• Publications
  • Influence
Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric
TLDR
We introduce 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. Expand
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TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate
TLDR
This paper describes a new evaluation metric, TER-Plus (TERp) for automatic evaluation of machine translation (MT). Expand
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CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description
TLDR
The CUNY-BLENDER team participated in the following tasks in TAC-KBP2010: Regular Entity Linking, Regular Slot Filling and Surprise Slot filling task (per:disease slot). Expand
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Language and Translation Model Adaptation using Comparable Corpora
TLDR
This paper describes a novel method for utilizing monolingual target data to improve the performance of a statistical machine translation system on news stories. Expand
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A Lexically-Driven Algorithm for Disfluency Detection
TLDR
This paper describes a transformation-based learning approach to disfluency detection in speech transcripts using primarily lexical features, thus demonstrating that reasonable performance can be achieved without extensive prosodic cues. Expand
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SParseval: Evaluation Metrics for Parsing Speech
TLDR
We have developed a publicly available tool for scoring parses that implements a variety of metrics which can handle mismatches in words and segmentations, including: alignment- based bracket evaluation, alignment-based dependency evaluation, and a dependency evaluation that does not require alignment. Expand
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Unsupervised Learning of Morphology Using a Novel Directed Search Algorithm: Taking the First Step
TLDR
This paper describes a system for the unsupervised learning of morphological suffixes and stems from word lists, based on a generative probability model and a novel search algorithm. Expand
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Reranking for Sentence Boundary Detection in Conversational Speech
  • B. Roark, Yang Liu, +8 authors L. Yung
  • Computer Science
  • IEEE International Conference on Acoustics Speech…
  • 14 May 2006
TLDR
We present a reranking approach to sentence-like unit (SU) boundary detection, one of the EARS metadata extraction tasks. Expand
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PCFGs with Syntactic and Prosodic Indicators of Speech Repairs
TLDR
A grammatical method of combining two kinds of speech repair cues is presented. Expand
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A Bayesian Model for Morpheme and Paradigm Identification
TLDR
This paper describes a system for unsupervised learning of morphological affixes from texts or word lists using a generative probability model and a search algorithm. Expand
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