Alon Lavie

Also published as: A. Lavie


2020

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COMET - Deploying a New State-of-the-art MT Evaluation Metric in Production
Craig Stewart | Ricardo Rei | Catarina Farinha | Alon Lavie
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)

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COMET: A Neural Framework for MT Evaluation
Ricardo Rei | Craig Stewart | Ana C Farinha | Alon Lavie
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

We present COMET, a neural framework for training multilingual machine translation evaluation models which obtains new state-of-the-art levels of correlation with human judgements. Our framework leverages recent breakthroughs in cross-lingual pretrained language modeling resulting in highly multilingual and adaptable MT evaluation models that exploit information from both the source input and a target-language reference translation in order to more accurately predict MT quality. To showcase our framework, we train three models with different types of human judgements: Direct Assessments, Human-mediated Translation Edit Rate and Multidimensional Quality Metric. Our models achieve new state-of-the-art performance on the WMT 2019 Metrics shared task and demonstrate robustness to high-performing systems.

2016

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Synthesizing Compound Words for Machine Translation
Austin Matthews | Eva Schlinger | Alon Lavie | Chris Dyer
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2015

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Humor Recognition and Humor Anchor Extraction
Diyi Yang | Alon Lavie | Chris Dyer | Eduard Hovy
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

2014

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Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation
Michael Denkowski | Chris Dyer | Alon Lavie
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

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Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter
Michael Denkowski | Alon Lavie | Isabel Lacruz | Chris Dyer
Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted Translation

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The CMU Machine Translation Systems at WMT 2014
Austin Matthews | Waleed Ammar | Archna Bhatia | Weston Feely | Greg Hanneman | Eva Schlinger | Swabha Swayamdipta | Yulia Tsvetkov | Alon Lavie | Chris Dyer
Proceedings of the Ninth Workshop on Statistical Machine Translation

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Meteor Universal: Language Specific Translation Evaluation for Any Target Language
Michael Denkowski | Alon Lavie
Proceedings of the Ninth Workshop on Statistical Machine Translation

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Domain and Dialect Adaptation for Machine Translation into Egyptian Arabic
Serena Jeblee | Weston Feely | Houda Bouamor | Alon Lavie | Nizar Habash | Kemal Oflazer
Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)

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Locally Non-Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization
Jonathan H. Clark | Chris Dyer | Alon Lavie
Transactions of the Association for Computational Linguistics, Volume 2

Linear models, which support efficient learning and inference, are the workhorses of statistical machine translation; however, linear decision rules are less attractive from a modeling perspective. In this work, we introduce a technique for learning arbitrary, rule-local, non-linear feature transforms that improve model expressivity, but do not sacrifice the efficient inference and learning associated with linear models. To demonstrate the value of our technique, we discard the customary log transform of lexical probabilities and drop the phrasal translation probability in favor of raw counts. We observe that our algorithm learns a variation of a log transform that leads to better translation quality compared to the explicit log transform. We conclude that non-linear responses play an important role in SMT, an observation that we hope will inform the efforts of feature engineers.

2013

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The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References
Waleed Ammar | Victor Chahuneau | Michael Denkowski | Greg Hanneman | Wang Ling | Austin Matthews | Kenton Murray | Nicola Segall | Alon Lavie | Chris Dyer
Proceedings of the Eighth Workshop on Statistical Machine Translation

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Improving Syntax-Augmented Machine Translation by Coarsening the Label Set
Greg Hanneman | Alon Lavie
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Grouping Language Model Boundary Words to Speed K–Best Extraction from Hypergraphs
Kenneth Heafield | Philipp Koehn | Alon Lavie
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2012

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The CMU-Avenue French-English Translation System
Michael Denkowski | Greg Hanneman | Alon Lavie
Proceedings of the Seventh Workshop on Statistical Machine Translation

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Language Model Rest Costs and Space-Efficient Storage
Kenneth Heafield | Philipp Koehn | Alon Lavie
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

2011

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Automatic Category Label Coarsening for Syntax-Based Machine Translation
Greg Hanneman | Alon Lavie
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation

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A General-Purpose Rule Extractor for SCFG-Based Machine Translation
Greg Hanneman | Michelle Burroughs | Alon Lavie
Proceedings of Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation

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Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
Michael Denkowski | Alon Lavie
Proceedings of the Sixth Workshop on Statistical Machine Translation

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CMU System Combination in WMT 2011
Kenneth Heafield | Alon Lavie
Proceedings of the Sixth Workshop on Statistical Machine Translation

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CMU Syntax-Based Machine Translation at WMT 2011
Greg Hanneman | Alon Lavie
Proceedings of the Sixth Workshop on Statistical Machine Translation

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Unsupervised Word Alignment with Arbitrary Features
Chris Dyer | Jonathan H. Clark | Alon Lavie | Noah A. Smith
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability
Jonathan H. Clark | Chris Dyer | Alon Lavie | Noah A. Smith
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Extending the METEOR Machine Translation Evaluation Metric to the Phrase Level
Michael Denkowski | Alon Lavie
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk
Michael Denkowski | Alon Lavie
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk

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Turker-Assisted Paraphrasing for English-Arabic Machine Translation
Michael Denkowski | Hassan Al-Haj | Alon Lavie
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk

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Improved Features and Grammar Selection for Syntax-Based MT
Greg Hanneman | Jonathan Clark | Alon Lavie
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

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CMU Multi-Engine Machine Translation for WMT 2010
Kenneth Heafield | Alon Lavie
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

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METEOR-NEXT and the METEOR Paraphrase Tables: Improved Evaluation Support for Five Target Languages
Michael Denkowski | Alon Lavie
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

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LoonyBin: Keeping Language Technologists Sane through Automated Management of Experimental (Hyper)Workflows
Jonathan H. Clark | Alon Lavie
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Many contemporary language technology systems are characterized by long pipelines of tools with complex dependencies. Too often, these workflows are implemented by ad hoc scripts; or, worse, tools are run manually, making experiments difficult to reproduce. These practices are difficult to maintain in the face of rapidly evolving workflows while they also fail to expose and record important details about intermediate data. Further complicating these systems are hyperparameters, which often cannot be directly optimized by conventional methods, requiring users to determine which combination of values is best via trial and error. We describe LoonyBin, an open-source tool that addresses these issues by providing: 1) a visual interface for the user to create and modify workflows; 2) a well-defined mechanism for tracking metadata and provenance; 3) a script generator that compiles visual workflows into shell scripts; and 4) a new workflow representation we call a HyperWorkflow, which intuitively and succinctly encodes small experimental variations within a larger workflow.

2009

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Machine Translation System Combination with Flexible Word Ordering
Kenneth Heafield | Greg Hanneman | Alon Lavie
Proceedings of the Fourth Workshop on Statistical Machine Translation

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An Improved Statistical Transfer System for French-English Machine Translation
Greg Hanneman | Vamshi Ambati | Jonathan H. Clark | Alok Parlikar | Alon Lavie
Proceedings of the Fourth Workshop on Statistical Machine Translation

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Decoding with Syntactic and Non-Syntactic Phrases in a Syntax-Based Machine Translation System
Greg Hanneman | Alon Lavie
Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation (SSST-3) at NAACL HLT 2009

2008

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Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages
Christian Monson | Ariadna Font Llitjós | Vamshi Ambati | Lori Levin | Alon Lavie | Alison Alvarez | Roberto Aranovich | Jaime Carbonell | Robert Frederking | Erik Peterson | Katharina Probst
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Producing machine translation (MT) for the many minority languages in the world is a serious challenge. Minority languages typically have few resources for building MT systems. For many minor languages there is little machine readable text, few knowledgeable linguists, and little money available for MT development. For these reasons, our research programs on minority language MT have focused on leveraging to the maximum extent two resources that are available for minority languages: linguistic structure and bilingual informants. All natural languages contain linguistic structure. And although the details of that linguistic structure vary from language to language, language universals such as context-free syntactic structure and the paradigmatic structure of inflectional morphology, allow us to learn the specific details of a minority language. Similarly, most minority languages possess speakers who are bilingual with the major language of the area. This paper discusses our efforts to utilize linguistic structure and the translation information that bilingual informants can provide in three sub-areas of our rapid development MT program: morphology induction, syntactic transfer rule learning, and refinement of imperfect learned rules.

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Meteor, M-BLEU and M-TER: Evaluation Metrics for High-Correlation with Human Rankings of Machine Translation Output
Abhaya Agarwal | Alon Lavie
Proceedings of the Third Workshop on Statistical Machine Translation

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Statistical Transfer Systems for French-English and German-English Machine Translation
Greg Hanneman | Edmund Huber | Abhaya Agarwal | Vamshi Ambati | Alok Parlikar | Erik Peterson | Alon Lavie
Proceedings of the Third Workshop on Statistical Machine Translation

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Syntax-Driven Learning of Sub-Sentential Translation Equivalents and Translation Rules from Parsed Parallel Corpora
Alon Lavie | Alok Parlikar | Vamshi Ambati
Proceedings of the ACL-08: HLT Second Workshop on Syntax and Structure in Statistical Translation (SSST-2)

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Evaluating an Agglutinative Segmentation Model for ParaMor
Christian Monson | Alon Lavie | Jaime Carbonell | Lori Levin
Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology

2007

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High-accuracy Annotation and Parsing of CHILDES Transcripts
Kenji Sagae | Eric Davis | Alon Lavie | Brian MacWhinney | Shuly Wintner
Proceedings of the Workshop on Cognitive Aspects of Computational Language Acquisition

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METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
Alon Lavie | Abhaya Agarwal
Proceedings of the Second Workshop on Statistical Machine Translation

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Cross Lingual and Semantic Retrieval for Cultural Heritage Appreciation
Idan Szpektor | Ido Dagan | Alon Lavie | Danny Shacham | Shuly Wintner
Proceedings of the Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007).

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ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis
Christian Monson | Jaime Carbonell | Alon Lavie | Lori Levin
Proceedings of Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology

2006

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A Best-First Probabilistic Shift-Reduce Parser
Kenji Sagae | Alon Lavie
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

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Parser Combination by Reparsing
Kenji Sagae | Alon Lavie
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers

2005

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A framework for interactive and automatic refinement of transfer-based machine translation
Ariadna Font Llitjós | Jaime G. Carbonell | Alon Lavie
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

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Multi-engine machine translation guided by explicit word matching
Shyamsundar Jayaraman | Alon Lavie
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

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BLANC: Learning Evaluation Metrics for MT
Lucian Lita | Monica Rogati | Alon Lavie
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

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Automatic Measurement of Syntactic Development in Child Language
Kenji Sagae | Alon Lavie | Brian MacWhinney
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

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Multi-Engine Machine Translation Guided by Explicit Word Matching
Shyamsundar Jayaraman | Alon Lavie
Proceedings of the ACL Interactive Poster and Demonstration Sessions

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Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization
Jade Goldstein | Alon Lavie | Chin-Yew Lin | Clare Voss
Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization

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METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
Satanjeev Banerjee | Alon Lavie
Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization

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A Classifier-Based Parser with Linear Run-Time Complexity
Kenji Sagae | Alon Lavie
Proceedings of the Ninth International Workshop on Parsing Technology

2004

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A trainable transfer-based MT approach for languages with limited resources
Alon Lavie | Katharina Probst | Erik Peterson | Stephan Vogel | Lori Levin | Ariadna Font-Llitjos | Jaime Carbonell
Proceedings of the 9th EAMT Workshop: Broadening horizons of machine translation and its applications

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Data Collection and Analysis of Mapudungun Morphology for Spelling Correction
Christian Monson | Lori Levin | Rodolfo Vega | Ralf Brown | Ariadna Font Llitjos | Alon Lavie | Jaime Carbonell | Eliseo Cañulef | Rosendo Huisca
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Adding Syntactic Annotations to Transcripts of Parent-Child Dialogs
Kenji Sagae | Brian MacWhinney | Alon Lavie
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Unsupervised Induction of Natural Language Morphology Inflection Classes
Christian Monson | Alon Lavie | Jaime Carbonell | Lori Levin
Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology

2003

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Domain Specific Speech Acts for Spoken Language Translation
Lori Levin | Chad Langley | Alon Lavie | Donna Gates | Dorcas Wallace | Kay Peterson
Proceedings of the Fourth SIGdial Workshop of Discourse and Dialogue

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Parsing Domain Actions with Phrase-Level Grammars and Memory-Based Learners
Chad Langley | Alon Lavie
Proceedings of the Eighth International Conference on Parsing Technologies

In this paper, we describe an approach to analysis for spoken language translation that combines phrase-level grammar-based parsing and automatic domain action classification. The job of the analyzer is to transform utterances into a shallow semantic task-oriented interlingua representation. The goal of our hybrid approach is to provide accurate real-time analyses and to improve robustness and portability to new domains and languages.

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Combining Rule-based and Data-driven Techniques for Grammatical Relation Extraction in Spoken Language
Kenji Sagae | Alon Lavie
Proceedings of the Eighth International Conference on Parsing Technologies

We investigate an aspect of the relationship between parsing and corpus-based methods in NLP that has received relatively little attention: coverage augmentation in rule-based parsers. In the specific task of determining grammatical relations (such as subjects and objects) in transcribed spoken language, we show that a combination of rule-based and corpus-based approaches, where a rule-based system is used as the teacher (or an automatic data annotator) to a corpus-based system, outperforms either system in isolation.

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Speechalator: Two-Way Speech-to-Speech Translation in Your Hand
Alex Waibel | Ahmed Badran | Alan W. Black | Robert Frederking | Donna Gates | Alon Lavie | Lori Levin | Kevin Lenzo | Laura Mayfield Tomokiyo | Juergen Reichert | Tanja Schultz | Dorcas Wallace | Monika Woszczyna | Jing Zhang
Companion Volume of the Proceedings of HLT-NAACL 2003 - Demonstrations

2002

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Spoken Language Parsing Using Phrase-Level Grammars and Trainable Classifiers
Chad Langley | Alon Lavie | Lori Levin | Dorcas Wallace | Donna Gates | Kay Peterson
Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems

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Balancing Expressiveness and Simplicity in an Interlingua for Task Based Dialogue
Lori Levin | Donna Gates | Dorcas Pianta | Roldano Cattoni | Nadia Mana | Kay Peterson | Alon Lavie | Fabio Pianesi
Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems

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A Multi-Perspective Evaluation of the NESPOLE! Speech-to-Speech Translation System
Alon Lavie | Florian Metze | Roldano Cattoni | Erica Costantini
Proceedings of the ACL-02 Workshop on Speech-to-Speech Translation: Algorithms and Systems

2001

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Architecture and Design Considerations in NESPOLE!: a Speech Translation System for E-commerce Applications
Alon Lavie | Chad Langley | Alex Waibel | Fabio Pianesi | Gianni Lazzari | Paolo Coletti | Loredana Taddei | Franco Balducci
Proceedings of the First International Conference on Human Language Technology Research

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Domain Portability in Speech-to-Speech Translation
Alon Lavie | Lori Levin | Tanja Schultz | Chad Langley | Benjamin Han | Alicia Tribble | Donna Gates | Dorcas Wallace | Kay Peterson
Proceedings of the First International Conference on Human Language Technology Research

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Parsing the CHILDES Database: Methodology and Lessons Learned
Kenji Sagae | Alon Lavie | Brian MacWhinney
Proceedings of the Seventh International Workshop on Parsing Technologies

2000

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Lessons Learned from a Task-based Evaluation of Speech-to-Speech Machine Translation
Lori Levin | Boris Bartlog | Ariadna Font Llitjos | Donna Gates | Alon Lavie | Dorcas Wallace | Taro Watanabe | Monika Woszczyna
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

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Shallow Discourse Genre Annotation in CallHome Spanish
Klaus Ries | Lori Levin | Liza Valle | Alon Lavie | Alex Waibel
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

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Optimal Ambiguity Packing in Context-free Parsers with Interleaved Unification
Alon Lavie | Carolyn Penstein Rosé
Proceedings of the Sixth International Workshop on Parsing Technologies

Ambiguity packing is a well known technique for enhancing the efficiency of context-free parsers. However, in the case of unification-augmented context-free parsers where parsing is interleaved with feature unification, the propagation of feature structures imposes difficulties on the ability of the parser to effectively perform ambiguity packing. We demonstrate that a clever heuristic for prioritizing the execution order of grammar rules and parsing actions can achieve a high level of ambiguity packing that is provably optimal. We present empirical evaluations of the proposed technique, performed with both a Generalized LR parser and a chart parser, that demonstrate its effectiveness.

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Evaluation of a Practical Interlingua for Task-Oriented Dialogue
Lori Levin | Donna Gates | Alon Lavie | Fabio Pianesi | Dorcas Wallace | Taro Watanabe
NAACL-ANLP 2000 Workshop: Applied Interlinguas: Practical Applications of Interlingual Approaches to NLP

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Proceedings of the Sixth International Workshop on Parsing Technologies

1999

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Tagging of Speech Acts and Dialogue Games in Spanish Call Home
Lori Levin | Klaus Ries | Ann Thyme-Gobbel | Alon Lavie
Towards Standards and Tools for Discourse Tagging

1997

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An Efficient Distribution of Labor in a Two Stage Robust Interpretation Process
Carolyn Penstein Rose | Alon Lavie
Second Conference on Empirical Methods in Natural Language Processing

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Expanding the Domain of a Multi-lingual Speech-to-Speech Translation System
Alon Lavie | Lori Levin | Puming Zhan | Maite Taboada | Donna Gates | Mirella Lapata | Cortis Clark | Matthew Broadhead | Alex Waibel
Spoken Language Translation

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Proceedings of the Fifth International Workshop on Parsing Technologies

1996

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Multi-lingual Translation of Spontaneously Spoken Language in a Limited Domain
Alon Lavie | Donna Gates | Marsal Gavalda | Laura Mayfield | Alex Waibel | Lori Levin
COLING 1996 Volume 1: The 16th International Conference on Computational Linguistics

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JANUS: multi-lingual translation of spontaneous speech in limited domain
Alon Lavie | Lori Levin | Alex Waibel | Donna Gates | Marsal Gavalda | Laura Mayfield
Conference of the Association for Machine Translation in the Americas

1994

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An Integrated Heuristic Scheme for Partial Parse Evaluation
Alon Lavie
32nd Annual Meeting of the Association for Computational Linguistics

1993

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GLR* – An Efficient Noise-skipping Parsing Algorithm For Context Free Grammars
Alon Lavie | Masaru Tomita
Proceedings of the Third International Workshop on Parsing Technologies

This paper describes GLR*, a parser that can parse any input sentence by ignoring unrecognizable parts of the sentence. In case the standard parsing procedure fails to parse an input sentence, the parser nondeterministically skips some word(s) in the sentence, and returns the parse with fewest skipped words. Therefore, the parser will return some parse(s) with any input sentence, unless no part of the sentence can be recognized at all. The problem can be defined in the following way: Given a context-free grammar G and a sentence S, find and parse S' – the largest subset of words of S, such that S' ∈ L(G). The algorithm described in this paper is a modification of the Generalized LR (Tomita) parsing algorithm [Tomita, 1986] . The parser accommodates the skipping of words by allowing shift operations to be performed from inactive state nodes of the Graph Structured Stack. A heuristic similar to beam search makes the algorithm computationally tractable. There have been several other approaches to the problem of robust parsing, most of which are special purpose algorithms [Carbonell and Hayes, 1984] , [Ward, 1991] and others. Because our approach is a modification to a standard context-free parsing algorithm, all the techniques and grammars developed for the standard parser can be applied as they are. Also, in case the input sentence is by itself grammatical, our parser behaves exactly as the standard GLR parser. The modified parser, GLR*, has been implemented and integrated with the latest version of the Generalized LR Parser/Compiler [Tomita et al , 1988], [Tomita, 1990]. We discuss an application of the GLR* parser to spontaneous speech understanding and present some preliminary tests on the utility of the GLR* parser in such settings.

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Recent Advances in Janus: A Speech Translation System
M. Woszczyna | N. Coccaro | A. Eisele | A. Lavie | A. McNair | T. Polzin | I. Rogina | C. P. Rose | T. Sloboda | M. Tomita | J. Tsutsumi | N. Aoki-Waibel | A. Waibel | W. Ward
Human Language Technology: Proceedings of a Workshop Held at Plainsboro, New Jersey, March 21-24, 1993

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