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JHU experiments in monolingual farsi document retrieval at CLEF 2009

JHU experiments in monolingual farsi document retrieval at C...

引用

2009 Cross language Evaluation Forum Workshop, CLEF 2009, co-located with the 13th European Conference on Digital Libraries, ECDL 2009

作者： McNamee, Paul Center of Excellence JHU Human Language Technology United States

At CLEF 2009 JHU submitted runs in the ad hoc track for the monolingual Persian evaluation. Variants of character n-gram tokenization provided a 10% relative gain over unnormalized words. A run based on skip n-grams, which allow internal skipped letters, achieved a mean average precision of 0.4938. Using traditional 5-grams resulted in a score of 0.4868 while plain words had a score of 0.4463.

关键词： Information retrieval

来源：评论

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Pali-Thai dictionary: A semi-automatic approach on form-based to content-based structure

Pali-Thai dictionary: A semi-automatic approach on form-base...

引用

17th International Conference on Computers in Education, ICCE 2009

作者： Ruangrajitpakorn, Taneth Supnithi, Thepchai Text Processing Section Human Language Technology Lab. Nationals Electronics and Computer Technology Center Thailand

ISBN: (纸本)9789868473553

There are several dictionaries which are developed in form-based electronics format. Since these are designed to use only on manuscript dictionary, they are limited on usage in other ways, such as electronic dictionary with word associations, translation, question answering, content retrieval, and so on. Content based dictionary is more flexible to apply to such applications. In this paper, we describe the methodology to transform a form-based to content based structure in Pali-Thai dictionary. This dictionary aims to be an infrastructure for many applications in Buddhism domain.

关键词： Bali Content-based structure Dictionary Making Process Form-based structure Thai

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Demonstration of Joshua: An open source toolkit for parsing-based machine translation

Demonstration of Joshua: An open source toolkit for parsing-...

引用

Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural language processing of the AFNLP, ACL-IJCNLP 2009

作者： Li, Zhifei Callison-Burch, Chris Dyer, Chris Ganitkevitch, Juri Khudanpur, Sanjeev Schwartz, Lane Thornton, Wren N.G. Weese, Jonathan Zaidan, Omar F. Center for Language and Speech Processing Johns Hopkins University United States Computational Linguistics and Information Processing Lab. University of Maryland United States Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Natural Language Processing Lab. University of Minnesota United States

ISBN: (纸本)9781617382581

We describe Joshua (Li et al., 2009a)1, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronous context free grammars (SCFGs): chart-parsing, n-gram language model integration, beam- and cubepruning, and k-best extraction. The toolkit also implements suffix-array grammar extraction and minimum error rate training. It uses parallel and distributed computing techniques for scalability. We also provide a demonstration outline for illustrating the toolkit's features to potential users, whether they be newcomers to the field or power users interested in extending the toolkit. © 2009 ACL and AFNLP.

关键词： Distributed computer systems

来源：评论

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OWL as a target for information extraction systems

OWL as a target for information extraction systems

引用

4th OWLED Workshop on OWL: Experiences and Directions, OWLED 2008

作者： Fink, Clay Finin, Tim Mayfield, James Piatko, Christine Johns Hopkins University Applied Physics Laboratory Human Language Technology Center of Excellence United States

Current information extraction systems can do a good job of discov-ering entities, relations and events in natural language text. The traditional out-put of such systems is XML, with the ACE Pilot Format (APF) schema as a common target. We are developing a system that will take the output of an in-formation extraction system as APF documents and directly populate a knowl-edge base with the information extracted. We report on an initial OWL ontol-ogy that covers the APF schema, a simple program to convert a set of APF documents to RDF data and a demonstration system build with Exhibit to view the results.

关键词： Information retrieval systems

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Joshua: An Open Source Toolkit for Parsing-based Machine Translation 4

Joshua: An Open Source Toolkit for Parsing-based Machine Tra...

引用

4th Workshop on Statistical Machine Translation, WMT 2009, immediately preceding the 12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009

作者： Li, Zhifei Callison-Burch, Chris Dyer, Chris Ganitkevitch, Juri Khudanpur, Sanjeev Schwartz, Lane Thornton, Wren N. G. Weese, Jonathan Zaidan, Omar F. Center For Language And Speech Processing Johns Hopkins University BaltimoreMD United States Computational Linguistics And Information Processing Lab University of Maryland College ParkMD United States Human Language Technology And Pattern Recognition Group RWTH Aachen University Germany Natural Language Processing Lab University of Minnesota MinneapolisMN United States

We describe Joshua, an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for synchronous context free grammars (SCFGs): chart-parsing, ngram language model integration, beamand cube-pruning, and k-best extraction. The toolkit also implements suffix-array grammar extraction and minimum error rate training. It uses parallel and distributed computing techniques for scalability. We demonstrate that the toolkit achieves state of the art translation performance on the WMT09 French-English translation task. ©2009 Association for Computational Linguistics.

关键词： Distributed computer systems

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Structural, transitive and latent models for biographie fact extraction

Structural, transitive and latent models for biographie fact...

引用

12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009

作者： Garera, Nikesh Yarowsky, David Department of Computer Science Johns Hopkins University Human Language Technology Center of Excellence Baltimore MD United States

ISBN: (纸本)9781932432169

This paper presents six novel approaches to biographic fact extraction that model structural, transitive and latent properties of biographical data. The ensemble of these proposed models substantially outperforms standard pattern-based biographic fact extraction methods and performance is further improved by modeling inter-attribute correlations and distributions over functions of attributes, achieving an average extraction accuracy of 80% over seven types of biographic attributes. © 2009 Association for Computational Linguistics.

关键词： Extraction

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Modeling Latent Biographic Attributes in Conversational Genres

Modeling Latent Biographic Attributes in Conversational Genr...

引用

Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural language processing of the AFNLP, ACL-IJCNLP 2009

作者： Garera, Nikesh Yarowsky, David Department of Computer Science Johns Hopkins University Human Language Technology Center of Excellence BaltimoreMD United States

ISBN: (纸本)9781617382581

This paper presents and evaluates several original techniques for the latent classification of biographic attributes such as gender, age and native language, in diverse genres (conversation transcripts, email) and languages (Arabic, English). First, we present a novel partner-sensitive model for extracting biographic attributes in conversations, given the differences in lexical usage and discourse style such as observed between same-gender and mixed-gender conversations. Then, we explore a rich variety of novel sociolinguistic and discourse-based features, including mean utterance length, passive/active usage, percentage domination of the conversation, speaking rate and filler word usage. Cumulatively up to 20% error reduction is achieved relative to the standard Boulis and Ostendorf (2005) algorithm for classifying individual conversations on Switchboard, and accuracy for gender detection on the Switchboard corpus (aggregate) and Gulf Arabic corpus exceeds 95%. © 2009 ACL and AFNLP.

关键词： Natural language processing systems

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Fluency, Adequacy, or HTER? Exploring Different human Judgments with a Tunable MT Metric 4

Fluency, Adequacy, or HTER? Exploring Different Human Judgme...

引用

4th Workshop on Statistical Machine Translation, WMT 2009, immediately preceding the 12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009

作者： Snover, Matthew Madnani, Nitin Dorr, Bonnie J. Schwartz, Richard Laboratory For Computational Linguistics And Information Processing Institute For Advanced Computer Studies University of Maryland College Park United States Human Language Technology Center of Excellence Bbn Technologies

Automatic Machine Translation (MT) evaluation metrics have traditionally been evaluated by the correlation of the scores they assign to MT output with human judgments of translation performance. Different types of human judgments, such as Fluency, Adequacy, and HTER, measure varying aspects of MT performance that can be captured by automatic MT metrics. We explore these differences through the use of a new tunable MT metric: TER-Plus, which extends the Translation Edit Rate evaluation metric with tunable parameters and the incorporation of morphology, synonymy and paraphrases. TER-Plus was shown to be one of the top metrics in NIST's Metrics MATR 2008 Challenge, having the highest average rank in terms of Pearson and Spearman correlation. Optimizing TER-Plus to different types of human judgments yields significantly improved correlations and meaningful changes in the weight of different types of edits, demonstrating significant differences between the types of human judgments. ©2009 Association for Computational Linguistics.

关键词： Machine translation

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Improving a simple bigram HMM part-of-speech tagger by latent annotation and self-training

Improving a simple bigram HMM part-of-speech tagger by laten...

引用

2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL-HLT 2009

作者： Huang, Zhongqiang Eidelman, Vladimir Harper, Mary Laboratory for Computational Linguistics and Information Processing Institute for Advanced Computer Studies University of Maryland College Park United States Human Language Technology Center of Excellence Johns Hopkins University United States

ISBN: (纸本)9781932432428

In this paper, we describe and evaluate a bigram part-of-speech (POS) tagger that uses latent annotations and then investigate using additional genre-matched unlabeled data for self-training the tagger. The use of latent annotations substantially improves the performance of a baseline HMM bigram tagger, outperforming a trigram HMM tagger with sophisticated smoothing. The performance of the latent tagger is further enhanced by self-training with a large set of unlabeled data, even in situations where standard bigram or trigram taggers do not benefit from self-training when trained on greater amounts of labeled training data. Our best model obtains a state-of-the-art Chinese tagging accuracy of 94.78% when evaluated on a representative test set of the Penn Chinese Treebank 6.0. © 2009 Association for Computational Linguistics

关键词： Computational linguistics

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A joint language model with fine-grain syntactic tags

A joint language model with fine-grain syntactic tags

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2009 Conference on Empirical Methods in Natural language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Filimonov, Denis Harper, Mary Laboratory for Computational Linguistics and Information Processing Institute for Advanced Computer Studies University of Maryland College Park United States Human Language Technology Center of Excellence Johns Hopkins University United States

We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to large tagsets and corpora. We advocate the use of relatively simple tags that do not require deep linguistic knowledge of the language but provide more structural information than POS tags and can be derived from automatically generated parse trees - a combination of properties that allows easy adoption of this model for new languages. We propose two fine-grain tagsets and evaluate our model using these tags, as well as POS tags and SuperARV tags in a speech recognition task and discuss future directions. © 2009 ACL and AFNLP.

关键词： Syntactics

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