Translating from confusion networks (CNs) has been proven to be more effective than translating from single best hypotheses. Moreover, it is widely accepted that the availability of good punctuation marks in the input can improve translation quality. At present, no ASR systems can generate punctuation marks in the word graphs, therefore CNs miss punctuation. In this paper we investigate the pro...

Even syntactically correct sentences are perceived as awkward if they do not contain correct punctuation. Still, the problem of automatic generation of punctuation marks has been largely neglected for a long time. We present a novel model that introduces punctuation marks into raw text material with transition-based algorithm using LSTMs. Unlike the state-of-the-art approaches, our model is lan...

While it has been widely assumed that punctuation may play a critical role in parsing, there has been relatively little direct empirical investigation of its effects. Most researchers have either avoided the use of punctuation or have simply assumed that it will serve a disambiguating role. There has been little or no consideration of how ’disambiguation’ might occur or whether it is equally ef...

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suitable performance for and do not satisfy user interests in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches th...

Little work has been done in NLP on the subject of punctuation, owing mainly to a lack of a good theory on which computational treatments could be based. This paper described early work in progress to try to construct such a theory. Two approaches to finding the syntactic function of punctuation marks are discussed, and procedures are described by which the results from these approaches can be ...

This paper addresses Chinese discourse segmentation based on punctuation mark. Particularly, we propose various kinds of lexical, syntactic, position and punctuation features to train classifiers for Chinese discourse segmentation. Experimental results on CDTB (Chinese Discourse Treebank) show that our method based on punctuation mark is appropriate for Chinese discourse segmentation with 89.2%...

A series of multiple regression analyses was conducted on a corpus of eye movement data to examine whether the influence of properties of words n-1 and n+1 on the time spent fixating word n changes as a function of whether word n is associated with a punctuation mark (i.e., whether or not a punctuation mark separates word n from either word n-1 or word n+1). The results suggest that distributed...

We present a method of speech recognition with automatic punctuation based on a combination of acoustic and lexical evidence. In the recognizer vocabulary, punctuation marks are treated as word entries. By assigning the acoustic baseforms of silence, breath, and other non-speech sounds to punctuation marks, and using a properly processed N-gram language model, unpronounced punctuation marks of ...