Báo cáo khoa học: "A Topic Similarity Model for Hierarchical Phrase-based Translation" ppt
Báo cáo khoa học: "A Topic Similarity Model for Hierarchical Phrase-based Translation" ppt
... Association for Computational Linguistics, pages 750–758,
Jeju, Republic of Korea, 8-14 July 2012.
c
2012 Association for Computational Linguistics
A Topic Similarity Model
for Hierarchical Phrase-based ... calculate the dis-
tance is using topic model.
Gong et al. (2010) introduce topic model for fil-
tering topic- mismatched phrase pairs. They first as-
sign a spec...
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, ... describes a phrase-based model for SMT
similar to the models presented in (Koehn et al., 2003;
Och et al., 1999; Tillmann and Xia, 2003). In our pa-
per, phrase pairs are na...
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 Unified Graph Model for Sentence-based Opinion Retrieval" pdf
... performance
was very low on topic 8 and topic 11. Topic 8, i.e.
‘成龙’ (Jackie Chan), it was influenced by topic
7, i.e. ‘李连杰’ (Jet Lee) as there were a number
of similar relevant targets for ... targets for the two topics, and
therefore many word pairs ended up the same.
As a result, documents belonging to topic 7 and
topic 8 could not be differentiated, and they bot...
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 ... consistently outper-
forms the PCFG model on this metric, as for UAS,
and BAS. Concerning the other metrics, as the
number of k-best candidates increases, the PCFG
model outpe...
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 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 ...
AROA Air Travel Information System (ATIS) database.
Our results are interpreted within our "speech-first"
framework for investigating repairs, the REPAIR IN-
TERVAL MODEL (...
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 Discriminative Language Model with Pseudo-Negative Samples" pptx
... discussed except
for the topic- based language model (David M. Blei,
2003; Wang et al., 2005), our result may encourage
the study of the combination of features for language
modeling.
A contrastive ... problem is that NLMs
cannot handle overlapping information or non-local
information easily, which is important for more ac-
curate sentence classification. For example, a NLM
could as...
Báo cáo khoa học: "A Unified Statistical Model for the Identification of English BaseNP" pptx
... calculation formulas are similar
with equations (13) and (14) respectively.
Before training trigram model (3), all possible
baseNP rules should be extracted from the
training corpus. For instance, ... describe the two-pass
statistical model, parameters training and Viterbi
algorithm for the search of the best sequences of
POS tagging and baseNP identification. Before
describing our alg...