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Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality

Computer Science – Computation and Language
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Using Answer Set Programming in an Inference-Based approach to Natural Language Semantics

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Using Chinese Text Processing Technique for the Processing of Sanskrit Based Indian Languages: Maximum Resource Utilization and Maximum Compatibility

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Using Decision Trees for Coreference Resolution

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Using default inheritance to describe LTAG

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Using Description Logics for Recognising Textual Entailment

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Using descriptive mark-up to formalize translation quality assessment

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Using eigenvectors of the bigram graph to infer morpheme identity

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Using existing systems to supplement small amounts of annotated grammatical relations training data

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Using Higher-Order Logic Programming for Semantic Interpretation of Coordinate Constructs

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Using Information Content to Evaluate Semantic Similarity in a Taxonomy

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Using Inverse lambda and Generalization to Translate English to Formal Languages

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Using Learning-based Filters to Detect Rule-based Filtering Obsolescence

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Using Multiple Sources of Information for Constraint-Based Morphological Disambiguation

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Using phonetic constraints in acoustic-to-articulatory inversion

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Using sentence connectors for evaluating MT output

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Using Signals to Improve Automatic Classification of Temporal Relations

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Using Single Layer Networks for Discrete, Sequential Data: An Example from Natural Language Processing

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Using Soft Constraints To Learn Semantic Models Of Descriptions Of Shapes

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Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events

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