diff --git a/native/jni/src/correction.cpp b/native/jni/src/correction.cpp
index 76234f8..0c65939 100644
--- a/native/jni/src/correction.cpp
+++ b/native/jni/src/correction.cpp
@@ -675,7 +675,7 @@
                 multiplyIntCapped(typedLetterMultiplier, &finalFreq);
             }
             const float factor =
-                    SuggestUtils::getDistanceScalingFactor(static_cast<float>(squaredDistance));
+                    SuggestUtils::getLengthScalingFactor(static_cast<float>(squaredDistance));
             if (factor > 0.0f) {
                 multiplyRate(static_cast<int>(factor * 100.0f), &finalFreq);
             } else if (squaredDistance == PROXIMITY_CHAR_WITHOUT_DISTANCE_INFO) {
diff --git a/native/jni/src/proximity_info_state.cpp b/native/jni/src/proximity_info_state.cpp
index a10b260..cc5b736 100644
--- a/native/jni/src/proximity_info_state.cpp
+++ b/native/jni/src/proximity_info_state.cpp
@@ -81,7 +81,7 @@
         mSampledTimes.clear();
         mSampledInputIndice.clear();
         mSampledLengthCache.clear();
-        mSampledDistanceCache_G.clear();
+        mSampledNormalizedSquaredLengthCache.clear();
         mSampledNearKeySets.clear();
         mSampledSearchKeySets.clear();
         mSpeedRates.clear();
@@ -122,14 +122,15 @@
     if (mSampledInputSize > 0) {
         ProximityInfoStateUtils::initGeometricDistanceInfos(mProximityInfo, mSampledInputSize,
                 lastSavedInputSize, verticalSweetSpotScale, &mSampledInputXs, &mSampledInputYs,
-                &mSampledNearKeySets, &mSampledDistanceCache_G);
+                &mSampledNearKeySets, &mSampledNormalizedSquaredLengthCache);
         if (isGeometric) {
             // updates probabilities of skipping or mapping each key for all points.
             ProximityInfoStateUtils::updateAlignPointProbabilities(
                     mMaxPointToKeyLength, mProximityInfo->getMostCommonKeyWidth(),
                     mProximityInfo->getKeyCount(), lastSavedInputSize, mSampledInputSize,
                     &mSampledInputXs, &mSampledInputYs, &mSpeedRates, &mSampledLengthCache,
-                    &mSampledDistanceCache_G, &mSampledNearKeySets, &mCharProbabilities);
+                    &mSampledNormalizedSquaredLengthCache, &mSampledNearKeySets,
+                    &mCharProbabilities);
             ProximityInfoStateUtils::updateSampledSearchKeySets(mProximityInfo,
                     mSampledInputSize, lastSavedInputSize, &mSampledLengthCache,
                     &mSampledNearKeySets, &mSampledSearchKeySets,
@@ -171,7 +172,7 @@
     const int keyId = mProximityInfo->getKeyIndexOf(codePoint);
     if (keyId != NOT_AN_INDEX) {
         const int index = inputIndex * mProximityInfo->getKeyCount() + keyId;
-        return min(mSampledDistanceCache_G[index], mMaxPointToKeyLength);
+        return min(mSampledNormalizedSquaredLengthCache[index], mMaxPointToKeyLength);
     }
     if (isIntentionalOmissionCodePoint(codePoint)) {
         return 0.0f;
@@ -183,7 +184,8 @@
 float ProximityInfoState::getPointToKeyByIdLength(
         const int inputIndex, const int keyId) const {
     return ProximityInfoStateUtils::getPointToKeyByIdLength(mMaxPointToKeyLength,
-            &mSampledDistanceCache_G, mProximityInfo->getKeyCount(), inputIndex, keyId);
+            &mSampledNormalizedSquaredLengthCache, mProximityInfo->getKeyCount(), inputIndex,
+            keyId);
 }
 
 // In the following function, c is the current character of the dictionary word currently examined.
diff --git a/native/jni/src/proximity_info_state.h b/native/jni/src/proximity_info_state.h
index 9bba751..bbe8af2 100644
--- a/native/jni/src/proximity_info_state.h
+++ b/native/jni/src/proximity_info_state.h
@@ -49,8 +49,8 @@
               mKeyCount(0), mCellHeight(0), mCellWidth(0), mGridHeight(0), mGridWidth(0),
               mIsContinuousSuggestionPossible(false), mSampledInputXs(), mSampledInputYs(),
               mSampledTimes(), mSampledInputIndice(), mSampledLengthCache(),
-              mBeelineSpeedPercentiles(), mSampledDistanceCache_G(), mSpeedRates(), mDirections(),
-              mCharProbabilities(), mSampledNearKeySets(), mSampledSearchKeySets(),
+              mBeelineSpeedPercentiles(), mSampledNormalizedSquaredLengthCache(), mSpeedRates(),
+              mDirections(), mCharProbabilities(), mSampledNearKeySets(), mSampledSearchKeySets(),
               mSampledSearchKeyVectors(), mTouchPositionCorrectionEnabled(false),
               mSampledInputSize(0), mMostProbableStringProbability(0.0f) {
         memset(mInputProximities, 0, sizeof(mInputProximities));
@@ -147,7 +147,9 @@
         return mIsContinuousSuggestionPossible;
     }
 
+    // TODO: Rename s/Length/NormalizedSquaredLength/
     float getPointToKeyByIdLength(const int inputIndex, const int keyId) const;
+    // TODO: Rename s/Length/NormalizedSquaredLength/
     float getPointToKeyLength(const int inputIndex, const int codePoint) const;
 
     ProximityType getProximityType(const int index, const int codePoint,
@@ -231,7 +233,7 @@
     std::vector<int> mSampledInputIndice;
     std::vector<int> mSampledLengthCache;
     std::vector<int> mBeelineSpeedPercentiles;
-    std::vector<float> mSampledDistanceCache_G;
+    std::vector<float> mSampledNormalizedSquaredLengthCache;
     std::vector<float> mSpeedRates;
     std::vector<float> mDirections;
     // probabilities of skipping or mapping to a key for each point.
diff --git a/native/jni/src/proximity_info_state_utils.cpp b/native/jni/src/proximity_info_state_utils.cpp
index df70cff..359673c 100644
--- a/native/jni/src/proximity_info_state_utils.cpp
+++ b/native/jni/src/proximity_info_state_utils.cpp
@@ -225,13 +225,13 @@
         const int lastSavedInputSize, const float verticalSweetSpotScale,
         const std::vector<int> *const sampledInputXs,
         const std::vector<int> *const sampledInputYs,
-        std::vector<NearKeycodesSet> *SampledNearKeySets,
-        std::vector<float> *SampledDistanceCache_G) {
-    SampledNearKeySets->resize(sampledInputSize);
+        std::vector<NearKeycodesSet> *sampledNearKeySets,
+        std::vector<float> *sampledNormalizedSquaredLengthCache) {
+    sampledNearKeySets->resize(sampledInputSize);
     const int keyCount = proximityInfo->getKeyCount();
-    SampledDistanceCache_G->resize(sampledInputSize * keyCount);
+    sampledNormalizedSquaredLengthCache->resize(sampledInputSize * keyCount);
     for (int i = lastSavedInputSize; i < sampledInputSize; ++i) {
-        (*SampledNearKeySets)[i].reset();
+        (*sampledNearKeySets)[i].reset();
         for (int k = 0; k < keyCount; ++k) {
             const int index = i * keyCount + k;
             const int x = (*sampledInputXs)[i];
@@ -239,10 +239,10 @@
             const float normalizedSquaredDistance =
                     proximityInfo->getNormalizedSquaredDistanceFromCenterFloatG(
                             k, x, y, verticalSweetSpotScale);
-            (*SampledDistanceCache_G)[index] = normalizedSquaredDistance;
+            (*sampledNormalizedSquaredLengthCache)[index] = normalizedSquaredDistance;
             if (normalizedSquaredDistance
                     < ProximityInfoParams::NEAR_KEY_NORMALIZED_SQUARED_THRESHOLD) {
-                (*SampledNearKeySets)[i][k] = true;
+                (*sampledNearKeySets)[i][k] = true;
             }
         }
     }
@@ -642,11 +642,11 @@
 // This function basically converts from a length to an edit distance. Accordingly, it's obviously
 // wrong to compare with mMaxPointToKeyLength.
 /* static */ float ProximityInfoStateUtils::getPointToKeyByIdLength(const float maxPointToKeyLength,
-        const std::vector<float> *const SampledDistanceCache_G, const int keyCount,
+        const std::vector<float> *const sampledNormalizedSquaredLengthCache, const int keyCount,
         const int inputIndex, const int keyId) {
     if (keyId != NOT_AN_INDEX) {
         const int index = inputIndex * keyCount + keyId;
-        return min((*SampledDistanceCache_G)[index], maxPointToKeyLength);
+        return min((*sampledNormalizedSquaredLengthCache)[index], maxPointToKeyLength);
     }
     // If the char is not a key on the keyboard then return the max length.
     return static_cast<float>(MAX_VALUE_FOR_WEIGHTING);
@@ -660,8 +660,8 @@
         const std::vector<int> *const sampledInputYs,
         const std::vector<float> *const sampledSpeedRates,
         const std::vector<int> *const sampledLengthCache,
-        const std::vector<float> *const SampledDistanceCache_G,
-        std::vector<NearKeycodesSet> *SampledNearKeySets,
+        const std::vector<float> *const sampledNormalizedSquaredLengthCache,
+        std::vector<NearKeycodesSet> *sampledNearKeySets,
         std::vector<hash_map_compat<int, float> > *charProbabilities) {
     charProbabilities->resize(sampledInputSize);
     // Calculates probabilities of using a point as a correlated point with the character
@@ -677,9 +677,9 @@
 
         float nearestKeyDistance = static_cast<float>(MAX_VALUE_FOR_WEIGHTING);
         for (int j = 0; j < keyCount; ++j) {
-            if ((*SampledNearKeySets)[i].test(j)) {
+            if ((*sampledNearKeySets)[i].test(j)) {
                 const float distance = getPointToKeyByIdLength(
-                        maxPointToKeyLength, SampledDistanceCache_G, keyCount, i, j);
+                        maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount, i, j);
                 if (distance < nearestKeyDistance) {
                     nearestKeyDistance = distance;
                 }
@@ -758,14 +758,15 @@
         // Summing up probability densities of all near keys.
         float sumOfProbabilityDensities = 0.0f;
         for (int j = 0; j < keyCount; ++j) {
-            if ((*SampledNearKeySets)[i].test(j)) {
+            if ((*sampledNearKeySets)[i].test(j)) {
                 float distance = sqrtf(getPointToKeyByIdLength(
-                        maxPointToKeyLength, SampledDistanceCache_G, keyCount, i, j));
+                        maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount, i, j));
                 if (i == 0 && i != sampledInputSize - 1) {
                     // For the first point, weighted average of distances from first point and the
                     // next point to the key is used as a point to key distance.
                     const float nextDistance = sqrtf(getPointToKeyByIdLength(
-                            maxPointToKeyLength, SampledDistanceCache_G, keyCount, i + 1, j));
+                            maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount,
+                            i + 1, j));
                     if (nextDistance < distance) {
                         // The distance of the first point tends to bigger than continuing
                         // points because the first touch by the user can be sloppy.
@@ -779,7 +780,8 @@
                     // For the first point, weighted average of distances from last point and
                     // the previous point to the key is used as a point to key distance.
                     const float previousDistance = sqrtf(getPointToKeyByIdLength(
-                            maxPointToKeyLength, SampledDistanceCache_G, keyCount, i - 1, j));
+                            maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount,
+                            i - 1, j));
                     if (previousDistance < distance) {
                         // The distance of the last point tends to bigger than continuing points
                         // because the last touch by the user can be sloppy. So we promote the
@@ -798,14 +800,15 @@
 
         // Split the probability of an input point to keys that are close to the input point.
         for (int j = 0; j < keyCount; ++j) {
-            if ((*SampledNearKeySets)[i].test(j)) {
+            if ((*sampledNearKeySets)[i].test(j)) {
                 float distance = sqrtf(getPointToKeyByIdLength(
-                        maxPointToKeyLength, SampledDistanceCache_G, keyCount, i, j));
+                        maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount, i, j));
                 if (i == 0 && i != sampledInputSize - 1) {
                     // For the first point, weighted average of distances from the first point and
                     // the next point to the key is used as a point to key distance.
                     const float prevDistance = sqrtf(getPointToKeyByIdLength(
-                            maxPointToKeyLength, SampledDistanceCache_G, keyCount, i + 1, j));
+                            maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount,
+                            i + 1, j));
                     if (prevDistance < distance) {
                         distance = (distance
                                 + prevDistance * ProximityInfoParams::NEXT_DISTANCE_WEIGHT)
@@ -815,7 +818,8 @@
                     // For the first point, weighted average of distances from last point and
                     // the previous point to the key is used as a point to key distance.
                     const float prevDistance = sqrtf(getPointToKeyByIdLength(
-                            maxPointToKeyLength, SampledDistanceCache_G, keyCount, i - 1, j));
+                            maxPointToKeyLength, sampledNormalizedSquaredLengthCache, keyCount,
+                            i - 1, j));
                     if (prevDistance < distance) {
                         distance = (distance
                                 + prevDistance * ProximityInfoParams::PREV_DISTANCE_WEIGHT)
@@ -882,10 +886,10 @@
         for (int j = 0; j < keyCount; ++j) {
             hash_map_compat<int, float>::iterator it = (*charProbabilities)[i].find(j);
             if (it == (*charProbabilities)[i].end()){
-                (*SampledNearKeySets)[i].reset(j);
+                (*sampledNearKeySets)[i].reset(j);
             } else if(it->second < ProximityInfoParams::MIN_PROBABILITY) {
                 // Erases from near keys vector because it has very low probability.
-                (*SampledNearKeySets)[i].reset(j);
+                (*sampledNearKeySets)[i].reset(j);
                 (*charProbabilities)[i].erase(j);
             } else {
                 it->second = -logf(it->second);
@@ -899,7 +903,7 @@
         const ProximityInfo *const proximityInfo, const int sampledInputSize,
         const int lastSavedInputSize,
         const std::vector<int> *const sampledLengthCache,
-        const std::vector<NearKeycodesSet> *const SampledNearKeySets,
+        const std::vector<NearKeycodesSet> *const sampledNearKeySets,
         std::vector<NearKeycodesSet> *sampledSearchKeySets,
         std::vector<std::vector<int> > *sampledSearchKeyVectors) {
     sampledSearchKeySets->resize(sampledInputSize);
@@ -916,7 +920,7 @@
             if ((*sampledLengthCache)[j] - (*sampledLengthCache)[i] >= readForwordLength) {
                 break;
             }
-            (*sampledSearchKeySets)[i] |= (*SampledNearKeySets)[j];
+            (*sampledSearchKeySets)[i] |= (*sampledNearKeySets)[j];
         }
     }
     const int keyCount = proximityInfo->getKeyCount();
diff --git a/native/jni/src/proximity_info_state_utils.h b/native/jni/src/proximity_info_state_utils.h
index c9feb59..1837c7a 100644
--- a/native/jni/src/proximity_info_state_utils.h
+++ b/native/jni/src/proximity_info_state_utils.h
@@ -71,25 +71,25 @@
             const std::vector<int> *const sampledInputYs,
             const std::vector<float> *const sampledSpeedRates,
             const std::vector<int> *const sampledLengthCache,
-            const std::vector<float> *const SampledDistanceCache_G,
-            std::vector<NearKeycodesSet> *SampledNearKeySets,
+            const std::vector<float> *const sampledNormalizedSquaredLengthCache,
+            std::vector<NearKeycodesSet> *sampledNearKeySets,
             std::vector<hash_map_compat<int, float> > *charProbabilities);
     static void updateSampledSearchKeySets(const ProximityInfo *const proximityInfo,
             const int sampledInputSize, const int lastSavedInputSize,
             const std::vector<int> *const sampledLengthCache,
-            const std::vector<NearKeycodesSet> *const SampledNearKeySets,
+            const std::vector<NearKeycodesSet> *const sampledNearKeySets,
             std::vector<NearKeycodesSet> *sampledSearchKeySets,
             std::vector<std::vector<int> > *sampledSearchKeyVectors);
     static float getPointToKeyByIdLength(const float maxPointToKeyLength,
-            const std::vector<float> *const SampledDistanceCache_G, const int keyCount,
+            const std::vector<float> *const sampledNormalizedSquaredLengthCache, const int keyCount,
             const int inputIndex, const int keyId);
     static void initGeometricDistanceInfos(const ProximityInfo *const proximityInfo,
             const int sampledInputSize, const int lastSavedInputSize,
             const float verticalSweetSpotScale,
             const std::vector<int> *const sampledInputXs,
             const std::vector<int> *const sampledInputYs,
-            std::vector<NearKeycodesSet> *SampledNearKeySets,
-            std::vector<float> *SampledDistanceCache_G);
+            std::vector<NearKeycodesSet> *sampledNearKeySets,
+            std::vector<float> *sampledNormalizedSquaredLengthCache);
     static void initPrimaryInputWord(const int inputSize, const int *const inputProximities,
             int *primaryInputWord);
     static void initNormalizedSquaredDistances(const ProximityInfo *const proximityInfo,
diff --git a/native/jni/src/suggest/core/session/dic_traverse_session.h b/native/jni/src/suggest/core/session/dic_traverse_session.h
index a7c042a..fe05276 100644
--- a/native/jni/src/suggest/core/session/dic_traverse_session.h
+++ b/native/jni/src/suggest/core/session/dic_traverse_session.h
@@ -146,6 +146,10 @@
         return true;
     }
 
+    bool isTouchPositionCorrectionEnabled() const {
+        return mProximityInfoStates[0].touchPositionCorrectionEnabled();
+    }
+
  private:
     DISALLOW_IMPLICIT_CONSTRUCTORS(DicTraverseSession);
     // threshold to start caching
diff --git a/native/jni/src/suggest/policyimpl/typing/typing_weighting.h b/native/jni/src/suggest/policyimpl/typing/typing_weighting.h
index 52d54eb..2dcee34 100644
--- a/native/jni/src/suggest/policyimpl/typing/typing_weighting.h
+++ b/native/jni/src/suggest/policyimpl/typing/typing_weighting.h
@@ -18,6 +18,7 @@
 #define LATINIME_TYPING_WEIGHTING_H
 
 #include "defines.h"
+#include "suggest_utils.h"
 #include "suggest/core/dicnode/dic_node_utils.h"
 #include "suggest/core/policy/weighting.h"
 #include "suggest/core/session/dic_traverse_session.h"
@@ -70,10 +71,12 @@
         const int pointIndex = dicNode->getInputIndex(0);
         // Note: min() required since length can be MAX_POINT_TO_KEY_LENGTH for characters not on
         // the keyboard (like accented letters)
-        const float length = min(ScoringParams::MAX_SPATIAL_DISTANCE,
-                traverseSession->getProximityInfoState(0)->getPointToKeyLength(
-                        pointIndex, dicNode->getNodeCodePoint()));
-        const float weightedDistance = length * ScoringParams::DISTANCE_WEIGHT_LENGTH;
+        const float normalizedSquaredLength = traverseSession->getProximityInfoState(0)
+                ->getPointToKeyLength(pointIndex, dicNode->getNodeCodePoint());
+        const float normalizedDistance = SuggestUtils::getSweetSpotFactor(
+                traverseSession->isTouchPositionCorrectionEnabled(), normalizedSquaredLength);
+        const float weightedDistance = ScoringParams::DISTANCE_WEIGHT_LENGTH * normalizedDistance;
+
         const bool isFirstChar = pointIndex == 0;
         const bool isProximity = isProximityDicNode(traverseSession, dicNode);
         const float cost = isProximity ? (isFirstChar ? ScoringParams::FIRST_PROXIMITY_COST
diff --git a/native/jni/src/suggest_utils.h b/native/jni/src/suggest_utils.h
index aab9f7b..e053dd6 100644
--- a/native/jni/src/suggest_utils.h
+++ b/native/jni/src/suggest_utils.h
@@ -23,10 +23,8 @@
 namespace latinime {
 class SuggestUtils {
  public:
-    static float getDistanceScalingFactor(const float normalizedSquaredDistance) {
-        if (normalizedSquaredDistance < 0.0f) {
-            return -1.0f;
-        }
+    // TODO: (OLD) Remove
+    static float getLengthScalingFactor(const float normalizedSquaredDistance) {
         // Promote or demote the score according to the distance from the sweet spot
         static const float A = ZERO_DISTANCE_PROMOTION_RATE / 100.0f;
         static const float B = 1.0f;
@@ -50,6 +48,39 @@
         return factor;
     }
 
+    static float getSweetSpotFactor(const bool isTouchPositionCorrectionEnabled,
+            const float normalizedSquaredDistance) {
+        // Promote or demote the score according to the distance from the sweet spot
+        static const float A = 0.0f;
+        static const float B = 0.24f;
+        static const float C = 1.20f;
+        static const float R0 = 0.0f;
+        static const float R1 = 0.25f; // Sweet spot
+        static const float R2 = 1.0f;
+        const float x = normalizedSquaredDistance;
+        if (!isTouchPositionCorrectionEnabled) {
+            return min(C, x);
+        }
+
+        // factor is a piecewise linear function like:
+        // C        -------------.
+        //         /             .
+        // B      /              .
+        //      -/               .
+        // A _-^                 .
+        //                       .
+        //   R0 R1 R2            .
+
+        if (x < R0) {
+            return A;
+        } else if (x < R1) {
+            return (A * (R1 - x) + B * (x - R0)) / (R1 - R0);
+        } else if (x < R2) {
+            return (B * (R2 - x) + C * (x - R1)) / (R2 - R1);
+        } else {
+            return C;
+        }
+    }
  private:
     DISALLOW_IMPLICIT_CONSTRUCTORS(SuggestUtils);
 };