Derek F. Wong

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This paper introduces a graph-based semisupervised joint model of Chinese word segmentation and part-of-speech tagging. The proposed approach is based on a graph-based label propagation technique. One constructs a nearest-neighbor similarity graph over all trigrams of labeled and unlabeled data for propagating syntactic information, i.e., label(More)
We present a Chinese Named Entity Recognition (NER) system submitted to the close track of Sighan Bakeoff2006. We define some additional features via doing statistics in training corpus. Our system incorporates basic features and additional features based on Conditional Random Fields (CRFs). In order to correct inconsistently results, we perform the(More)
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data. This paper performs an in-depth analysis of three different sentence selection techniques. The first one is cosine tf-idf, which comes from the(More)
This paper is to introduce our participation in the WMT13 shared tasks on Quality Estimation for machine translation without using reference translations. We submitted the results for Task 1.1 (sentence-level quality estimation), Task 1.2 (system selection) and Task 2 (word-level quality estimation). In Task 1.1, we used an enhanced version of BLEU metric(More)
This paper addresses the problem of circuit clustering for delay minimization, subject to area capacity constraints. We use the general delay model, for which only heuristic solutions were known. We present an optimum polynomial-time algorithm for combinational circuits under this model. Our algorithm can be generalized to solve the problem under any(More)
This paper describes our ongoing work on grammatical error correction (GEC). Focusing on all possible error types in a real-life environment, we propose a factored statistical machine translation (SMT) model for this task. We consider error correction as a series of language translation problems guided by various linguistic information, as factors that(More)
Abstract Antenna problem is a phenomenon of plasma induced gate oxide degradation. It directly affects manufacturability of VLSI circuits, especially in deep-submicron technology using high density plasma. Diode insertion is a very effective way to solve this problem. Ideally diodes are inserted directly under the wires that violate antenna rules. But in(More)
Parallel corpus is a valuable resource for cross-language information retrieval and data-driven natural language processing systems, especially for Statistical Machine Translation (SMT). However, most existing parallel corpora to Chinese are subject to in-house use, while others are domain specific and limited in size. To a certain degree, this limits the(More)
This paper describes the NLP 2 CT Grammatical Error Detection and Correction system for the CoNLL 2013 shared task, with a focus on the errors of article or determiner (ArtOrDet), noun number (Nn), preposition (Prep), verb form (Vform) and subject-verb agreement (SVA). A hybrid model is adopted for this special task. The process starts with spellchecking as(More)