Punctuations are not available in automatic speech recognition outputs, which could create barriers to many subsequent text processing tasks. This paper proposes a novel method to predict punctuation symbols for the stream of words in transcribed speech texts. Our method jointly performs parsing and punctuation prediction by integrating a rich set of syntactic features when processing words fro...

Two different systems are proposed for the task of capitalisation generation. The first system is a slightly modified speech recogniser. In this system, every word in the vocabulary is duplicated: once in a decapitalised form and again in capitalised forms. In addition, the language model is re-trained on mixed case texts. The other system is based on Named Entity (NE) recognition and punctuati...

Until recently, punctuation has received very little attention in the linguistics and computational linguistics literature. Since the publication of Nunberg's (1990) monograph on the topic, however, punctuation has seen its stock begin to rise: spurred in part by Nunberg's ground-breaking work, a number of valuable inquiries have been subsequently undertaken, including Hovy and Arens (1991), Da...

The quality of learnt natural language grammars can be enhanced by exploiting the linguistic devices that comprise a corpus. This paper considers one such device, namely punctuation. After brieey considering the linguistics of punctuation, a model capturing some of these properties is presented. Following this, a series of experiments learning uniication-based natural language grammars, using t...

Punctuation prediction is an important task in spoken language translation and can be performed by using a monolingual phrase-based translation system to translate from unpunctuated to text with punctuation. However, a punctuation prediction system based on phrase-based translation is not able to capture long-range dependencies between words and punctuation marks. In this paper, we propose to e...

Punctuation of automatically recognized speech is important to enhance readability of transcripts and to aid downstream NLP processing. This paper is concerned with issues involved in developing training and test corpora for automatic punctuation systems. Punctuation annotation in speech transcripts is difficult since there are numerous cases for which no standard punctuation rules exist. Speci...

The generation of punctuation (including formatting) in written text has not been explored extensively, despite general acknowledgment that punctuation is crucial not just for rare cases of disambiguation, but more generally for ease of comprehension and thus for the ultimate effectiveness of a text. A framework for the generation of natural language argument is summarized, and is then shown to...