Báo cáo khoa học: "A Tree Transducer Model for Synchronous Tree-Adjoining Grammars" pdf
Báo cáo khoa học: "A Tree Transducer Model for Synchronous Tree-Adjoining Grammars" pdf
... Association for Computational Linguistics, pages 1067–1076,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
A Tree Transducer Model for Synchronous Tree- Adjoining ... (2009) for a more
detailed exposition to XTT.
5 Synchronous tree- adjoining grammar
XTT are a simple, natural model for tree trans-
formations, however they are not...
Tài liệu Báo cáo khoa học: "A Hybrid Hierarchical Model for Multi-Document Summarization" ppt
... paper, we formulate ex-
tractive summarization as a two step learn-
ing problem building a generative model
for pattern discovery and a regression
model for inference. We calculate scores
for sentences ... hierarchical model and re-
gression model to score sentences in new docu-
ments, eliminating the need for building a genera-
tive model for new document clusters.
3 Summ...
Tài liệu Báo cáo khoa học: "A Unified Graph Model for Sentence-based Opinion Retrieval" pdf
... of the Association for Computational Linguistics, pages 1367–1375,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
A Unified Graph Model for Sentence-based ... relevant to the target concerned.
Therefore, we argue that existing information
representation i.e. bag-of-word, cannot satisfy
the information needs for opinion retrieval.
In this pape...
Tài liệu Báo cáo khoa học: "A probabilistic generative model for an intermediate constituency-dependency representation" pptx
... re-ranking model performs rather well for
a limited number of candidate structures, and out-
performs Charniak’s model when k = 5. In this
case we observe a small boost in performance for
the detection ... the art parser
for PS trees (Charniak, 1999), and transform each
candidate to TDS. This strategy can be considered
a first step to efficiently test and compare different
models befo...
Tài liệu Báo cáo khoa học: "A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean" pdf
... 61–64,
Prague, June 2007.
c
2007 Association for Computational Linguistics
A Joint Statistical Model for Simultaneous Word Spacing and
Spelling Error Correction for Korean
Hyungjong Noh* Jeong-Won ... network
8
4 Experiments and Analyses
4.1 Corpus Information
Table 1: Corpus information
Table 1 shows the information of corpus which is
used for experiments. All corpora ar...
Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx
... June 2005.
c
2005 Association for Computational Linguistics
A Phonotactic Language Model for Spoken Language Identification
Haizhou Li and Bin Ma
Institute for Infocomm Research
Singapore ... acoustic to-
kens to form a unified acoustic vocabulary in our
voice tokenizer. Readers are referred to (Ma
et al.
,
2005) for details of acoustic modeling.
3.1 Vector Space Modeling...
Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt
... blocks for for which
.
560
4 Online Training of Maximum-entropy
Model
The local model described in Section 3 leads to the fol-
lowing abstract maximum entropy training formulation:
(8)
In this formulation, ... is
obtained for this model. The ’SWAP & OR’ model uses
an orientation model as described in Section 3. Here, we
obtain a small but significant improvement over the base-...
Tài liệu Báo cáo khoa học: "A SPEECH-FIRST MODEL FOR REPAIR DETECTION AND CORRECTION" docx
... cues for repair processing.
Discussion
In this paper, we have presented a"speech-first" model,
the Repair Interval Model, for studying repairs in spon-
taneous speech. This model ...
precisely labeled in our corpus only for repair locations
and not for fluent speech./2
We trained prediction trees, using Classification
and Regression Tree (CART) techniques (Brie...
Báo cáo khoa học: "A Cascaded Linear Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging" pdf
... each feture. ALL: all features,
PER: perceptron model, WLM: word language model,
PLM: POS language model, GPR: generating model,
LPR: labelling model, LEN: word count penalty.
LM with Witten-Bell ... algorithm.
1: Input: character sequence C
1:n
2: for i ← 1 n do
3: L ← ∅
4: for l ← 1 min(i, K) do
5: w ← C
i−l+1:i
6: for t ∈ P OS do
7: p ← label w as t
8: for q ∈ V[i − l] do
9:...
Báo cáo khoa học: "A Unified Statistical Model for the Identification of English BaseNP" pptx
... section of the Penn
Treebank Wall Street Journal (Penn Treebank).
Ramshaw & Markus (1998) applied transform-
based error-driven algorithm (Brill 1995) to
learn a set of transformation rules, ... the 25 sections of Penn Treebank.
We divided the whole Penn Treebank data into
two sections, one for training and the other for
testing.
As required in our statistical model, we have to
calcu...