Arabic Spelling and Punctuation Corrector (HASP). HASP was one of the systems participating in the QALB-2014 Shared Task on Arabic Error Correction. The system uses a CRF (Conditional Random Fields) classifier for correcting punctuation errors, an open-source dictionary (or word list) for detecting errors and generating and filtering candidates, an n-gram l...

The output of automatic speech recognition systems is generally an unpunctuated stream of words which is hard to process for both humans and machines. We present a two-stage recurrent neural network based model using long short-term memory units to restore punctuation in speech transcripts. In the first stage, textual features are learned on a large text corpus. The second stage combines textua...

This paper describes the winning entry to the ALTA Shared Task 2013. The theme of the shared task was recovery of casing and punctuation information from degraded English text. We tackle the task as a sequential labeling problem, jointly learning the casing and punctuation labels. We implement our sequential classifier using conditional random fields, trained using linguistic features extracted...

This paper describes a rule-based approach to segment Arabic texts into clauses. Our method relies on an extensive analysis of a large set of lexical cues as well as punctuation marks. Our analysis was carried out on two different corpus genres: news articles and elementary school textbooks. We propose a three steps segmentation algorithm: first by using only punctuation marks, then by relying ...

This paper describes our participation in the QALB-2015 Automatic Correction of Arabic Text shared task. We employed various tools and external resources to build a rule based correction method. Hand written linguistic rules were added by using existing lexicons and regular expressions. We handled specific errors with dedicated rules reserved for nonnative speakers. The system is simple as it d...