Обнаружение границ предложений

AbstractThe reliable detection of sentence boundaries in running text is one of the first important steps in preparing an input document for translation. Although this is often neglected, it is …...

Statistical machine learning algorithms have been successfully applied to many natural lan- guage processing (NLP) problems. Compared to manually constructed systems, statistical NLP systems are often easier to develop and …...

We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and maximum likeli- hood estimation, …...

This paper describes a project to detect dependen- cies between Japanese phrasal units called bunsetsus, and sentence boundaries in a spontaneous speech corpus. In monologues, the biggest problem with de- …...

AbstractNavigation in large scholarly paper collections is tedious and not well supported in most scientific digital libraries. We describe a novel browser-based graphical tool implemented using HTML5 Canvas. It displays …...

AbstractThe paper applies a deep recurrent neural network to the task of sentence boundary detection in Sanskrit, an important, yet underresourced ancient Indian language. The deep learning approach improves the …...

We cast sentence boundary detection and syntactic parsing as a joint problem, so an entire text document forms a training instance for transition-based dependency parsing. When trained with an early …...

AbstractSentence alignment is a task that consists in aligning the parallel sentences in a translated article pair. This paper describes a method to perform sentence boundary detection and alignment simultaneously, …...

AbstractThis paper presents experiments on sentence boundary detection in transcripts of spoken dialogues. Segmenting spoken language into sentence-like units is a challenging task, due to disfluencies, ungrammatical or fragmented structures …...