Segmentation

Traditional statistical speech recognition systems typically make strong assumptions about the independence of obser- vation frames and generally do not make use of segmental information. In contrast, when the segmentation …...

This paper describes TextTiling, an algorithm for parti- tioning expository texts into coherent multi-paragraph discourse units which reflect the subtopic structure of the texts. The algorithm uses domain-independent lex- ical …...

° • We present an iterative procedure to build a Chinese language model (LM). We seg- ment Chinese text into words based on a word-based Chinese language model. How- ever, …...

We demonstrate the feasibility of using unary primes in speech-driven language processing. Proponents of Government Phonology (one of several phonological frameworks in which speech segments are represented as combinations of …...

This extended abstract examines the progress of a project on unsupervised language learning, and focuses on two different approaches to segmentation, as well as how cohesion may be generalized from …...

AbstractPre-processing of bilingual corpora plays an important role in Example-Based Machine Translation (EBMT) and Statistical-Based Machine Translation (SBMT). For our Mandarin-English EBMT system, pre-processing includes segmentation for Mandarin, bracketing for …...

We present in this paper a method for achiev- ing in an integrated way two tasks of topic analysis: segmentation and link detection. This method combines word repetition and the …...

We report on the results of an experiment aimed at enabling a machine translation system to select the appropriate strategy for dealing with words and phrases which have different translations …...

A Chinese sentence is represented as a sequence of charac- ters, and words are not separated from each other. In statisti- cal machine translation, the conventional approach is to seg- …...

. This paper introduces BEYTrans (Better Environment for Your TRANSlation), the first experimental environment for free online collaborative computer-aided translation. The requirements and functionalities related to individual translators and communities …...

Segmentation is widely used in adapting Statistical Machine Translation to highly inflected languages as Basque. The way this segmentation is carried out impacts on the quality of the translation. In …...

We evaluate the performance of an morpho- logical analyser for Inuktitut across a medium- sized corpus, where it produces a useful anal- ysis for two out of every three types. …...

This paper presents a supervised machine learning approach to incrementally learn and segment affixes using generic background knowledge. We used Prolog script to split affixes from the Amharic word for …...

Humans identify word boundaries in continu- ous speech by combining multiple cues; exist- ing state-of-the-art models, though, look at a single cue. We extend the generative model of Goldwater et …...

Hungarian is the stereotype of morpholog- ically rich and free word order languages. Here, we introduce magyarlanc, a nat- ural language toolkit developed for the linguistic preprocessing – segmentation, morphological …...

AbstractThe article describes the current status of a large national project, CoRoLa, aiming at building a reference corpus for the contemporary Romanian language. Unlike many other national corpora, CoRoLa contains …...

AbstractIn this paper we present two deep-learning systems that competed at SemEval-2017 Task 4 “Sentiment Analysis in Twitter”. We participated in all subtasks for English tweets, involving message-level and topic-based …...

AbstractThis paper focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edge-wise properties reflecting single-step morphological derivations, along …...

AbstractThis paper describes KIT’s submission to the IWSLT 2018 Translation task. We describe a system participating in the baseline condition and a system participating in the end-to-end condition. The baseline …...

AbstractWe propose BeamSeg, a joint model for segmentation and topic identification of documents from the same domain. The model assumes that lexical cohesion can be observed across documents, meaning that …...

AbstractFor unsegmented languages such as Japanese and Chinese, tokenization of a sentence has a significant impact on the performance of text classification. Sentences are usually segmented with words or subwords …...

AbstractIn this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, …...

AbstractAbstract Meaning Representations (AMR) are a broad-coverage semantic formalism which represents sentence meaning as a directed acyclic graph. To train most AMR parsers, one needs to segment the graph into …...

AbstractIn response to the increasing interest towards automatic subtitling, this EAMT-funded project aimed at collecting subtitle post-editing data in a real use case scenario where professional subtitlers edit automatically generated …...

AbstractMultilingual language models have shown impressive cross-lingual transfer ability across a diverse set of languages and tasks. To improve the cross-lingual ability of these models, some strategies include transliteration and …...