| conducted with the U.S. military . This paper | proposes | a practical approach employing <term> n-gram | #1243 This paper proposes a practical approach employing n-gram models and error-correction rules for Thai key prediction and Thai-English language identification. | ||
| language identification </term> . The paper also | proposes | <term> rule-reduction algorithm </term> applying | #1265 The paper also proposes rule-reduction algorithm applying mutual information to reduce the error-correction rules. | ||
| language generator </term> have recently been | proposed | , but a fundamental concern is whether | #2026 Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rule-based approaches. | ||
| a <term> baseline </term> of 54.55 % ) . We | propose | a new <term> phrase-based translation model | #2541 We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. | ||
| evaluate and compare several , previously | proposed | <term> phrase-based translation models </term> | #2560 We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. | ||
| output selection </term> . Furthermore , we | propose | the use of standard <term> parser evaluation | #2842 Furthermore, we propose the use of standard parser evaluation methods for automatically evaluating the summarization quality of sentence condensation systems. | ||
| phrase length </term> . In this paper , we | propose | a novel <term> Cooperative Model </term> for | #3483 In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. | ||
| quality <term> IE results </term> . This paper | proposes | the <term> Hierarchical Directed Acyclic | #3792 This paper proposes the Hierarchical Directed Acyclic Graph (HDAG) Kernel for structured natural language data. | ||
| of the <term> HDAGs </term> . We applied the | proposed | method to <term> question classification </term> | #3843 We applied the proposed method to question classification and sentence alignment tasks to evaluate its performance as a similarity measure and a kernel function. | ||
| A novel <term> evaluation scheme </term> is | proposed | which accounts for the effect of <term> polysemy | #3945 A novel evaluation scheme is proposed which accounts for the effect of polysemy on the clusters, offering us a good insight into the potential and limitations of semantically classifying undisambiguated SCF data. | ||
| accuracy </term> can be improved . This paper | proposes | a method for resolving this <term> ambiguity | #4220 This paper proposes a method for resolving this ambiguity based on statistical information obtained from dialogue corpora. | ||
| use <term> hand-crafted rules </term> , the | proposed | method enables easy design of the <term> | #4245 Unlike conventional methods that use hand-crafted rules, the proposed method enables easy design of the discourse understanding process. | ||
| that a <term> system </term> that exploits the | proposed | method performs sufficiently and that holding | #4266 Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates for understanding results is effective. | ||
| users </term> , the <term> user model </term> we | propose | is more comprehensive . Specifically , | #4319 Unlike previous studies that focus on user's knowledge or typical kinds of users, the user model we propose is more comprehensive. | ||
| means </term> for <term> grounding </term> , and | propose | a design for <term> embodied conversational | #5020 We investigate the verbal and nonverbal means for grounding, and propose a design for embodied conversational agents that relies on both kinds of signals to establish common ground in human-computer interaction. | ||
| from a <term> word-aligned corpora </term> is | proposed | . A <term> statistical translation model </term> | #5612 A method for producing such phrases from a word-aligned corpora is proposed. | ||
| are presented , that demonstrate how the | proposed | method allows to better generalize from | #5667 Experimental results are presented, that demonstrate how the proposed method allows to better generalize from the training data. | ||
| right-side dependencies </term> . This paper | proposes | a <term> two-phase shift-reduce dependency | #6677 This paper proposes a two-phase shift-reduce dependency parser based on SVM learning. | ||
| Phase II . In experimental evaluation , our | proposed | method outperforms previous <term> shift-reduce | #6716 In experimental evaluation, our proposed method outperforms previous shift-reduce dependency parsers for the Chine language, showing improvement of dependency accuracy by 10.08%. | ||
| conceptual cohesion </term> . In this paper , we | propose | and implement a model for bootstrapping | #7105 In this paper, we propose and implement a model for bootstrapping parallel wordnets based on one monolingual wordnet and a set of cross-lingual lexical semantic relations. |
