'Reference translations' diaporamas de présentation

LING 180 SYMBSYS 138 Intro to Computer Speech and Language Processing

LING 180 SYMBSYS 138 Intro to Computer Speech and Language Processing. Lecture 10: Machine Translation (II) October 26, 2005 Dan Jurafsky. Thanks to Kevin Knight for much of this material, and many slides also came from Bonnie Dorr and Christof Monz!. Outline for MT Week.

1.08k views • 91 slides

LING 138/238 SYMBSYS 138 Intro to Computer Speech and Language Processing

LING 138/238 SYMBSYS 138 Intro to Computer Speech and Language Processing. Lecture 12: Machine Translation (II) November 4 , 2004 Dan Jurafsky. Thanks to Kevin Knight for much of this material!!. Outline for MT Week. Intro and a little history Language Similarities and Divergences

420 views • 40 slides

The Significance of Precision and Recall in Automatic Metrics for MT Evaluation

The Significance of Precision and Recall in Automatic Metrics for MT Evaluation. Alon Lavie , Kenji Sagae, Shyamsundar Jayaraman Language Technologies Institute Carnegie Mellon University. Outline. Similarity-based metrics for MT evaluation

502 views • 37 slides

Re-evaluating Bleu

Re-evaluating Bleu. Alison Alvarez Machine Translation Seminar February 16, 2006. Overview. The Weaknesses of Bleu Introduction Precision and Recall Fluency and Adequacy Variations Allowed by Bleu Bleu and Tides 2005 An Improved Model Overview of the Model Experiment Results

508 views • 32 slides

Re-evaluating Bleu

Re-evaluating Bleu. Alison Alvarez Machine Translation Seminar February 16, 2006. Overview. The Weaknesses of Bleu Introduction Precision and Recall Fluency and Adequacy Variations Allowed by Bleu Bleu and Tides 2005 An Improved Model Overview of the Model Experiment Results

323 views • 32 slides

Alon Lavie and Satanjeev Banerjee Language Technologies Institute Carnegie Mellon University

METEOR: M etric for E valuation of T ranslation with E xplicit Or dering An Automatic Metric for MT Evaluation with Improved Correlations with Human Judgments. Alon Lavie and Satanjeev Banerjee Language Technologies Institute Carnegie Mellon University With help from:

439 views • 31 slides

Automatic Evaluation of Summaries Using N-gram Co-Occurrence Statistics

Automatic Evaluation of Summaries Using N-gram Co-Occurrence Statistics. By Chin-Yew Lin and Eduard Hovy. The Document Understanding Conference. In 2002 there were two main tasks Summarization of single-documents Summarization of Multiple-documents. DUC Single Document Summarization.

351 views • 18 slides

Profile

NLP. NLP tools handle the SL input yielding an SL sequence annotated with grammatical & syntactic information. Lexicon Lookup. The SL sequence is enhanced by translation equivalents & PoS info, thus resembling a TL pattern. Core Engine.

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2010 Failures in Czech-English Phrase-Based MT

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