method ID: pipeline

Related Papers

Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

We describe the progress we have made in the past year on Joshua (Li et al., 2009a), an open source toolkit for parsing based machine translation. The new functional- ity …...

28320

Combining POS Tagging, Dependency Parsing and Coreferential Resolution for Bulgarian

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper proposes a combined model for POS tagging, dependency parsing and co-reference resolution for Bulgarian — a pro-drop Slavic language with rich mor- phosyntax. We formulate an extension of …...

28813

Mining the Spoken Wikipedia for Speech Data and Beyond

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractWe present a corpus of time-aligned spoken data of Wikipedia articles as well as the pipeline that allows to generate such corpora for many languages. There are initiatives to create …...

14580

From Word Segmentation to POS Tagging for Vietnamese

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

This paper presents an empirical com- parison of two strategies for Vietnamese Part-of-Speech (POS) tagging from unseg- mented text: (i) a pipeline strategy where we consider the output of a …...

28530

The JHU/KyotoU Speech Translation System for IWSLT 2018

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThis paper describes the Johns Hopkins University (JHU) and Kyoto University submissions to the Speech Translation evaluation campaign at IWSLT2018. Our end-to-end speech translation systems are based on ESPnet and …...

20612

DeepNLPF: A Framework for Integrating Third Party NLP Tools

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNatural Language Processing (NLP) of textual data is usually broken down into a sequence of several subtasks, where the output of one the subtasks becomes the input to the following …...

13276

How do LSPs compute MT discounts? Presenting a company’s pipeline and its use

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper we present a pipeline developed at Acolad to test a Machine Translation (MT) engine and compute the discount to be applied when its output is used in …...

2919

ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe present ClidSum, a benchmark dataset towards building cross-lingual summarization systems on dialogue documents. It consists of 67k+ dialogue documents and 112k+ annotated summaries in different target languages. Based on …...

30420

On the Use of External Data for Spoken Named Entity Recognition

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSpoken language understanding (SLU) tasks involve mapping from speech signals to semantic labels. Given the complexity of such tasks, good performance is expected to require large labeled datasets, which are …...

21452

Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this work, we present an extensive study on the use of pre-trained language models for the task of automatic Counter Narrative (CN) generation to fight online hate speech in …...

32564