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Recent research has shown clear improvement in translation quality by exploiting linguistic syntax for either the source or target language. However, when using syntax for both languages (“tree-to-t...
Fine-grained opinion analysis methods often make use of linguistic features but typically do not take the interaction between opinions into account. This article describes a set of experiments that de...
We explore the contribution of lexical and inflectional morphology features to dependency parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled ex...
Features in categorization     Features  categorization       2015/9/7
A large body of linguistic literature is concerned with syntagmatic properties of linguistic features: how are features distributed, what is the domain of their operation, what happens when several ...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimize. Building on the w...
The narrative of a fi lm is oft en cited as the driving force for viewersattention to and engagement in a fi lm. Th e narrative is also conceptually the most vivid for fi lm viewers; it is not oft e...
I review the role of distinctive features in early generative theory, focusing on their multifaceted role as defined by Chomsky & Halle (1968) for capturing contrast, phonological patterns, and the ph...
Features and Values     Features and Values       2015/6/18
The paper discusses the linguistic aspects of a new general purpose facility for computing with features. The program was developed in connection with the course I taught at the University of Texas in...
Part-of-speech tagging, like any supervised statistical NLP task, is more difficult when test sets are very different from training sets, for example when tagging across genres or language varieties. ...
This paper advocates a new architecture for textual inference in which finding a good alignment is separated from evaluating entailment. Current approaches to semantic inference in question answering ...
We show a number of improvements in the use of Hidden Conditional Random Fields (HCRFs) for phone classification on the TIMIT and Switchboard corpora. We first show that the use of regularization effe...
We present two regression models for the prediction of pairwise preference judgments among MT hypotheses. Both models are based on feature sets that are motivated by textual entailment and incorporate...
The prevalence in Chinese of grammatical structures that translate into English in different word orders is an important cause of translation difficulty. While previous work has used phrase-structure ...

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